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Journal articles on the topic 'Science maps'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Petrovich, Eugenio. "Science Mapping and Science Maps." KNOWLEDGE ORGANIZATION 48, no. 7-8 (2021): 535–62. http://dx.doi.org/10.5771/0943-7444-2021-7-8-535.

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Science maps are visual representations of the structure and dynamics of scholarly knowledge. They aim to show how fields, disciplines, journals, scientists, publications, and scientific terms relate to each other. Science mapping is the body of methods and techniques that have been developed for generating science maps. This entry is an introduction to science maps and science mapping. It focuses on the conceptual, theoretical, and methodological issues of science mapping, rather than on the mathematical formulation of science mapping techniques. After a brief history of science mapping, we

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2

Petrovich, Eugenio. "Science Mapping and Science Maps." KNOWLEDGE ORGANIZATION 48, no. 7-8 (2021): 535–62. http://dx.doi.org/10.5771/0943-7444-7-8-535.

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Science maps are visual representations of the structure and dynamics of scholarly knowledge. They aim to show how fields, disciplines, journals, scientists, publications, and scientific terms relate to each other. Science mapping is the body of methods and techniques that have been developed for generating science maps. This entry is an introduction to science maps and science mapping. It focuses on the conceptual, theoretical, and methodological issues of science mapping, rather than on the mathematical formulation of science mapping techniques. After a brief history of science mapping, we

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3

Carley, Stephen, Alan L. Porter, Ismael Rafols, and Loet Leydesdorff. "Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps." Journal of Data and Information Science 2, no. 3 (2017): 68–111. http://dx.doi.org/10.1515/jdis-2017-0015.

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Abstract Purpose The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps. Design/methodology/approach We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n = 3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social

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4

Ramezani, Hadi, Mehdi Alipour-Hafezi, and Esmat Momeni. "Scientific Maps: Methods and Techniques." Promotion of Science 5, no. 6 (2014): 53–84. https://doi.org/10.5281/zenodo.14035799.

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Scientific publications are rapidly developing as a result of science domains development. Therefore tracing research trends in various domains of science has become a challenge. In fact, limitations of conventional methods of analysis of various domains of science and their weaknesses in representing a comprehensive view of knowledge, has led specialists of scientometrics and computer science to develop new methods to overcome it. In this direction, scientometrics specialists have been combined scientometrics indicators and methods with new visualization techniques to provide tools in order t

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5

Tartas, Valérie. "Learning science with dialogical maps." Inovacije u nastavi 28, no. 3 (2015): 50–66. http://dx.doi.org/10.5937/inovacije1503050t.

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6

Ma, Jianghua. "Global Maps of Science Based on Paper-level Classifications of Science." Journal of Innovation and Development 7, no. 1 (2024): 14–18. http://dx.doi.org/10.54097/01y5hp65.

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Science mapping (or mapping knowledge domains) has been a hot topic in scientometrics field since 1990s. Science maps are generally created by analyzing different kinds of scientific literatures, including journal articles, conference proceedings, patents, books, and monographs. Citation analysis (eg. direct citation, co-citation, bibliographic coupling and hybrid approach) with units in different granularity (eg. authors, keywords, articles, journals and cate-gories) is the most popular method to create maps of science. In this study, paper-level classification codes of science based on Chine

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7

Gibbons, Ann. "Traveling Without Maps." Science 260, no. 5106 (1993): 399. http://dx.doi.org/10.1126/science.260.5106.399.

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8

Underwood, E. "Expanding our mental maps." Science 352, no. 6292 (2016): 1378. http://dx.doi.org/10.1126/science.352.6292.1378.

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9

Dulac, C. "NEUROSCIENCE: Charting Olfactory Maps." Science 314, no. 5799 (2006): 606–7. http://dx.doi.org/10.1126/science.1135139.

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10

ROVNER, SOPHIE. "HARVARD MAPS OUT ITS SCIENCE FUTURE." Chemical & Engineering News 84, no. 30 (2006): 10. http://dx.doi.org/10.1021/cen-v084n030.p010.

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11

Marshakova-Shaikevich, Irina. "Bibliometric maps of field of science." Information Processing & Management 41, no. 6 (2005): 1534–47. http://dx.doi.org/10.1016/j.ipm.2005.03.027.

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12

Chamberlain, Robert P. "Using Concept Maps in Political Science." Journal of Political Science Education 11, no. 3 (2015): 347–57. http://dx.doi.org/10.1080/15512169.2015.1047103.

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13

Wheeldon, Johannes, and Jacqueline Faubert. "Framing Experience: Concept Maps, Mind Maps, and Data Collection in Qualitative Research." International Journal of Qualitative Methods 8, no. 3 (2009): 68–83. http://dx.doi.org/10.1177/160940690900800307.

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Traditionally, qualitative data collection has focused on observation, interviews, and document or artifact review. Building on earlier work on concept mapping in the social sciences, the authors describe its use in an exploratory pilot study on the perceptions of four Canadians who worked abroad on a criminal justice reform project. Drawing on this study, the authors argue that traditional definitions of concept mapping should be expanded to include more flexible approaches to the collection of graphic representations of experience. In this way, user-generated maps can assist participants to

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14

Eryilmaz Mustu, Ozlem. "Alternative Assessment and Evaluation in Science Education: Mind Maps and Concept Maps." Science Insights Education Frontiers 22, no. 2 (2024): 3583–96. http://dx.doi.org/10.15354/sief.24.or587.

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In this study, concept maps and mind maps, which are alternative assessment and evaluation tools used in science education, were examined. The study aimed to quantitatively evaluate the concept maps and mind maps prepared by pre-service science teachers dealing with the concept of atoms. Thus, it was aimed to describe the concept of atom in the minds of pre-service teachers with different assessment tools. A case study approach was used in the study, which is one of the quantitative research designs. The study group consisted of 15 pre-service teachers teaching science in the fourth grade. Cri

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15

Westphal, A. J., J. C. Bridges, D. E. Brownlee, et al. "The future of Stardust science." Meteoritics & Planetary Science 52, no. 9 (2017): 1859–98. http://dx.doi.org/10.1111/maps.12893.

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16

Burnett, D. S., A. J. G. Jurewicz, and D. S. Woolum. "The future of Genesis science." Meteoritics & Planetary Science 54, no. 5 (2019): 1092–114. http://dx.doi.org/10.1111/maps.13266.

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17

Chipperfield, M., M. Maidek, P. Pearson, et al. "Genome maps 1991 [wall chart]." Science 254, no. 5029 (1991): 247–62. http://dx.doi.org/10.1126/science.254.5029.247.

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18

Chipperfield, M., M. Maidek, P. Pearson, et al. "Genome maps 1991 [wall chart]." Science 254, no. 5029 (1991): 247–62. http://dx.doi.org/10.1126/science.1925580.

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19

Farr, C., and P. Goodfellow. "Hidden messages in genetic maps." Science 258, no. 5079 (1992): 49. http://dx.doi.org/10.1126/science.1439767.

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20

Kahn, P. "Germany warily maps genome project." Science 268, no. 5217 (1995): 1556–58. http://dx.doi.org/10.1126/science.7777848.

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21

James, J. "Shuttle Radar Maps Ancient Angkor." Science 267, no. 5200 (1995): 965. http://dx.doi.org/10.1126/science.267.5200.965.

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22

R., L. "Plant Maps, Public and Private." Science 248, no. 4955 (1990): 551. http://dx.doi.org/10.1126/science.248.4955.551.

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23

Fahrenkamp-Uppenbrink, J. "Groundwater Maps for Africa." Science 336, no. 6082 (2012): 649. http://dx.doi.org/10.1126/science.336.6082.649-c.

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24

Nagórka, Piotr. "Conceptual Maps of European Values." International Journal on Language, Literature and Culture in Education 4, no. 1 (2017): 3–33. http://dx.doi.org/10.1515/llce-2017-0001.

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AbstractSystems of human values reflected in European languages have not yet been diagnosed in language sciences, as no accurate diagnostic measures have been proposed. Research has been conducted into methods of modelling conceptual systems of moral values. Since ethics, unlike subjects related to natural sciences, resists lexicographic approach reliant on topicality, linked with market demand, a new research method has been devised. Specialised lexicography tools can be optimized to deal with the subject of ethics. The new method takes into account differences between subject areas regarding

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25

Warhus, Mark. "Maps are Territories: Science is an Atlas." Cartographic Perspectives, no. 19 (September 1, 1994): 51–53. http://dx.doi.org/10.14714/cp19.921.

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26

Levenson, L., G. Marsden, M. Zemcov, et al. "HerMES: SPIRE Science Demonstration Phase maps★†‡." Monthly Notices of the Royal Astronomical Society 409, no. 1 (2010): 83–91. http://dx.doi.org/10.1111/j.1365-2966.2010.17771.x.

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27

Klavans, Richard, and Kevin W. Boyack. "Quantitative evaluation of large maps of science." Scientometrics 68, no. 3 (2006): 475–99. http://dx.doi.org/10.1007/s11192-006-0125-x.

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28

Davenport, R. J. "GENETICS: Faster Maps Mean Fewer Mice." Science 292, no. 5523 (2001): 1814–15. http://dx.doi.org/10.1126/science.292.5523.1814.

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29

Stryker, M. P. "NEUROSCIENCE:Enhanced: Sensory Maps on the Move." Science 284, no. 5416 (1999): 925–26. http://dx.doi.org/10.1126/science.284.5416.925.

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30

Riquimaroux, H., S. Gaioni, and N. Suga. "Cortical computational maps control auditory perception." Science 251, no. 4993 (1991): 565–68. http://dx.doi.org/10.1126/science.1990432.

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31

Mandel, J., A. Monaco, D. Nelson, et al. "Genome maps III. 1992. Wall Chart." Science 258, no. 5079 (1992): 87–102. http://dx.doi.org/10.1126/science.1439771.

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32

Copeland, N., D. Gilbert, N. Jenkins, et al. "Genome maps IV 1993. Wall chart." Science 262, no. 5130 (1993): 67–82. http://dx.doi.org/10.1126/science.8211131.

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33

John, E., Y. Tang, A. Brill, R. Young, and K. Ono. "Double-labeled metabolic maps of memory." Science 233, no. 4769 (1986): 1167–75. http://dx.doi.org/10.1126/science.3488590.

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34

Gibbons, A. "New maps of the human brain." Science 249, no. 4965 (1990): 122–23. http://dx.doi.org/10.1126/science.2371560.

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35

Smith, O. M. "NEUROSCIENCE: Memory Maps in the Brain." Science 287, no. 5450 (2000): 13c—13. http://dx.doi.org/10.1126/science.287.5450.13c.

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36

Stern, Peter. "Mechanisms for maintaining mental maps." Science 357, no. 6347 (2017): 160.2–161. http://dx.doi.org/10.1126/science.357.6347.160-b.

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37

Aciole, Douglas de Souza Braga, Anne Albuquerque Filgueira, Thiago Jesus da Silva Xavier, et al. "Enfoques aos mapas conceituais e ao esqueleto de mapa na aprendizagem sobre biodiversidade / Approaches to concept maps and skeleton concept maps in biodiversity learning." Brazilian Journal of Development 7, no. 12 (2021): 116880–94. http://dx.doi.org/10.34117/bjdv7n12-443.

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38

PELLENBARG, PIET H., and PAUL J. M. VAN STEEN. "PLACE AND SCIENCE: INTRODUCTION TO THE 2009 MAPS." Tijdschrift voor economische en sociale geografie 100, no. 1 (2009): 134–36. http://dx.doi.org/10.1111/j.1467-9663.2009.00515.x.

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39

Tsai, Chin-Chung. "Enhancing science instruction: the use of 'conflict maps'." International Journal of Science Education 22, no. 3 (2000): 285–302. http://dx.doi.org/10.1080/095006900289886.

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40

Burns, Helen. "Visualizing social science research. Maps, methods, and meaning." International Journal of Research & Method in Education 35, no. 3 (2012): 328–29. http://dx.doi.org/10.1080/1743727x.2012.724906.

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41

Bollen, Johan, Herbert Van de Sompel, Aric Hagberg, et al. "Clickstream Data Yields High-Resolution Maps of Science." PLoS ONE 4, no. 3 (2009): e4803. http://dx.doi.org/10.1371/journal.pone.0004803.

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42

SKYBA, V., M. HANCHUK, N. VOZNIUK, and O. LIKHO. "INTERACTIVE GIS-MAPS IN TEACHING ENVIRONMENTAL SCIENCE DISCIPLINES." Scientific papers of Berdiansk State Pedagogical University Series Pedagogical sciences 1, no. 2 (2022): 408–22. http://dx.doi.org/10.31494/2412-9208-2022-1-2-408-422.

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The authors propose a selection of interactive GIS-applications, oriented to be used in the educational process in the training of environmental specialists. Most of the web-resources presented in the text of the publication have been developed by environmental organizations and communities of scientists on the basis of legislative norms, international treaties and conventions; their key objective is to generalize approaches and methods of environmental data processing. Products of remote sensing of the Earth's surface allow a teacher to visualize the global nature and technogenic processes an

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43

Pratto, F., K. Brick, P. Khil, F. Smagulova, G. V. Petukhova, and R. D. Camerini-Otero. "Recombination initiation maps of individual human genomes." Science 346, no. 6211 (2014): 1256442. http://dx.doi.org/10.1126/science.1256442.

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44

Voosen, Paul. "Ice monitor delivers a bonus: seafloor maps." Science 368, no. 6488 (2020): 224. http://dx.doi.org/10.1126/science.368.6488.224.

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45

Pennisi, Elizabeth. "Detailed genome maps paths to better wheat." Science 361, no. 6403 (2018): 635. http://dx.doi.org/10.1126/science.361.6403.635.

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46

Glanz, J. "Astronomy: Adding Depth to X-ray Maps." Science 271, no. 5251 (1996): 908. http://dx.doi.org/10.1126/science.271.5251.908.

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47

Rakic, P. "NEUROBIOLOGY: Enhanced: Neurocreationism--Making New Cortical Maps." Science 294, no. 5544 (2001): 1011–12. http://dx.doi.org/10.1126/science.294.5544.1011.

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48

Kaiser, J. "PROTEOMICS: Public-Private Group Maps Out Initiatives." Science 296, no. 5569 (2002): 827. http://dx.doi.org/10.1126/science.296.5569.827.

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49

Waldrop, M. M. "New Maps of a Very Strange Place." Science 250, no. 4985 (1990): 1206. http://dx.doi.org/10.1126/science.250.4985.1206.

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50

Li, W. H., J. Nadeau, E. Ostrander, B. Van Valkenburgh, and P. Waddell. "Comparative Genomics: Mammalian Radiations -- Genome Maps 10." Science 286, no. 5439 (1999): 463–78. http://dx.doi.org/10.1126/science.286.5439.463.

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