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Journal articles on the topic 'Mapping science'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Jesenko, Berndt, and Christian Schlögl. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences." Scientometrics 126, no. 8 (2021): 6785–801. http://dx.doi.org/10.1007/s11192-021-04060-4.

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AbstractThe primary goal of this article is to identify the research fronts on the application of data-driven methods in business and economics. For this purpose, the research literature of the business and economic sciences Subject Categories from the Web of Science is mapped using BibExcel and VOSviewer. Since the assignment to subject categories is done at the journal level and since a journal is often assigned to several subject categories in Web of Science, two mappings are performed: one without considering multiple assignments (broad view) and one considering only those (articles from)

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2

Shneiderman, Ben. "Communication: Mapping science." Nature 468, no. 7327 (2010): 1037. http://dx.doi.org/10.1038/4681037a.

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3

Benarie, Michel. "Earth science mapping." Science of The Total Environment 104, no. 3 (1991): 252. http://dx.doi.org/10.1016/0048-9697(91)90081-o.

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4

Zorlu, Yusuf, and Fulya ZORLU. "Investigation of Prospective Science Teachers’ Understandings on Ergastic Substances with the Semantic Mappings." International Journal of Psychology and Educational Studies 8, no. 1 (2021): 86–98. http://dx.doi.org/10.17220/ijpes.2021.8.1.199.

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The aim of this study was investigated of prospective science teachers’ understandings on ergastic substances with the semantic mappings. This study was phenomenological research method. 38 prospective science teachers in the science teaching department of a public university participated in the research. The prospective science teachers were asked to prepare the semantic mappings about Ergastic Substances. In this study, student products are 36 semantic mappings prepared by the prospective science teachers. The semantic mappings were analyzed content analysis method. According to the findings

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5

McNeill, A., M. Suchomska, and A. Strathie. "Expert facial comparison evidence: Science versus pseudo science." Psychology and Law 5, no. 4 (2015): 127–40. http://dx.doi.org/10.17759/psylaw.2015050411.

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Confirming the identity of the accused is a critical component of many criminal trials. However, recent evidence suggests this process is highly error prone and leads to unacceptably high rates of wrongful conviction (Innocence Project, 2015). When photographic identification evidence is ambiguous, facial mapping practitioners may be called upon to make comparisons between images of the culprit and the accused. This practice assumes that the techniques employed are reliable and can be used to assist the court in making identity confirmation decisions. However, previous experimental work in thi

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6

Smaglik, Paul. "Mapping life-science skills." Nature 427, no. 6973 (2004): 469. http://dx.doi.org/10.1038/nj6973-469a.

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7

Dalton, Craig M., and Tim Stallmann. "Counter-mapping data science." Canadian Geographer / Le Géographe canadien 62, no. 1 (2017): 93–101. http://dx.doi.org/10.1111/cag.12398.

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8

Zins, Chaim, Anthony Debons, Clare Beghtol, et al. "Knowledge map of Information Science." Brazilian Journal of Information Science 1, no. 1 (2007): 3–32. http://dx.doi.org/10.36311/1981-1640.2007.v1n1.02.p3.

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This collective paper incorporates eleven position papers on implications of the "Knowledge Map of Information Science,” a Critical Delphi study conducted in 2003-2005 and published as a series of four articles (ZINS, 2007 a, b, c, d). The Delphi study captured the deliberations of 57 leading information science scholars from 16 countries to provide (1) definitions of the fundamental concepts of data, information knowledge and message, (2) alternative conceptions of the broad information science domain, (3) different classificatory mappings of the field, and (4) comprehensive mappings of infor

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9

Riddihough, G. "Mapping Supercoils." Science 339, no. 6124 (2013): 1127. http://dx.doi.org/10.1126/science.339.6124.1127-c.

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10

Osborne, I. S. "Mapping Microwaves." Science 329, no. 5995 (2010): 997. http://dx.doi.org/10.1126/science.329.5995.997-c.

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11

Sugden, A. M. "Mapping Life's History." Science 324, no. 5933 (2009): 1366. http://dx.doi.org/10.1126/science.324_1366a.

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12

Harlan, R. "Standardized brain mapping." Science 254, no. 5030 (1991): 360. http://dx.doi.org/10.1126/science.1925588.

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13

GELLER, M. J., and J. P. HUCHRA. "Mapping the Universe." Science 246, no. 4932 (1989): 897–903. http://dx.doi.org/10.1126/science.246.4932.897.

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14

Leonhardt, U. "Optical Conformal Mapping." Science 312, no. 5781 (2006): 1777–80. http://dx.doi.org/10.1126/science.1126493.

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15

Todd, Ross J., and Joyce Kirk. "Concept mapping in information science." Education for Information 13, no. 4 (1995): 333–47. http://dx.doi.org/10.3233/efi-1995-13402.

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16

Camphire, Geoff. "Mapping Earth Science Week 2013." Eos, Transactions American Geophysical Union 94, no. 38 (2013): 331. http://dx.doi.org/10.1002/2013eo380002.

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17

Hines, P. J. "PLANT SCIENCE: Mapping Out Diversity." Science 322, no. 5908 (2008): 1610b. http://dx.doi.org/10.1126/science.322.5908.1610b.

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18

Perkowitz, Sidney. "Mapping the language of science." Physics World 24, no. 10 (2011): 72. http://dx.doi.org/10.1088/2058-7058/24/10/44.

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19

Small, Henry. "Visualizing science by citation mapping." Journal of the American Society for Information Science 50, no. 9 (1999): 799–813. http://dx.doi.org/10.1002/(sici)1097-4571(1999)50:9<799::aid-asi9>3.0.co;2-g.

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20

Glerup, Cecilie, and Maja Horst. "Mapping ‘social responsibility’ in science." Journal of Responsible Innovation 1, no. 1 (2014): 31–50. http://dx.doi.org/10.1080/23299460.2014.882077.

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21

Vieira, Francisco, and Carlos Brito. "Science mapping in industrial marketing." Journal of Business & Industrial Marketing 30, no. 1 (2015): 105–15. http://dx.doi.org/10.1108/jbim-02-2014-0027.

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Purpose – This study aims to map scientific knowledge in industrial marketing. Design/methodology/approach – The research was conducted on the basis of a quantitative and descriptive research using scientometric analysis based on scientific records. It analyzes more than 14,000 scientific records on the Scopus database from 1956 to 2009. The sample fits Bradford’s and Lotka’s power laws of distribution of science in use. Findings – The study reveals the existence of four stages: the genesis of this stream of research (1956-1984), the early development (1985-1995), the consolidation of producti

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22

Boyack, Kevin W., Richard Klavans, and Katy Börner. "Mapping the backbone of science." Scientometrics 64, no. 3 (2005): 351–74. http://dx.doi.org/10.1007/s11192-005-0255-6.

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23

Zuo, Renguang, and Yihui Xiong. "Geodata science and geochemical mapping." Journal of Geochemical Exploration 209 (February 2020): 106431. http://dx.doi.org/10.1016/j.gexplo.2019.106431.

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24

Kantere, Verena, Dimos Bousounis, and Timos Sellis. "Mapping Discovery Over Revealing Schemas." International Journal of Cooperative Information Systems 24, no. 04 (2015): 1550006. http://dx.doi.org/10.1142/s0218843015500069.

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In a world of wide-scale information sharing, data are described in different formats, i.e. data structures, values and schemas. Querying such sources entails techniques that can bridge the data formats. Some existing techniques deal with schema mapping and view complementary aspects of the problem. Important ones, consider producing all the possible mappings for a pair of schemas, insinuating accompanying semantics in the mappings and adapting correct mappings as schemas evolve. In this work, we consider the problem of discovering mappings as schemas of autonomous sources are gradually reveal

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25

Ash, C. "VIROLOGY: Mapping Virus History." Science 300, no. 5616 (2003): 19d—19. http://dx.doi.org/10.1126/science.300.5616.19d.

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26

Holm, L., and C. Sander. "Mapping the Protein Universe." Science 273, no. 5275 (1996): 595–602. http://dx.doi.org/10.1126/science.273.5275.595.

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27

Baskin, Y. "Mapping the cell's nucleus." Science 268, no. 5217 (1995): 1564–65. http://dx.doi.org/10.1126/science.7777854.

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28

Shilatifard, A. "Mapping Alzheimer's disease." Science 353, no. 6300 (2016): 660–62. http://dx.doi.org/10.1126/science.353.6300.660-p.

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29

Vinson, Valda. "Mapping the proteome." Science 356, no. 6340 (2017): 816.11–818. http://dx.doi.org/10.1126/science.356.6340.816-k.

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30

Permatadewi, Safira, Djunaidah Zen Zen, and Maefa Eka Haryani. "Prior Knowledge Mapping on Natural Science." Journal of Biology Education 8, no. 1 (2019): 117–25. http://dx.doi.org/10.15294/jbe.v8i1.27304.

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This study aims to map the Prior Knowledge that is owned by prospective students of Natural Sciences TeacherTraining Faculty Unsri. The sample in this study were prospective science teachers who are students from theChemistry Education Study Program Unsri FKIP (n = 71). The instrument used in this study was a multiple choicequestion in the form of a three-tier test. Questions are developed based on learning objectives and the results of previousresearch studies on similar topics. The results of this study indicate that there is a tendency for FKIP Unsri IPAprospective students to still have mi

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31

Siems, Mathias M., and Daithí Mac Síthigh. "MAPPING LEGAL RESEARCH." Cambridge Law Journal 71, no. 3 (2012): 651–76. http://dx.doi.org/10.1017/s0008197312000852.

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This article aims to map the position of academic legal research, using a distinction between “law as a practical discipline”, “law as humanities” and “law as social sciences” as a conceptual framework. Having explained this framework, we address both the “macro” and “micro” level of legal research in the UK. For this purpose, we have collected information on the position of all law schools within the structure of their respective universities. We also introduce “ternary plots” as a new way of explaining individual research preferences. Our general result is that all three categories play a ro

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32

Tijssen, Robert J. W., and Anthony F. J. Van Raan. "Mapping Changes in Science and Technology." Evaluation Review 18, no. 1 (1994): 98–115. http://dx.doi.org/10.1177/0193841x9401800110.

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33

Sangam, S. L., and Shivaranjini S. Mogali. "Mapping of Indian Social Science Literature." Collnet Journal of Scientometrics and Information Management 8, no. 1 (2014): 61–80. http://dx.doi.org/10.1080/09737766.2014.916861.

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34

Leydesdorff, Loet, and Jin Bihui. "Mapping the Chinese Science Citation Database." Proceedings of the American Society for Information Science and Technology 41, no. 1 (2005): 488–95. http://dx.doi.org/10.1002/meet.1450410157.

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35

Willson, Mike, David Williams, and Peter Adamczyk. "Evaluating Science INSET through Concept Mapping." British Journal of In-Service Education 20, no. 1 (1994): 121–30. http://dx.doi.org/10.1080/0305763940200112.

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36

Noyons, E. C. M., and A. F. J. Van Raan. "Advanced mapping of science and technology." Scientometrics 41, no. 1-2 (1998): 61–67. http://dx.doi.org/10.1007/bf02457967.

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37

Soós, Sándor. "The functional anatomy of science mapping." Scientometrics 89, no. 2 (2011): 723–26. http://dx.doi.org/10.1007/s11192-011-0480-0.

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38

Janssens, Frizo, Jacqueline Leta, Wolfgang Glänzel, and Bart De Moor. "Towards mapping library and information science." Information Processing & Management 42, no. 6 (2006): 1614–42. http://dx.doi.org/10.1016/j.ipm.2006.03.025.

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39

Janssens, Frizo, Wolfgang Glänzel, and Bart De Moor. "A hybrid mapping of information science." Scientometrics 75, no. 3 (2008): 607–31. http://dx.doi.org/10.1007/s11192-007-2002-7.

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40

Kilicoglu, Ozge, and Hakan Mehmetcik. "Science mapping for radiation shielding research." Radiation Physics and Chemistry 189 (December 2021): 109721. http://dx.doi.org/10.1016/j.radphyschem.2021.109721.

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41

Tresch, J. "HISTORY OF SCIENCE: Mapping the Roads to Current Science." Science 309, no. 5744 (2005): 2167–68. http://dx.doi.org/10.1126/science.1118059.

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42

Rull, Guillem, Carles Farré, Ernest Teniente, and Toni Urpí. "Validation of schema mappings with nested queries." Computer Science and Information Systems 10, no. 1 (2013): 79–104. http://dx.doi.org/10.2298/csis120713042r.

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With the emergence of the Web and the wide use of XML for representing data, the ability to map not only flat relational but also nested data has become crucial. The design of schema mappings is a semi-automatic process. A human designer is needed to guide the process, choose among mapping candidates, and successively refine the mapping. The designer needs a way to figure out whether the mapping is what was intended. Our approach to mapping validation allows the designer to check whether the mapping satisfies certain desirable properties. In this paper, we focus on the validation of mappings b

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43

Barry, C., and C. F. Doeller. "3D Mapping in the Brain." Science 340, no. 6130 (2013): 279–80. http://dx.doi.org/10.1126/science.1237569.

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44

Peters, R. "STRUCTURAL BIOLOGY:Difference Mapping Cryo-EM." Science 283, no. 5405 (1999): 1133a—1133. http://dx.doi.org/10.1126/science.283.5405.1133a.

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45

King, M. C. "HUMAN GENETICS: Mapping Human History." Science 298, no. 5602 (2002): 2342–43. http://dx.doi.org/10.1126/science.1080373.

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46

Dorozynski, A. "Gene Mapping the Industrial Way." Science 256, no. 5056 (1992): 463. http://dx.doi.org/10.1126/science.256.5056.463.

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47

Culliton, B. "Mapping terra incognita (humani corporis)." Science 250, no. 4978 (1990): 210–12. http://dx.doi.org/10.1126/science.2218525.

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48

DAVIS, J. C. "Contour Mapping and SURFACE II." Science 237, no. 4815 (1987): 669–72. http://dx.doi.org/10.1126/science.237.4815.669.

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49

NAROD, B. B. "Mapping of Glacier Ice: Radioglaciology." Science 232, no. 4754 (1986): 1153. http://dx.doi.org/10.1126/science.232.4754.1153.

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50

McDonough, W. F. "GEOPHYSICS: Mapping the Earth's Engine." Science 317, no. 5842 (2007): 1177–78. http://dx.doi.org/10.1126/science.1144405.

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