Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing

Journal of the American Society for Information Science and Technology

Volumn 62, Issue 10, 2011, Pages 1954-1962

  Bornmann, Lutz ^a   Leydesdorff, Loet ^b  

^a MAX PLANCK INSTITUTE   (Germany)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CENTERS OF EXCELLENCE; CITED PAPERS; GOOGLE MAPS; HIGH OUTPUT; SAMPLE DATA; STATISTICAL SIGNIFICANCE; WEB OF SCIENCE; HIGHLY-CITED PAPERS;

USER INTERFACES; ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

PUBLISHING; MAPPING;

EID: 80052694715     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21611     Document Type: Review

References (25)

1. Billaut, J.C., Bouyssou, D., &, Vincke, P., (2010). Should you believe in the Shanghai ranking ? Scientometrics, 84 (1), 237-263.
2. Bornmann, L., &, Daniel, H.-D., (2008). What do citation counts measure? A review of studies on citing behavior. Journal of Documentation, 64 (1), 45-80.
3. Bornmann, L., Leydesdorff, L., Walch-Solimena, C., &, Ettl, C., (in press). How to map excellence in the sciences? A mapping approach made possible by using Scopus data. Journal of Informetrics.
4. Bornmann, L., Mutz, R., Marx, W., Schier, H., &, Daniel, H.-D., (2011). A multilevel modelling approach to investigating the predictive validity of editorial decisions: Do the editors of a high-profile journal select manuscripts that are highly cited after publication ? Journal of the Royal Statistical Society-Series A (Statistics in Society), 174 (4).
5. Bornmann, L., Schier, H., Marx, W., &, Daniel, H.-D., (2011). Is interactive open access publishing able to identify high-impact submissions? A study on the predictive validity of Atmospheric Chemistry and Physics by using percentile rank classes. Journal of the American Society for Information Science and Technology, 62 (1), 61-71.
6. Bornmann, L., &, Waltman, L., (in press). The detection of "hot regions" in the geography of science: A visualization approach by using density maps. Journal of Informetrics.
7. Buela-Casal, G., Gutiérrez-Martínez, O., Bermúdez-Sánchez, M., &, Vadillo-Muńoz, O., (2007). Comparative study of international academic rankings of universities. Scientometrics, 71 (3), 349-365.
8. Cardona, M., &, Marx, W., (2006). Vitaly L. Ginzburg-A bibliometric study. Journal of Superconductivity and Novel Magnetism, 19 (3-5), 459-466. (Pubitemid 46049793)
9. Costas, R., Bordons, M., van Leeuwen, T.N., &, van Raan, A.F.J., (2009). Scaling rules in the science system: Influence of field-specific citation characteristics on the impact of individual researchers. Journal of the American Society for Information Science and Technology, 60 (4), 740-753.
10. Dehon, C., McCathie, A., &, Verardi, V., (2010). Uncovering excellence in academic rankings: A closer look at the Shanghai ranking. Scientometrics, 83 (2), 515-524.
11. Frenken, K., Hardeman, S., &, Hoekman, J., (2009). Spatial scientometrics: Towards a cumulative research program. Journal of Informetrics, 3 (3), 222-232.
12. Glänzel, W., Thijs, B., Schubert, A., &, Debackere, K., (2009). Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance. Scientometrics, 78 (1), 165-188.
13. Jeremic, V., Bulajic, M., Martic, M., &, Radojicic, Z., (2011). A fresh approach to evaluating the academic ranking of world universities. Scientometrics, 87 (3), 587-596.
14. Lewison, G., Thornicroft, G., Szmukler, G., &, Tansella, M., (2007). Fair assessment of the merits of psychiatric research. British Journal of Psychiatry, 190, 314-318. (Pubitemid 46580680)
15. Leydesdorff, L., &, Persson, O., (2010). Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes. Journal of the American Society for Information Science and Technology, 61 (8), 1622-1634.
16. Leydesdorff, L., &, Rafols, I., (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology, 60 (2), 348-362.
17. Marx, W., (2011). Special features of historical papers from the viewpoint of bibliometrics. Journal of the American Society for Information Science and Technology, 62 (3), 433-439.
18. Matthiessen, C.W., Schwarz, A.W., &, Find, S., (2002). The top-level global research system, 1997-99: Centres, networks and nodality. An analysis based on bibliometric indicators. Urban Studies, 39 (5-6), 903-927. (Pubitemid 34514461)
19. Rafols, I., &, Leydesdorff, L., (2009). Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects. Journal of the American Society for Information Science and Technology, 60 (9), 1823-1835.
20. Seglen, P.O., &, Aksnes, D.W., (2000). Scientific productivity and group size: a bibliometric analysis of Norwegian microbiological research. Scientometrics, 49 (1), 125-143.
21. Sheskin, D., (2007). Handbook of parametric and nonparametric statistical procedures (4th ed.). Boca Raton, FL: Chapman & Hall/CRC.
22. Tijssen, R., &, van Leeuwen, T., (2006). Centres of research excellence and science indicators. Can 'excellence' be captured in numbers ? In, W. Glänzel, (Ed.), Ninth International Conference on Science and Technology Indicators (pp. 146-147). Leuven, Belgium: Katholieke Universiteit Leuven.
23. Tijssen, R., Visser, M., &, van Leeuwen, T., (2002). Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference ? Scientometrics, 54 (3), 381-397.
24. van Eck, N.J., &, Waltman, L., (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523-538.
25. Wagner, C.S., (2008). The new invisible college. Washington, DC: Brookings Press.