Sándor Soós

29 papers receiving 325 citations

Peers

Sándor Soós
Comparison fields: 5 of 93
  • Statistics, Probability and Uncertainty 92
  • Information Systems and Management 34
  • Management of Technology and Innovation 25
  • Management Science and Operations Research 34
  • Communication 17
Replace Dirk Tunger with:
Dirk Tunger Germany
Rafael Ball Germany
René van Horik Netherlands
Diego Chavarro United Kingdom
François Van Schalkwyk South Africa
Carlos García-Zorita Spain
Stefan Hornbostel Germany
Dorothea Jansen Germany
Rosa Scoble United Kingdom
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Citations per year

Countries citing papers authored by Sándor Soós

Since Specialization
Citations

This map shows the geographic impact of Sándor Soós's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sándor Soós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sándor Soós more than expected).

Fields of papers citing papers by Sándor Soós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sándor Soós. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sándor Soós. The network helps show where Sándor Soós may publish in the future.

Co-authors

The 25 scholars most cited alongside Sándor Soós, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sándor Soós Line = papers co-authored together Sándor Soós links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2 201848
3 202121
4 202115
5 201112
6 201211
7 201311
8 202110
9 20176
10 20136
11 20255
12 20105
13 20235
14 20224
15 20204
16 20243
17 20162
18 20212
19 20192
20 20151

About Sándor Soós

Sándor Soós is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science, Public Health, Environmental and Occupational Health, Geography, Planning and Development and Information Systems, having authored 37 papers that have together received 348 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Hungarian Social, Economic and Educational Studies (5 papers), Complex Network Analysis Techniques (3 papers), Research Data Management Practices (3 papers), Doping in Sports (3 papers), Evaluation and Performance Assessment (2 papers), Diverse Approaches in Healthcare and Education Studies (2 papers) and Agriculture Sustainability and Environmental Impact (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (92 citations), Information Systems and Management (34 citations), Management of Technology and Innovation (25 citations), Management Science and Operations Research (34 citations) and Communication (17 citations). Sándor Soós has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include George Kampis, Anna Kiss, A. Schubert, Lídia Puigvert, Andrea Scharnhorst, Charles Larkin, Poul Holm, Esther Oliver, Ágoston Temesi and Claire Donovan. Their work appears in journals such as Scientometrics, Journal of the International Society of Sports Nutrition, Research Evaluation, Sustainability and Frontiers in Sports and Active Living.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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