Sándor Soós

29 papers receiving 341 citations

Peers

Sándor Soós
Comparison fields: 5 of 91
  • Statistics, Probability and Uncertainty 92
  • Information Systems and Management 36
  • Management of Technology and Innovation 25
  • Management Science and Operations Research 34
  • Communication 16
Replace Rafael Ball with:
Rafael Ball Germany
René van Horik Netherlands
Diego Chavarro United Kingdom
María Cláudia Cabrini Grácio Brazil
Antonio González-Molina Spain
Stefan Hornbostel Germany
François Van Schalkwyk South Africa
Rosa Scoble United Kingdom
Michael Menietti United States
Carlos García-Zorita Spain
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Citations per field
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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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017172
2 201848
3 202122
4 202119
5 201112
6 201211
7 201311
8 202110
9 20236
10 20136
11 20176
12 20105
13 20255
14 20224
15 20204
16 20243
17 20192
18 20212
19 20232
20 20162

About Sándor Soós

Sándor Soós is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science, Geography, Planning and Development, Public Health, Environmental and Occupational Health and Information Systems and Management, having authored 38 papers that have together received 362 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Hungarian Social, Economic and Educational Studies (6 papers), Research Data Management Practices (3 papers), Complex Network Analysis Techniques (3 papers), Doping in Sports (3 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Obesity, Physical Activity, Diet (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (92 citations), Information Systems and Management (36 citations), Management of Technology and Innovation (25 citations), Management Science and Operations Research (34 citations) and Communication (16 citations). Sándor Soós has collaborated with scholars based in Hungary, Germany and United Kingdom. Frequent co-authors include Anna Kiss, A. Schubert, George Kampis, Zoltán Lakner, Ágoston Temesi, Ramón Flecha, Claire Donovan, Lídia Puigvert, Marta Soler and Teresa Sordé. Their work appears in journals such as Scientometrics, Sustainability, Research Evaluation, Journal of the International Society of Sports Nutrition and Current Developments in Nutrition.

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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