Rigas Arvanitis

82 papers receiving 518 citations

Peers

Rigas Arvanitis
Comparison fields: 5 of 94
  • Statistics, Probability and Uncertainty 140
  • Business and International Management 21
  • Management of Technology and Innovation 58
  • Strategy and Management 99
  • Political Science and International Relations 155
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Richard P. Suttmeier United States
Barend van der Meulen Netherlands
Christian Fons‐Rosen United States
Bruce L. R. Smith United States
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Citations per year

Countries citing papers authored by Rigas Arvanitis

Since Specialization
Citations

This map shows the geographic impact of Rigas Arvanitis'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 Rigas Arvanitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rigas Arvanitis more than expected).

Fields of papers citing papers by Rigas Arvanitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rigas Arvanitis. 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 Rigas Arvanitis. The network helps show where Rigas Arvanitis may publish in the future.

Co-authors

The 25 scholars most cited alongside Rigas Arvanitis, 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 Rigas Arvanitis Line = papers co-authored together Rigas Arvanitis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200257
2 200045
3 201539
4 201436
5 198833
6 200833
7 201629
8 201723
9 199322
10 200817
11 201016
12 201515
13 199815
14 200012
15 200910
16 19899
17 19929
18 20129
19 20108
20 19968

About Rigas Arvanitis

Rigas Arvanitis is a scholar working on Statistics, Probability and Uncertainty, Political Science and International Relations, Demography, Management of Technology and Innovation and Strategy and Management, having authored 100 papers that have together received 643 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (15 papers), Science, Technology, and Education in Latin America (15 papers), Higher Education Governance and Development (9 papers), Innovation and Knowledge Management (6 papers), University-Industry-Government Innovation Models (5 papers), Economic Zones and Regional Development (5 papers), China's Socioeconomic Reforms and Governance (5 papers) and Science and Science Education (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (140 citations), Business and International Management (21 citations), Management of Technology and Innovation (58 citations), Strategy and Management (99 citations) and Political Science and International Relations (155 citations). Rigas Arvanitis has collaborated with scholars based in France, Mexico and Lebanon. Frequent co-authors include Sārī Ḥanafī, Jacques Gaillard, Roland Waast, Hatem M’henni, Jane Margaret Russell, Nora Narvaez-Berthelemot, Walid Hadhri, Bruce A. B. Currie-Alder, NICHOLAS SPYRIDON VONORTAS and Hebe Vessuri. Their work appears in journals such as Scientometrics, Science Technology and Society, China Perspectives, Revue d anthropologie des connaissances and International Journal of Management and Enterprise Development.

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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