Rigas Arvanitis

76 papers receiving 447 citations

Peers

Rigas Arvanitis
Comparison fields: 5 of 96
  • Statistics, Probability and Uncertainty 138
  • Business and International Management 16
  • Management of Technology and Innovation 41
  • Strategy and Management 84
  • History and Philosophy of Science 23
Replace Léa Velho with:
Léa Velho Brazil
Barend van der Meulen Netherlands
Richard P. Suttmeier United States
Aant Elzinga Sweden
Leonardo Silvio Vaccarezza Argentina
Russell R. Currie Canada
Jack Spaapen Netherlands
L. van Drooge Netherlands
Joshua L. Rosenbloom United States
Kenneth P. Ruscio 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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200251
2 200041
3 198834
4 200830
5 201529
6 201427
7 201622
8 199319
9 201717
10 200816
11 201015
12 199814
13 201513
14 200011
15 19929
16 19968
17
Redes de investigación e innovación: un breve recorrido conceptual
19968
18 19898
19 20066
20 20016

About Rigas Arvanitis

Rigas Arvanitis is a scholar working on Political Science and International Relations, Demography, Statistics, Probability and Uncertainty, Sociology and Political Science and Economics and Econometrics, having authored 88 papers that have together received 528 indexed citations. Recurring topics across this work include Science, Technology, and Education in Latin America (15 papers), scientometrics and bibliometrics research (15 papers), Higher Education Governance and Development (9 papers), Agriculture and Rural Development Research (4 papers), Economic Zones and Regional Development (4 papers), Innovation and Knowledge Management (4 papers), Science and Science Education (3 papers) and Economic Growth and Development (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (138 citations), Business and International Management (16 citations), Management of Technology and Innovation (41 citations), Strategy and Management (84 citations) and History and Philosophy of Science (23 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 M. Russell, N. Narváez-Berthelemot, Walid Hadhri, Hebe Vessuri, Nicholas S. Vonortas and J. M. Russell. Their work appears in journals such as Scientometrics, Science Technology and Society, China Perspectives, Revue d anthropologie des connaissances and Interciencia.

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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