Gerasimos Spanakis

830 citations
46 papers · 327 · h-index 11

Impact in

Papers in

Gerasimos Spanakis

40 papers receiving 309 citations

Peers

Gerasimos Spanakis
Comparison fields: 5 of 77
  • Applied Psychology 22
  • Artificial Intelligence 154
  • Computer Science Applications 17
  • Information Systems 50
  • Computer Graphics and Computer-Aided Design 7
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Citations per field
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Citations per year

Countries citing papers authored by Gerasimos Spanakis

Since Specialization
Citations

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

Fields of papers citing papers by Gerasimos Spanakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202434
2 201626
3 201722
4 201621
5 201720
6 201820
7 201919
8 201119
9 201916
10 202016
11 202112
12 202210
13 20248
14 20198
15 20237
16 20167
17
Return of the AI: An analysis of legal research on Artificial Intelligence using topic modeling
20206
18 20226
19 20206
20 20095

About Gerasimos Spanakis

Gerasimos Spanakis is a scholar working on Artificial Intelligence, Political Science and International Relations, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 327 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers), Hate Speech and Cyberbullying Detection (5 papers), Artificial Intelligence in Law (5 papers), Mental Health Research Topics (5 papers), Text and Document Classification Technologies (4 papers), Behavioral Health and Interventions (3 papers) and Computational and Text Analysis Methods (3 papers). The work is most often cited by research in Applied Psychology (22 citations), Artificial Intelligence (154 citations), Computer Science Applications (17 citations), Information Systems (50 citations) and Computer Graphics and Computer-Aided Design (7 citations). Gerasimos Spanakis has collaborated with scholars based in Netherlands, Greece and United Kingdom. Frequent co-authors include Gijs van Dijck, Anne Roefs, Lotte H.J.M. Lemmens, Gerhard Weiß, Anita Jansen, Chantal Nederkoorn, Andreas Stafylopatis, Georgios Siolas, Danni Liu and Jan Niehues. Their work appears in journals such as Ethics and Information Technology, Journal of Human Nutrition and Dietetics, Journal of Intelligent Information Systems, Trials and Personal and Ubiquitous Computing.

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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