Prokopis Prokopidis

58 total papers · 445 total citations
23 papers, 218 citations indexed

About

Prokopis Prokopidis is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Prokopis Prokopidis has authored 23 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Language and Linguistics. Recurrent topics in Prokopis Prokopidis's work include Natural Language Processing Techniques (18 papers), Topic Modeling (15 papers) and Text Readability and Simplification (4 papers). Prokopis Prokopidis is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (15 papers) and Text Readability and Simplification (4 papers). Prokopis Prokopidis collaborates with scholars based in Ireland, Greece and Croatia. Prokopis Prokopidis's co-authors include Stelios Piperidis, Vassilis Papavassiliou, Haris Papageorgiou, Antonio Toral, Pavel Pecina, Harris Papageorgiou, Maria Koutsombogera, Andy Way, Josef van Genabith and Walter Daelemans and has published in prestigious journals such as Language Resources and Evaluation, Meeting of the Association for Computational Linguistics and Repositori digital de la UPF (Universitat Pompeu Fabra).

In The Last Decade

Prokopis Prokopidis

20 papers receiving 159 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prokopis Prokopidis 196 35 32 17 12 23 218
E.F. Tjong Kim Sang 237 1.2× 33 0.9× 35 1.1× 20 1.2× 10 0.8× 23 297
Keith Suderman 244 1.2× 33 0.9× 38 1.2× 14 0.8× 13 1.1× 23 273
Imad Zeroual 167 0.9× 41 1.2× 10 0.3× 8 0.5× 9 0.8× 29 216
Harald Trost 223 1.1× 21 0.6× 31 1.0× 16 0.9× 6 0.5× 40 260
Kilian A. Foth 251 1.3× 10 0.3× 24 0.8× 16 0.9× 19 1.6× 26 308
Judith Markowitz 165 0.8× 39 1.1× 58 1.8× 19 1.1× 28 2.3× 19 260
Konstantinos Koumpis 203 1.0× 16 0.5× 32 1.0× 24 1.4× 28 2.3× 14 309
Majdi Sawalha 198 1.0× 33 0.9× 28 0.9× 8 0.5× 9 0.8× 29 234
Susan Armstrong 203 1.0× 28 0.8× 17 0.5× 20 1.2× 5 0.4× 23 232
Mary S. Neff 223 1.1× 38 1.1× 57 1.8× 15 0.9× 5 0.4× 17 261

Countries citing papers authored by Prokopis Prokopidis

Since Specialization
Citations

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

Fields of papers citing papers by Prokopis Prokopidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prokopis Prokopidis

This figure shows the co-authorship network connecting the top 25 collaborators of Prokopis Prokopidis. A scholar is included among the top collaborators of Prokopis Prokopidis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prokopis Prokopidis. Prokopis Prokopidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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