Themis Palpanas

308 total papers · 7.5k total citations
208 papers, 4.5k citations indexed

About

Themis Palpanas is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Themis Palpanas has authored 208 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Signal Processing, 113 papers in Artificial Intelligence and 75 papers in Computer Networks and Communications. Recurrent topics in Themis Palpanas's work include Time Series Analysis and Forecasting (87 papers), Data Management and Algorithms (76 papers) and Advanced Database Systems and Queries (56 papers). Themis Palpanas is often cited by papers focused on Time Series Analysis and Forecasting (87 papers), Data Management and Algorithms (76 papers) and Advanced Database Systems and Queries (56 papers). Themis Palpanas collaborates with scholars based in France, Italy and United States. Themis Palpanas's co-authors include George Papadakis, Mikalai Tsytsarau, Kostas Zoumpatianos, Paul Boniol, Michele Linardi, Eamonn Keogh, Yannis Velegrakis, John Paparrizos, Davide Mottin and Wolfgang Nejdl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.

In The Last Decade

Themis Palpanas

202 papers receiving 4.3k citations

Author Peers

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

Author Last Decade Papers Cites
Themis Palpanas 2.6k 2.3k 1.2k 987 790 208 4.5k
Ada Wai-Chee Fu 3.1k 1.2× 2.0k 0.8× 1.1k 0.9× 259 0.3× 899 1.1× 106 5.1k
Carson K. Leung 2.1k 0.8× 1.2k 0.5× 504 0.4× 362 0.4× 2.0k 2.5× 291 4.3k
Luis Gravano 3.4k 1.3× 2.5k 1.1× 2.6k 2.2× 872 0.9× 2.9k 3.6× 124 7.2k
Reynold Cheng 2.2k 0.8× 2.5k 1.1× 2.1k 1.8× 508 0.5× 1.2k 1.5× 185 5.9k
Nikos Mamoulis 2.9k 1.1× 3.4k 1.5× 2.1k 1.8× 433 0.4× 2.0k 2.5× 216 6.5k
Kyuseok Shim 4.0k 1.5× 1.9k 0.8× 1.7k 1.4× 246 0.2× 1.8k 2.3× 100 5.9k
Kai Zheng 2.2k 0.8× 1.5k 0.7× 1.8k 1.5× 476 0.5× 1.8k 2.3× 354 6.8k
Goce Trajcevski 1.9k 0.7× 2.2k 1.0× 705 0.6× 153 0.2× 536 0.7× 183 4.4k
Anthony K. H. Tung 1.7k 0.6× 2.3k 1.0× 1.6k 1.4× 207 0.2× 1.4k 1.8× 149 4.5k
Sharad Mehrotra 3.9k 1.5× 3.5k 1.5× 2.4k 2.0× 831 0.8× 2.1k 2.6× 253 10.1k

Countries citing papers authored by Themis Palpanas

Since Specialization
Citations

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

Fields of papers citing papers by Themis Palpanas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Themis Palpanas

This figure shows the co-authorship network connecting the top 25 collaborators of Themis Palpanas. A scholar is included among the top collaborators of Themis Palpanas 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 Themis Palpanas. Themis Palpanas 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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2026