Kleomenis Katevas

45 total papers · 995 total citations
19 papers, 428 citations indexed

About

Kleomenis Katevas is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Kleomenis Katevas has authored 19 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Science Applications and 3 papers in Computer Networks and Communications. Recurrent topics in Kleomenis Katevas's work include Privacy-Preserving Technologies in Data (8 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Cryptography and Data Security (4 papers). Kleomenis Katevas is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Cryptography and Data Security (4 papers). Kleomenis Katevas collaborates with scholars based in United Kingdom, Spain and Iran. Kleomenis Katevas's co-authors include Hamed Haddadi, Nicolas Kourtellis, Diego Perino, Eduard Marin, Fan Mo, Joan Serrà, Nuria Oliver, Aleksandar Matic, Martin Pielot and Laurissa Tokarchuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Frontiers in Psychology.

In The Last Decade

Kleomenis Katevas

18 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Kleomenis Katevas	225	74	71	65	55	19	428
Yubo Zhang	178 0.8×	60 0.8×	90 1.3×	37 0.6×	50 0.9×	23	454
Hafiz Syed Muhammad Bilal	135 0.6×	56 0.8×	66 0.9×	23 0.4×	78 1.4×	32	462
Claudia Roda	100 0.4×	37 0.5×	75 1.1×	67 1.0×	53 1.0×	29	426
Chonlameth Arpnikanondt	178 0.8×	38 0.5×	47 0.7×	153 2.4×	27 0.5×	27	450
Christian Meurisch	119 0.5×	94 1.3×	54 0.8×	24 0.4×	30 0.5×	38	411
Justin Huang	84 0.4×	92 1.2×	29 0.4×	21 0.3×	57 1.0×	16	367
Lorenz Cuno Klopfenstein	157 0.7×	26 0.4×	42 0.6×	20 0.3×	43 0.8×	27	372
Reinhard Oppermann	105 0.5×	101 1.4×	101 1.4×	54 0.8×	28 0.5×	27	494
Wolfgang Wahlster	213 0.9×	136 1.8×	45 0.6×	16 0.2×	24 0.4×	25	493
Sarah Mennicken	82 0.4×	154 2.1×	61 0.9×	36 0.6×	39 0.7×	22	467

Countries citing papers authored by Kleomenis Katevas

Since Specialization

Citations

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

Fields of papers citing papers by Kleomenis Katevas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kleomenis Katevas

This figure shows the co-authorship network connecting the top 25 collaborators of Kleomenis Katevas. A scholar is included among the top collaborators of Kleomenis Katevas 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 Kleomenis Katevas. Kleomenis Katevas 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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