Verena Kantere

185 total papers · 961 total citations
69 papers, 522 citations indexed

About

Verena Kantere is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Verena Kantere has authored 69 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 26 papers in Information Systems and 20 papers in Artificial Intelligence. Recurrent topics in Verena Kantere's work include Advanced Database Systems and Queries (23 papers), Cloud Computing and Resource Management (16 papers) and Data Management and Algorithms (15 papers). Verena Kantere is often cited by papers focused on Advanced Database Systems and Queries (23 papers), Cloud Computing and Resource Management (16 papers) and Data Management and Algorithms (15 papers). Verena Kantere collaborates with scholars based in Greece, Switzerland and United States. Verena Kantere's co-authors include Debabrata Dash, Anastasia Ailamaki, Timos Sellis, Grégory François, Dimitris Sacharidis, Nectarios Koziris, Dimitrios Tsoumakos, Ioannis Konstantinou, Alkis Simitsis and Dimitrios Skoutas and has published in prestigious journals such as Communications of the ACM, European Journal of Cancer and Pure and Applied Chemistry.

In The Last Decade

Verena Kantere

64 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Verena Kantere 326 271 133 123 54 69 522
Sangmi Lee Pallickara 344 1.1× 179 0.7× 139 1.0× 105 0.9× 107 2.0× 88 578
Ullas Nambiar 211 0.6× 199 0.7× 179 1.3× 253 2.1× 27 0.5× 38 465
Spyros Kotoulas 279 0.9× 203 0.7× 64 0.5× 317 2.6× 36 0.7× 62 516
Abdelkader Hameurlain 411 1.3× 261 1.0× 101 0.8× 130 1.1× 21 0.4× 121 585
Aris M. Ouksel 355 1.1× 112 0.4× 101 0.8× 190 1.5× 25 0.5× 46 554
Joanna Ng 217 0.7× 324 1.2× 39 0.3× 143 1.2× 34 0.6× 51 531
Aibo Song 360 1.1× 357 1.3× 50 0.4× 155 1.3× 36 0.7× 67 607
Zografoula Vagena 323 1.0× 188 0.7× 267 2.0× 269 2.2× 19 0.4× 33 613
Maurizio Talamo 213 0.7× 123 0.5× 63 0.5× 89 0.7× 15 0.3× 75 573
Sergej Sizov 92 0.3× 212 0.8× 89 0.7× 277 2.3× 47 0.9× 43 501

Countries citing papers authored by Verena Kantere

Since Specialization
Citations

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

Fields of papers citing papers by Verena Kantere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Kantere

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