Petra Selmer

18 total papers · 908 total citations
12 papers, 372 citations indexed

About

Petra Selmer is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Petra Selmer has authored 12 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Petra Selmer's work include Advanced Database Systems and Queries (10 papers), Graph Theory and Algorithms (9 papers) and Data Management and Algorithms (5 papers). Petra Selmer is often cited by papers focused on Advanced Database Systems and Queries (10 papers), Graph Theory and Algorithms (9 papers) and Data Management and Algorithms (5 papers). Petra Selmer collaborates with scholars based in United Kingdom, France and United States. Petra Selmer's co-authors include Tobias Lindaaker, Alastair Green, Stefan Plantikow, Victor Marsault, Leonid Libkin, Paolo Guagliardo, Nadime Francis, Peter T. Wood, Alexandra Poulovassilis and Roman Kontchakov and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Web Semantics and IEEE Transactions on Learning Technologies.

In The Last Decade

Petra Selmer

12 papers receiving 357 citations

Hit Papers

Cypher 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Petra Selmer 196 158 152 90 80 12 372
Stefan Plantikow 188 1.0× 194 1.2× 198 1.3× 108 1.2× 78 1.0× 9 401
Tobias Lindaaker 186 0.9× 187 1.2× 202 1.3× 112 1.2× 72 0.9× 7 394
Paolo Guagliardo 237 1.2× 192 1.2× 119 0.8× 107 1.2× 69 0.9× 25 402
Martín Ugarte 158 0.8× 218 1.4× 57 0.4× 96 1.1× 145 1.8× 21 437
Arnau Prat-Pèrez 187 1.0× 168 1.1× 192 1.3× 52 0.6× 97 1.2× 15 389
Nan C. Shu 128 0.7× 176 1.1× 64 0.4× 71 0.8× 109 1.4× 15 389
Jyh-Herng Chow 186 0.9× 102 0.6× 65 0.4× 39 0.4× 119 1.5× 14 410
Astrid Rheinländer 133 0.7× 277 1.8× 89 0.6× 66 0.7× 260 3.3× 11 444
Robert Meusel 266 1.4× 102 0.6× 92 0.6× 67 0.7× 179 2.2× 18 439
Douglas Burdick 169 0.9× 96 0.6× 80 0.5× 51 0.6× 133 1.7× 19 341

Countries citing papers authored by Petra Selmer

Since Specialization
Citations

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

Fields of papers citing papers by Petra Selmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Selmer

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