Gesina Schwalbe

37 total papers · 458 total citations
5 papers, 146 citations indexed

About

Gesina Schwalbe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Gesina Schwalbe has authored 5 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Gesina Schwalbe's work include Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Surveillance and Tracking Methods (1 paper). Gesina Schwalbe is often cited by papers focused on Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Surveillance and Tracking Methods (1 paper). Gesina Schwalbe collaborates with scholars based in Germany. Gesina Schwalbe's co-authors include Bettina Finzel, Hanno Gottschalk, Robin Chan, Alois Knoll, Fatma Güney and Nadja Klein and has published in prestigious journals such as Data Mining and Knowledge Discovery and arXiv (Cornell University).

In The Last Decade

Gesina Schwalbe

5 papers receiving 142 citations

Hit Papers

A comprehensive taxonomy ... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Gesina Schwalbe 109 20 20 15 10 5 146
Leila Arras 175 1.6× 23 1.1× 13 0.7× 38 2.5× 8 0.8× 5 246
Elisa Nguyen 161 1.5× 37 1.9× 16 0.8× 21 1.4× 23 2.3× 5 282
Jan Trienes 179 1.6× 41 2.0× 16 0.8× 21 1.4× 21 2.1× 6 237
Olivier Goudet 95 0.9× 24 1.2× 25 1.3× 19 1.3× 10 1.0× 9 171
David Schneeberger 123 1.1× 72 3.6× 35 1.8× 12 0.8× 15 1.5× 5 223
Bernd Malle 164 1.5× 33 1.6× 13 0.7× 39 2.6× 6 0.6× 4 264
Eoin M. Kenny 218 2.0× 36 1.8× 31 1.6× 32 2.1× 19 1.9× 10 262
Ilia Stepin 180 1.7× 32 1.6× 25 1.3× 13 0.9× 16 1.6× 6 212
Prashan Madumal 152 1.4× 13 0.7× 22 1.1× 16 1.1× 13 1.3× 7 183
Pablo Pedemonte 81 0.7× 20 1.0× 22 1.1× 11 0.7× 8 0.8× 7 105

Countries citing papers authored by Gesina Schwalbe

Since Specialization
Citations

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

Fields of papers citing papers by Gesina Schwalbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gesina Schwalbe

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