Gesina Schwalbe

470 total citations · 1 hit paper
5 papers, 153 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 153 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 Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers) and Natural Language Processing Techniques (1 paper). Gesina Schwalbe is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers) and Natural Language Processing Techniques (1 paper). Gesina Schwalbe collaborates with scholars based in Germany. Gesina Schwalbe's co-authors include Bettina Finzel, Alois Knoll, Robin Chan, Fatma Güney, Hanno Gottschalk 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 150 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

2023 138 citations Gesina Schwalbe, Bettina Finzel Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gesina Schwalbe Germany	4	116	21	20	15	11	5	153
Bettina Finzel Germany	6	189 1.6×	25 1.2×	49 2.5×	25 1.7×	27 2.5×	14	266
Leila Arras Germany	5	178 1.5×	13 0.6×	23 1.1×	38 2.5×	9 0.8×	5	250
Jan Trienes Germany	4	190 1.6×	18 0.9×	44 2.2×	21 1.4×	23 2.1×	6	250
Prashan Madumal Australia	4	155 1.3×	22 1.0×	14 0.7×	16 1.1×	13 1.2×	7	186
Eoin M. Kenny Ireland	5	222 1.9×	31 1.5×	36 1.8×	33 2.2×	20 1.8×	10	266
Yihuai Lan China	3	134 1.2×	6 0.3×	13 0.7×	38 2.5×	5 0.5×	3	208
Theodore Patkos Greece	6	98 0.8×	5 0.2×	13 0.7×	17 1.1×	12 1.1×	23	135
Daniel Rothchild United States	2	51 0.4×	16 0.8×	7 0.3×	10 0.7×	8 0.7×	3	167
Amelia Glaese United States	4	100 0.9×	22 1.0×	17 0.8×	15 1.0×	2 0.2×	6	145
Frode Sørmo Norway	7	122 1.1×	15 0.7×	6 0.3×	12 0.8×	15 1.4×	11	197

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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5 of 5 papers shown

1.

Schwalbe, Gesina, et al.. (2024). Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study. 3542–3552. 1 indexed citations

2.

Chan, Robin, et al.. (2024). Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. 7381–7391. 3 indexed citations

3.

Schwalbe, Gesina & Bettina Finzel. (2023). A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts. Data Mining and Knowledge Discovery. 38(5). 3043–3101. 138 indexed citations breakdown →

4.

Schwalbe, Gesina, et al.. (2023). Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models. 3891–3900. 4 indexed citations

5.

Schwalbe, Gesina. (2022). Concept Embedding Analysis: A Review. arXiv (Cornell University). 7 indexed citations

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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