Birgit Kirsch

891 total citations · 1 hit paper
3 papers, 519 citations indexed

About

Birgit Kirsch is a scholar working on Artificial Intelligence, Communication and Statistical and Nonlinear Physics. According to data from OpenAlex, Birgit Kirsch has authored 3 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Birgit Kirsch's work include Geographic Information Systems Studies (1 paper), Neural Networks and Applications (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Birgit Kirsch is often cited by papers focused on Geographic Information Systems Studies (1 paper), Neural Networks and Applications (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Birgit Kirsch collaborates with scholars based in Germany, Austria and Italy. Birgit Kirsch's co-authors include Sven Giesselbach, Sebastian Mayer, Katharina Beckh, Rajkumar Ramamurthy, Raoul Heese, Michał Walczak, Jannis Schuecker, Laura von Rueden, Julius Pfrommer and Bogdan Georgiev and has published in prestigious journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

In The Last Decade

Birgit Kirsch

3 papers receiving 498 citations

Hit Papers

Informed Machine Learning - A Taxonomy and Survey of Inte... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birgit Kirsch Germany 2 183 68 56 50 49 3 519
Bogdan Georgiev Germany 2 186 1.0× 69 1.0× 58 1.0× 50 1.0× 46 0.9× 8 483
Laura von Rueden Germany 3 187 1.0× 70 1.0× 57 1.0× 51 1.0× 45 0.9× 5 485
Katharina Beckh Germany 4 188 1.0× 70 1.0× 56 1.0× 51 1.0× 44 0.9× 8 493
Rajkumar Ramamurthy Germany 5 231 1.3× 68 1.0× 57 1.0× 50 1.0× 44 0.9× 13 537
Sven Giesselbach Germany 5 201 1.1× 70 1.0× 57 1.0× 55 1.1× 46 0.9× 10 544
Jannis Schuecker Germany 5 189 1.0× 69 1.0× 80 1.4× 50 1.0× 75 1.5× 7 548
Raoul Heese Germany 7 239 1.3× 94 1.4× 63 1.1× 57 1.1× 49 1.0× 20 589
Bastian Bohn Germany 5 255 1.4× 38 0.6× 41 0.7× 54 1.1× 33 0.7× 8 683
Anna Kruspe Germany 10 299 1.6× 72 1.1× 44 0.8× 26 0.5× 29 0.6× 27 694
Yuchen Wu China 5 199 1.1× 46 0.7× 82 1.5× 86 1.7× 19 0.4× 12 664

Countries citing papers authored by Birgit Kirsch

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Kirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgit Kirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Birgit Kirsch. A scholar is included among the top collaborators of Birgit Kirsch 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 Birgit Kirsch. Birgit Kirsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Kirsch, Birgit, et al.. (2022). Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 76–87. 1 indexed citations
2.
Rueden, Laura von, Sebastian Mayer, Katharina Beckh, et al.. (2021). Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Transactions on Knowledge and Data Engineering. 1–1. 469 indexed citations breakdown →
3.
Havas, Clemens, Bernd Resch, Chiara Francalanci, et al.. (2017). E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. Sensors. 17(12). 2766–2766. 49 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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