Gregor Koehler

1.5k total citations
3 papers, 16 citations indexed

About

Gregor Koehler is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Gregor Koehler has authored 3 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Gregor Koehler's work include Biomedical Text Mining and Ontologies (1 paper), Machine Learning and Data Classification (1 paper) and Topic Modeling (1 paper). Gregor Koehler is often cited by papers focused on Biomedical Text Mining and Ontologies (1 paper), Machine Learning and Data Classification (1 paper) and Topic Modeling (1 paper). Gregor Koehler collaborates with scholars based in Germany and United States. Gregor Koehler's co-authors include Jens Kleesiek, Klaus Maier‐Hein, Peter M. Full, David Zimmerer, Constantin Ulrich, Frank Hutter, Simon Köhl, Paul F. Jaeger, Fabian Isensee and Tassilo Wald and has published in prestigious journals such as JMIR Medical Informatics and FreiDok plus (Universitätsbibliothek Freiburg).

In The Last Decade

Gregor Koehler

2 papers receiving 15 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregor Koehler Germany	2	9	4	3	2	2	3	16
Juraj Gottweis United States	2	8 0.9×	6 1.5×	2 0.7×			3	11
Vinija Jain United States	3	17 1.9×	2 0.5×	4 1.3×			11	28
Karen Hambardzumyan Armenia	3	15 1.7×	6 1.5×				3	15
L. Raczyński Poland	2	5 0.6×	4 1.0×				3	9
Emily Evangelista United States	3	9 1.0×	2 0.5×	1 0.3×	4 2.0×		7	15
Sibt ul Hussain Pakistan	3	9 1.0×	2 0.5×				3	11
Gurbandurdy Dovletov Germany	4	10 1.1×		2 0.7×	2 1.0×		5	18
Sahar Alkhairy United States	2	5 0.6×	12 3.0×	2 0.7×		1 0.5×	2	22
Elahe Kalbassi United States	2	6 0.7×	2 0.5×				4	8
Christophe Ropers Spain	2	6 0.7×	2 0.5×	1 0.3×			5	9

Countries citing papers authored by Gregor Koehler

Since Specialization

Citations

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

Fields of papers citing papers by Gregor Koehler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Koehler

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

All Works

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3 of 3 papers shown

1.

Hutter, Frank, et al.. (2024). Improving Deep Learning Optimization through Constrained Parameter Regularization. FreiDok plus (Universitätsbibliothek Freiburg). 8984–9025.

2.

Koehler, Gregor, Tassilo Wald, Constantin Ulrich, et al.. (2024). RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. FreiDok plus (Universitätsbibliothek Freiburg). 799–807. 1 indexed citations

3.

Koehler, Gregor, et al.. (2020). Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study. JMIR Medical Informatics. 9(2). e22795–e22795. 15 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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