Dennis Eschweiler

38 total papers · 687 total citations
8 papers, 68 citations indexed

About

Dennis Eschweiler is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence. According to data from OpenAlex, Dennis Eschweiler has authored 8 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Biophysics and 2 papers in Artificial Intelligence. Recurrent topics in Dennis Eschweiler's work include Cell Image Analysis Techniques (3 papers), Medical Image Segmentation Techniques (2 papers) and Image Processing Techniques and Applications (2 papers). Dennis Eschweiler is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Medical Image Segmentation Techniques (2 papers) and Image Processing Techniques and Applications (2 papers). Dennis Eschweiler collaborates with scholars based in Germany, United Kingdom and Netherlands. Dennis Eschweiler's co-authors include Johannes Stegmaier, Michael Gadermayr, Richard S. Smith, Barbara M. Klinkhammer, Dorit Merhof, Peter Boor, Rijo Roy, Abin Jose, Reza Azad and Salwan Al‐Nasiry and has published in prestigious journals such as International Journal of Molecular Sciences, PLoS Computational Biology and Computers in Biology and Medicine.

In The Last Decade

Dennis Eschweiler

7 papers receiving 68 citations

Author Peers

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

Author						Papers	Cites
Dennis Eschweiler	27	21	19	19	9	8	68
Matthias Eisenmann	31 1.1×	14 0.7×	46 2.4×	8 0.4×	15 1.7×	7	88
Ali Emre Kavur	41 1.5×	34 1.6×	48 2.5×	8 0.4×	17 1.9×	8	108
Kaisa Liimatainen	60 2.2×	36 1.7×	26 1.4×	33 1.7×	7 0.8×	8	102
Sibo Liu	43 1.6×	35 1.7×	13 0.7×	9 0.5×	10 1.1×	9	111
Uday Kurkure	24 0.9×	11 0.5×	34 1.8×	8 0.4×	17 1.9×	6	69
Martin Hedlund	62 2.3×	38 1.8×	37 1.9×	6 0.3×	18 2.0×	12	92
Oscar Jiménez–del–Toro	53 2.0×	20 1.0×	63 3.3×	12 0.6×	33 3.7×	13	104
Frauke Wilm	43 1.6×	23 1.1×	23 1.2×	11 0.6×	2 0.2×	14	66
Erik A. Burlingame	25 0.9×	10 0.5×	13 0.7×	33 1.7×	5 0.6×	6	75
Abtin Riasatian	74 2.7×	23 1.1×	50 2.6×	17 0.9×	4 0.4×	7	102

Countries citing papers authored by Dennis Eschweiler

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Eschweiler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Eschweiler

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