David Günther

48 total papers · 764 total citations
17 papers, 443 citations indexed

About

David Günther is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, David Günther has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Biophysics. Recurrent topics in David Günther's work include Topological and Geometric Data Analysis (8 papers), Cell Image Analysis Techniques (3 papers) and Computer Graphics and Visualization Techniques (3 papers). David Günther is often cited by papers focused on Topological and Geometric Data Analysis (8 papers), Cell Image Analysis Techniques (3 papers) and Computer Graphics and Visualization Techniques (3 papers). David Günther collaborates with scholars based in Germany, United States and Switzerland. David Günther's co-authors include Tino Weinkauf, Jan Reininghaus, Hans‐Christian Hege, Britta Weber, Alexander Rigort, Ohad Medalia, Daniel Baum, R. Hegerl, Steffen Prohaska and Wolfgang Baumeister and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Numerical Analysis and Physica D Nonlinear Phenomena.

In The Last Decade

David Günther

16 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
David Günther	159	146	100	67	66	17	443
Saurav Basu	26 0.2×	146 1.0×	90 0.9×	6 0.1×	42 0.6×	19	439
Virginie Uhlmann	15 0.1×	133 0.9×	153 1.5×	9 0.1×	92 1.4×	37	393
Július Parulek	35 0.2×	264 1.8×	99 1.0×	2 0.0×	185 2.8×	26	468
Jan Reininghaus	312 2.0×	161 1.1×	99 1.0×		33 0.5×	15	433
Xiuyuan Cheng	26 0.2×	43 0.3×	15 0.1×	8 0.1×	72 1.1×	42	406
L. Norton–Wayne	17 0.1×	101 0.7×	18 0.2×	67 1.0×	17 0.3×	29	411
Paweł Pilarczyk	167 1.1×	88 0.6×	18 0.2×		33 0.5×	26	425
Ilia V. Safonov	6 0.0×	157 1.1×	24 0.2×	6 0.1×	19 0.3×	55	453
Sebastian Grottel	20 0.1×	252 1.7×	46 0.5×	3 0.0×	63 1.0×	25	400
Manas Rachh	26 0.2×	42 0.3×	48 0.5×		175 2.7×	27	483

Countries citing papers authored by David Günther

Since Specialization

Citations

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

Fields of papers citing papers by David Günther

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Günther

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