Michal Geyer

8 total papers · 529 total citations
3 papers, 238 citations indexed

About

Michal Geyer is a scholar working on Computer Vision and Pattern Recognition, Literature and Literary Theory and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Michal Geyer has authored 3 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Literature and Literary Theory and 1 paper in Computer Graphics and Computer-Aided Design. Recurrent topics in Michal Geyer's work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Digital Humanities and Scholarship (1 paper). Michal Geyer is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Digital Humanities and Scholarship (1 paper). Michal Geyer collaborates with scholars based in Israel, United Kingdom and United States. Michal Geyer's co-authors include Tali Dekel, Shai Bagon, Narek Tumanyan, Yoni Kasten, Erika Lu, Forrester Cole and Jia‐Bin Huang and has published in prestigious journals such as .

In The Last Decade

Michal Geyer

2 papers receiving 230 citations

Hit Papers

Plug-and-Play Diffusion F... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Michal Geyer 198 55 31 22 20 3 238
Narek Tumanyan 244 1.2× 69 1.3× 37 1.2× 27 1.2× 31 1.6× 5 295
Tim Dockhorn 190 1.0× 42 0.8× 41 1.3× 27 1.2× 15 0.8× 2 247
Yanze Wu 191 1.0× 58 1.1× 51 1.6× 14 0.6× 22 1.1× 5 266
Gwanghyun Kim 221 1.1× 51 0.9× 59 1.9× 19 0.9× 30 1.5× 3 274
Hila Chefer 160 0.8× 47 0.9× 47 1.5× 19 0.9× 11 0.6× 4 211
Shanchuan Lin 216 1.1× 46 0.8× 75 2.4× 15 0.7× 55 2.8× 5 308
WILLIAM F. WHITNEY 238 1.2× 47 0.9× 78 2.5× 21 1.0× 46 2.3× 7 303
Nisha Huang 172 0.9× 57 1.0× 40 1.3× 26 1.2× 22 1.1× 8 217
Jing Yu Koh 253 1.3× 39 0.7× 83 2.7× 13 0.6× 15 0.8× 8 313
Minguk Kang 157 0.8× 24 0.4× 73 2.4× 15 0.7× 9 0.5× 7 237

Countries citing papers authored by Michal Geyer

Since Specialization
Citations

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

Fields of papers citing papers by Michal Geyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Geyer

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