Kolmogorov

814 total citations
4 papers, 520 citations indexed

About

Kolmogorov is a scholar working on Computer Vision and Pattern Recognition, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Kolmogorov has authored 4 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in General Health Professions and 1 paper in Sociology and Political Science. Recurrent topics in Kolmogorov's work include Advanced Image and Video Retrieval Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and 3D Shape Modeling and Analysis (1 paper). Kolmogorov is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and 3D Shape Modeling and Analysis (1 paper). Kolmogorov collaborates with scholars based in United States and United Kingdom. Kolmogorov's co-authors include Ramin Zabih, Geoffrey Cross, Andrew Blake and Antonio Criminisi and has published in prestigious journals such as UCL Discovery (University College London).

In The Last Decade

Kolmogorov

4 papers receiving 487 citations

Peers

Kolmogorov

CVPR

CM

AE

CGCD

RNMI

Françoise Prêteux France

Liron Yatziv United States

P. Saint-Marc United States

David W. Paglieroni United States

Nils Papenberg Germany

Egil Bae Norway

Mona Mahmoudi United States

Luis Mazorra Spain

Ben Appleton Australia

Sébastien Speierer Switzerland

Françoise Prêteux France

Kolmogorov

343 ×0.8

CVPR

141 ×1.7

CM

35 ×0.5

AE

93 ×1.4

CGCD

74 ×1.2

RNMI

Citations per year, relative to Kolmogorov Kolmogorov (= 1×) peers Françoise Prêteux

Countries citing papers authored by Kolmogorov

Since Specialization

Citations

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

Fields of papers citing papers by Kolmogorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kolmogorov

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

All Works

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4 of 4 papers shown

1.

Kolmogorov, et al.. (2009). A global perspective on MAP inference for low-level vision. UCL Discovery (University College London). 2319–2326. 3 indexed citations

2.

Criminisi, Antonio, Geoffrey Cross, Andrew Blake, & Kolmogorov. (2006). Bilayer Segmentation of Live Video.. UCL Discovery (University College London). 3 indexed citations

3.

Kolmogorov, et al.. (2003). Visual correspondence using energy minimization and mutual information. 1033–1040 vol.2. 165 indexed citations

4.

Kolmogorov, et al.. (2003). Computing geodesics and minimal surfaces via graph cuts. 26–33 vol.1. 349 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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