Alexander Kirillov

6.5k total citations · 3 hit papers
22 papers, 2.6k citations indexed

About

Alexander Kirillov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Alexander Kirillov has authored 22 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Geometry and Topology. Recurrent topics in Alexander Kirillov's work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Algebraic structures and combinatorial models (5 papers). Alexander Kirillov is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Algebraic structures and combinatorial models (5 papers). Alexander Kirillov collaborates with scholars based in United States, Germany and Israel. Alexander Kirillov's co-authors include Ross Girshick, Piotr Dollár, Kaiming He, Laura Leal-Taixé, Tim Meinhardt, Christoph Feichtenhofer, Bowen Cheng, Carsten Rother, Pavel Etingof and Bogdan Savchynskyy and has published in prestigious journals such as IEEE Signal Processing Magazine, Bulletin of the American Mathematical Society and Journal of the American Mathematical Society.

In The Last Decade

Alexander Kirillov

21 papers receiving 2.5k citations

Hit Papers

Panoptic Feature Pyramid Networks 2019 2026 2021 2023 2019 2022 2021 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Panoptic Feature Pyramid Networks
    2019 873 citations Alexander Kirillov, Ross Girshick et al. profile →
  2. TrackFormer: Multi-Object Tracking with Transformers
    2022 524 citations Tim Meinhardt, Alexander Kirillov et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  3. Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
    2021 220 citations Bowen Cheng, Ross Girshick et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Kirillov United States 15 1.7k 664 330 238 237 22 2.6k
Max Mignotte Canada 29 1.4k 0.8× 521 0.8× 193 0.6× 224 0.9× 1.1k 4.6× 147 3.1k
Jayant Shah United States 12 2.7k 1.6× 311 0.5× 158 0.5× 215 0.9× 488 2.1× 30 3.8k
Eduardo Bayro–Corrochano Mexico 20 650 0.4× 209 0.3× 173 0.5× 96 0.4× 176 0.7× 164 1.5k
Nira Dyn Israel 32 959 0.6× 167 0.3× 41 0.1× 71 0.3× 65 0.3× 137 4.4k
Leo Dorst Netherlands 20 615 0.4× 121 0.2× 163 0.5× 134 0.6× 42 0.2× 65 1.3k
Jian–Jiun Ding Taiwan 26 2.2k 1.3× 214 0.3× 154 0.5× 17 0.1× 372 1.6× 208 3.2k
H.J.A.M. Heijmans Netherlands 27 2.3k 1.3× 216 0.3× 222 0.7× 53 0.2× 1.0k 4.3× 103 3.5k
David Cohen‐Steiner France 26 1.2k 0.7× 107 0.2× 136 0.4× 122 0.5× 16 0.1× 58 4.1k
Jean‐Daniel Boissonnat France 32 1.5k 0.9× 194 0.3× 552 1.7× 43 0.2× 24 0.1× 120 3.9k
Joseph L. Mundy United States 25 2.0k 1.2× 177 0.3× 752 2.3× 48 0.2× 291 1.2× 131 3.0k

Countries citing papers authored by Alexander Kirillov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Kirillov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Kirillov

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

All Works

20 of 20 papers shown
1.
Meinhardt, Tim, Alexander Kirillov, Laura Leal-Taixé, & Christoph Feichtenhofer. (2022). TrackFormer: Multi-Object Tracking with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8834–8844. 524 indexed citations breakdown →
2.
Cheng, Bowen, Omkar Parkhi, & Alexander Kirillov. (2022). Pointly-Supervised Instance Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2607–2616. 86 indexed citations
3.
Cheng, Bowen, Ross Girshick, Piotr Dollár, Alexander C. Berg, & Alexander Kirillov. (2021). Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. 15329–15337. 220 indexed citations breakdown →
4.
Kirillov, Alexander, Ross Girshick, Kaiming He, & Piotr Dollár. (2019). Panoptic Feature Pyramid Networks. 6392–6401. 873 indexed citations breakdown →
5.
Xie, Saining, Alexander Kirillov, Ross Girshick, & Kaiming He. (2019). Exploring Randomly Wired Neural Networks for Image Recognition. 1284–1293. 163 indexed citations
6.
Arnab, Anurag, Shuai Zheng, Sadeep Jayasumana, et al.. (2018). Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Processing Magazine. 35(1). 37–52. 81 indexed citations
7.
Kirillov, Alexander, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, & Carsten Rother. (2017). InstanceCut: From Edges to Instances with MultiCut. 7322–7331. 143 indexed citations
8.
Michel, Frank, Alexander Kirillov, Eric Brachmann, et al.. (2017). Global Hypothesis Generation for 6D Object Pose Estimation. 115–124. 67 indexed citations
9.
Levinkov, Evgeny, Jonas Uhrig, Siyu Tang, et al.. (2017). Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. 1904–1912. 58 indexed citations
10.
Kirillov, Alexander, Alexander Shekhovtsov, Carsten Rother, & Bogdan Savchynskyy. (2016). Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. neural information processing systems. 29. 334–342. 6 indexed citations
11.
Kirillov, Alexander, et al.. (2015). A Generic CNN-CRF Model for Semantic Segmentation. arXiv (Cornell University). 1 indexed citations
12.
Kirillov, Alexander, et al.. (2015). M-Best-Diverse labelings for submodular energies and beyond. 28. 613–621. 7 indexed citations
13.
Kirillov, Alexander, et al.. (2015). Inferring M-Best Diverse Labelings in a Single One. 24. 1814–1822. 15 indexed citations
14.
Kirillov, Alexander. (2012). On piecewise linear cell decompositions. Algebraic & Geometric Topology. 12(1). 95–108. 4 indexed citations
15.
Figurnov, Michael & Alexander Kirillov. (2012). Linear combination of random forests for the Relevance Prediction Challenge.
16.
Kirillov, Alexander. (2008). An Introduction to Lie Groups and Lie Algebras. Cambridge University Press eBooks. 82 indexed citations
17.
Etingof, Pavel, Igor Frenkel, & Alexander Kirillov. (1998). Lectures on Representation Theory and Knizhnik-Zamolodchikov Equations. Mathematical surveys and monographs. 134 indexed citations
18.
Etingof, Pavel & Alexander Kirillov. (1998). On Cherednik-Macdonald-Mehta identities. 4(7). 43–47. 14 indexed citations
19.
Kirillov, Alexander. (1997). Lectures on affine Hecke algebras and Macdonald’s conjectures. Bulletin of the American Mathematical Society. 34(3). 251–292. 37 indexed citations
20.
Frenkel, Igor, Alexander Kirillov, & Alexander Varchenko. (1997). . International Mathematics Research Notices. 1997(16). 783–783. 2 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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