Michael Figurnov

67.2k total citations
4 papers, 268 citations indexed

About

Michael Figurnov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Michael Figurnov has authored 4 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Michael Figurnov's work include Advanced Neural Network Applications (2 papers), Information Retrieval and Search Behavior (1 paper) and Advanced Text Analysis Techniques (1 paper). Michael Figurnov is often cited by papers focused on Advanced Neural Network Applications (2 papers), Information Retrieval and Search Behavior (1 paper) and Advanced Text Analysis Techniques (1 paper). Michael Figurnov collaborates with scholars based in United States and Russia. Michael Figurnov's co-authors include Dmitry Vetrov, Maxwell D. Collins, Jonathan Huang, Yukun Zhu, Li Zhang, Ruslan Salakhutdinov, Pushmeet Kohli, О. А. Иванов and Alexander Kirillov and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Michael Figurnov

3 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Figurnov United States	3	220	153	36	18	17	4	268
Yaohui Cai United States	4	162 0.7×	117 0.8×	37 1.0×	17 0.9×	16 0.9×	5	235
Yury Nahshan Israel	3	185 0.8×	127 0.8×	60 1.7×	17 0.9×	9 0.5×	3	235
Ruizhou Ding United States	8	159 0.7×	142 0.9×	49 1.4×	19 1.1×	7 0.4×	12	231
Elad Hoffer Israel	5	183 0.8×	152 1.0×	43 1.2×	9 0.5×	8 0.5×	10	256
Ting-Wu Chin United States	8	144 0.7×	121 0.8×	45 1.3×	41 2.3×	33 1.9×	13	226
Wenshuo Li China	7	129 0.6×	113 0.7×	114 3.2×	15 0.8×	9 0.5×	10	222
Chenqian Yan United Kingdom	4	309 1.4×	264 1.7×	27 0.8×	11 0.6×	6 0.4×	4	376
Qing Jin United States	9	158 0.7×	115 0.8×	151 4.2×	22 1.2×	22 1.3×	14	336
Sherry Moore United States	3	151 0.7×	193 1.3×	22 0.6×	24 1.3×	5 0.3×	3	262

Countries citing papers authored by Michael Figurnov

Since Specialization

Citations

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

Fields of papers citing papers by Michael Figurnov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Figurnov

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

Иванов, О. А., Michael Figurnov, & Dmitry Vetrov. (2019). Variational Autoencoder with Arbitrary Conditioning. International Conference on Learning Representations. 1–25. 12 indexed citations

2.

Figurnov, Michael, Maxwell D. Collins, Yukun Zhu, et al.. (2017). Spatially Adaptive Computation Time for Residual Networks. 1790–1799. 187 indexed citations

3.

Figurnov, Michael, et al.. (2015). PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. arXiv (Cornell University). 29. 955–963. 69 indexed citations

4.

Figurnov, Michael & Alexander Kirillov. (2012). Linear combination of random forests for the Relevance Prediction Challenge.

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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