Igor Gitman

965 total citations
3 papers, 14 citations indexed

About

Igor Gitman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Igor Gitman has authored 3 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Igor Gitman's work include Speech Recognition and Synthesis (2 papers), Natural Language Processing Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Igor Gitman is often cited by papers focused on Speech Recognition and Synthesis (2 papers), Natural Language Processing Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Igor Gitman collaborates with scholars based in United States, Russia and United Kingdom. Igor Gitman's co-authors include Boris Ginsburg, Yang You, Vitaly Lavrukhin, Oleksii Kuchaiev, Carl Case and Paulius Micikevicius and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Igor Gitman

3 papers receiving 12 citations

Peers

Igor Gitman
S. Shi China
Aleksei Timofeev United States
Lean Wang China
Liam Fowl United States
Siddhartha Mishra United States
S. Shi China
Igor Gitman
Citations per year, relative to Igor Gitman Igor Gitman (= 1×) peers S. Shi

Countries citing papers authored by Igor Gitman

Since Specialization
Citations

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

Fields of papers citing papers by Igor Gitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Gitman

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

All Works

3 of 3 papers shown
1.
Gitman, Igor, et al.. (2023). Confidence-based Ensembles of End-to-End Speech Recognition Models. 1 indexed citations
2.
Kuchaiev, Oleksii, Boris Ginsburg, Igor Gitman, et al.. (2018). OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models. arXiv (Cornell University). 41–46. 7 indexed citations
3.
Ginsburg, Boris, Igor Gitman, & Yang You. (2018). Large Batch Training of Convolutional Networks with Layer-wise Adaptive Rate Scaling. 6 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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