Mikhail Khodak

7 papers and 137 indexed citations i.

About

Mikhail Khodak is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mikhail Khodak has authored 7 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Mikhail Khodak’s work include Domain Adaptation and Few-Shot Learning (3 papers), Music and Audio Processing (2 papers) and Topic Modeling (2 papers). Mikhail Khodak is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Music and Audio Processing (2 papers) and Topic Modeling (2 papers). Mikhail Khodak collaborates with scholars based in United States and Israel. Mikhail Khodak's co-authors include Nikunj Saunshi, Sanjeev Arora, Kiran Vodrahalli, Yingyu Liang, Tengyu Ma, Brandon Stewart, Maria-Florina Balcan, Ameet Talwalkar, Orestis Plevrakis and Mung Chiang and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.

In The Last Decade

Co-authorship network of co-authors of Mikhail Khodak i

Fields of papers citing papers by Mikhail Khodak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mikhail Khodak

Since Specialization
Citations

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

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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