Mikhail Khodak

5.4k total citations
10 papers, 232 citations indexed

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 10 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Mikhail Khodak's work include Cold Fusion and Nuclear Reactions (2 papers), Music and Audio Processing (2 papers) and Topic Modeling (2 papers). Mikhail Khodak is often cited by papers focused on Cold Fusion and Nuclear Reactions (2 papers), Music and Audio Processing (2 papers) and Topic Modeling (2 papers). Mikhail Khodak collaborates with scholars based in United States, Russia and United Kingdom. Mikhail Khodak's co-authors include Nikunj Saunshi, Sanjeev Arora, Orestis Plevrakis, Kiran Vodrahalli, Liang Zheng, Mung Chiang, Andrew Lan, Carlee Joe‐Wong, Andrej Risteski and Christiane Fellbaum and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Mikhail Khodak

9 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mikhail Khodak United States	7	158	62	32	17	11	10	232
H. Niewiadomski Switzerland	4	106 0.7×	30 0.5×	21 0.7×	13 0.8×	11 1.0×	8	182
Pengzhou Zhang China	9	151 1.0×	46 0.7×	53 1.7×	11 0.6×	4 0.4×	53	236
Jack D. Hidary United States	5	173 1.1×	30 0.5×	51 1.6×	21 1.2×	3 0.3×	9	251
Yanxia Li China	8	61 0.4×	30 0.5×	15 0.5×	24 1.4×	21 1.9×	24	272
Aaron Adcock United States	8	100 0.6×	89 1.4×	12 0.4×	24 1.4×	2 0.2×	10	248
Liying Cheng China	8	92 0.6×	34 0.5×	20 0.6×	5 0.3×	20 1.8×	26	254
Md Abul Bashar Australia	7	112 0.7×	58 0.9×	29 0.9×	13 0.8×		23	203
Jessica Zosa Forde United States	6	63 0.4×	17 0.3×	40 1.3×	31 1.8×	5 0.5×	14	228
Chen Wu United States	9	123 0.8×	74 1.2×	16 0.5×	6 0.4×	6 0.5×	19	192

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).

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.

Co-authorship network of co-authors of Mikhail Khodak

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

All Works

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10 of 10 papers shown

1.

Khodak, Mikhail, Neil Tenenholtz, Lester Mackey, & Nicolò Fusi. (2021). Initialization and Regularization of Factorized Neural Layers. arXiv (Cornell University).

2.

Balcan, Maria-Florina, Mikhail Khodak, & Ameet Talwalkar. (2019). Provable Guarantees for Gradient-Based Meta-Learning.. International Conference on Machine Learning. 424–433. 11 indexed citations

3.

Cohen, S., et al.. (2019). Direct fusion drive for interstellar exploration. 72(2). 37–50. 11 indexed citations

4.

Khodak, Mikhail, Liam Li, Maria-Florina Balcan, & Ameet Talwalkar. (2019). On Weight-Sharing and Bilevel Optimization in Architecture Search. 1 indexed citations

5.

Arora, Sanjeev, et al.. (2019). A Theoretical Analysis of Contrastive Unsupervised Representation Learning. arXiv (Cornell University). 5628–5637. 112 indexed citations

6.

Arora, Sanjeev, Mikhail Khodak, Nikunj Saunshi, & Kiran Vodrahalli. (2018). A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs. International Conference on Learning Representations. 12 indexed citations

7.

Khodak, Mikhail, Liang Zheng, Andrew Lan, Carlee Joe‐Wong, & Mung Chiang. (2018). Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. 24 indexed citations

8.

Khodak, Mikhail, Nikunj Saunshi, & Kiran Vodrahalli. (2017). A Large Self-Annotated Corpus for Sarcasm. arXiv (Cornell University). 42 indexed citations

9.

Khodak, Mikhail, Andrej Risteski, Christiane Fellbaum, & Sanjeev Arora. (2017). Automated WordNet Construction Using Word Embeddings. 12–23. 15 indexed citations

10.

Cohen, S., R. Feder, Kevin L. Griffin, et al.. (2015). Reducing neutron emission from small fusion rocket engines. 7749–7759. 4 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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