Dmytro Okhonko

1.1k total citations · 1 hit paper
4 papers, 307 citations indexed

About

Dmytro Okhonko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Dmytro Okhonko has authored 4 papers receiving a total of 307 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 0 papers in Infectious Diseases. Recurrent topics in Dmytro Okhonko's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (3 papers). Dmytro Okhonko is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (3 papers). Dmytro Okhonko collaborates with scholars based in United States, Netherlands and Canada. Dmytro Okhonko's co-authors include Armen Aghajanyan, Luke Zettlemoyer, Florian Metze, Christoph Feichtenhofer, Po-Yao Huang, Gargi Ghosh, Hu Xu, Barlas Oğuz, Xilun Chen and Scott Yih and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Dmytro Okhonko

4 papers receiving 298 citations

Hit Papers

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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.

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

2021 247 citations Hu Xu, Gargi Ghosh et al. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmytro Okhonko United States	4	216	187	13	10	8	4	307
Mingqian Tang China	9	193 0.9×	142 0.8×	7 0.5×	28 2.8×	4 0.5×	13	242
Diane Bouchacourt United Kingdom	6	107 0.5×	129 0.7×	16 1.2×	6 0.6×	2 0.3×	6	196
Zhihao Fan China	11	162 0.8×	202 1.1×	8 0.6×	6 0.6×	5 0.6×	35	309
Paul Hongsuck Seo United States	7	239 1.1×	121 0.6×	23 1.8×	8 0.8×	4 0.5×	15	325
Qiufeng Wang China	6	194 0.9×	186 1.0×	8 0.6×	5 0.5×	3 0.4×	13	300
Houdong Hu United Kingdom	3	469 2.2×	345 1.8×	14 1.1×	10 1.0×	4 0.5×	3	568
Jaemin Na South Korea	3	127 0.6×	152 0.8×	5 0.4×	5 0.5×	8 1.0×	7	216
Aron Yu United States	3	213 1.0×	115 0.6×	12 0.9×	4 0.4×	4 0.5×	4	267

Countries citing papers authored by Dmytro Okhonko

Since Specialization

Citations

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

Fields of papers citing papers by Dmytro Okhonko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Okhonko

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

Dalmia, Siddharth, Dmytro Okhonko, Michael Lewis, et al.. (2023). LegoNN: Building Modular Encoder-Decoder Models. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3112–3126. 7 indexed citations

2.

Oğuz, Barlas, Xilun Chen, Vladimir Karpukhin, et al.. (2022). UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. 1535–1546. 45 indexed citations

3.

Aghajanyan, Armen, Barlas Oğuz, Dmytro Okhonko, et al.. (2022). CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. 8 indexed citations

4.

Xu, Hu, Gargi Ghosh, Po-Yao Huang, et al.. (2021). VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6787–6800. 247 indexed citations breakdown →

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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