Tom Kocmi

871 total citations
28 papers, 87 citations indexed

About

Tom Kocmi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tom Kocmi has authored 28 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Tom Kocmi's work include Natural Language Processing Techniques (23 papers), Topic Modeling (19 papers) and Text Readability and Simplification (6 papers). Tom Kocmi is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (19 papers) and Text Readability and Simplification (6 papers). Tom Kocmi collaborates with scholars based in Czechia, United States and Switzerland. Tom Kocmi's co-authors include Ondřej Bojar, Jindřich Helcl, Christian Federmann, Jindřich Libovický, Brian J. Thompson, Marcin Junczys-Dowmunt, Matt Post, Alon Lavie, Milan Straka and Jan Hajič and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Tom Kocmi

21 papers receiving 83 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Kocmi Czechia 6 83 30 4 2 2 28 87
Alvin Grissom United States 3 71 0.9× 26 0.9× 4 1.0× 2 1.0× 9 79
Aku Rouhe Finland 4 55 0.7× 17 0.6× 4 1.0× 1 0.5× 2 1.0× 14 66
Duygu Ataman United States 5 90 1.1× 36 1.2× 5 1.3× 5 2.5× 4 2.0× 13 92
Baigong Zheng United States 5 70 0.8× 21 0.7× 3 0.8× 7 71
Tomasz Dwojak Poland 5 84 1.0× 47 1.6× 3 0.8× 4 2.0× 4 2.0× 6 88
Sabrina J. Mielke United States 5 61 0.7× 12 0.4× 3 0.8× 3 1.5× 5 67
Dušan Variš Czechia 5 64 0.8× 39 1.3× 2 0.5× 4 2.0× 4 2.0× 7 73
Alberto Poncelas Ireland 7 92 1.1× 31 1.0× 10 2.5× 4 2.0× 5 2.5× 20 106
Hai Hu United States 6 84 1.0× 30 1.0× 10 2.5× 1 0.5× 4 2.0× 11 87
Ozan Çağlayan United Kingdom 3 32 0.4× 20 0.7× 3 0.8× 1 0.5× 2 1.0× 4 41

Countries citing papers authored by Tom Kocmi

Since Specialization
Citations

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

Fields of papers citing papers by Tom Kocmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Kocmi

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

All Works

20 of 20 papers shown
1.
2.
Kocmi, Tom, et al.. (2024). Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies. 1999–2014. 1 indexed citations
3.
Ding, Liang, et al.. (2024). Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. 8801–8816. 4 indexed citations
4.
Raunak, Vikas, Tom Kocmi, & Matt Post. (2024). SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window. 205–211.
5.
6.
Freitag, Markus, Daniel Deutsch, Chi-kiu Lo, et al.. (2024). Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task. 47–81. 1 indexed citations
7.
Kocmi, Tom, et al.. (2024). Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets. Computational Linguistics. 51(1). 73–137.
8.
Lu, Hongyuan, et al.. (2024). Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References. 6596–6610. 2 indexed citations
9.
Dhuliawala, Shehzaad, et al.. (2023). Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. 1311–1325. 2 indexed citations
10.
Kocmi, Tom, et al.. (2023). eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings. 746–750. 2 indexed citations
11.
12.
Freitag, Markus, Chi-kiu Lo, Eleftherios Avramidis, et al.. (2023). Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent. NPARC. 578–628. 8 indexed citations
13.
Kocmi, Tom, et al.. (2020). CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20. Empirical Methods in Natural Language Processing. 1123–1128. 1 indexed citations
14.
Kocmi, Tom. (2020). CUNI Submission for the Inuktitut Language in WMT News 2020. Empirical Methods in Natural Language Processing. 171–174. 2 indexed citations
15.
Straka, Milan, et al.. (2018). SumeCzech: Large Czech News-Based Summarization Dataset.. Language Resources and Evaluation. 6 indexed citations
16.
Helcl, Jindřich, et al.. (2018). Neural Monkey: The Current State and Beyond. Edinburgh Research Explorer (University of Edinburgh). 1. 168–176. 4 indexed citations
17.
Kocmi, Tom, et al.. (2018). CUNI Submissions in WMT18. 431–437. 3 indexed citations
18.
Kocmi, Tom & Ondřej Bojar. (2017). An Exploration of Word Embedding Initialization in Deep-Learning Tasks. 56–64. 1 indexed citations
19.
Kocmi, Tom, et al.. (2017). CUNI NMT System for WAT 2017 Translation Tasks. Waseda University Repository (Waseda University). 154–159. 1 indexed citations
20.
Mareček, David, et al.. (2017). CUNI submission in WMT17: Chimera goes neural. 248–256. 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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