Daniel Deutsch

420 total citations
31 papers, 226 citations indexed

About

Daniel Deutsch is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Deutsch has authored 31 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Deutsch's work include Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers) and Advanced Text Analysis Techniques (8 papers). Daniel Deutsch is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers) and Advanced Text Analysis Techniques (8 papers). Daniel Deutsch collaborates with scholars based in United States, United Kingdom and Portugal. Daniel Deutsch's co-authors include Dan Roth, Rotem Dror, Tania Bedrax-Weiss, Markus Freitag, Markus Freitag, F. K. Hwang, Jonathan H. Clark, Steffen Eger, George Foster and André F. T. Martins and has published in prestigious journals such as Journal of the ACM, Transactions of the Association for Computational Linguistics and NPARC.

In The Last Decade

Daniel Deutsch

24 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Deutsch United States 9 211 35 23 9 8 31 226
Jasmijn Bastings United States 5 164 0.8× 37 1.1× 15 0.7× 8 0.9× 3 0.4× 8 195
Jialong Tang China 8 224 1.1× 36 1.0× 28 1.2× 14 1.6× 4 0.5× 11 265
Shachar Mirkin Israel 10 344 1.6× 28 0.8× 41 1.8× 12 1.3× 4 0.5× 26 351
Rongzhong Lian Hong Kong 5 231 1.1× 53 1.5× 24 1.0× 4 0.4× 3 0.4× 12 247
Hiroshi Noji Japan 8 199 0.9× 37 1.1× 22 1.0× 17 1.9× 4 0.5× 23 214
Shiwei Tong China 7 187 0.9× 28 0.8× 32 1.4× 4 0.4× 4 0.5× 18 208
Oana-Maria Camburu United Kingdom 5 212 1.0× 57 1.6× 14 0.6× 5 0.6× 5 0.6× 15 227
Da Yin China 7 245 1.2× 79 2.3× 18 0.8× 8 0.9× 8 1.0× 14 277
Jon Saad-Falcon United States 4 127 0.6× 52 1.5× 35 1.5× 4 0.4× 4 0.5× 9 170

Countries citing papers authored by Daniel Deutsch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Deutsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Deutsch

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Deutsch. A scholar is included among the top collaborators of Daniel Deutsch 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 Daniel Deutsch. Daniel Deutsch 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.
Deutsch, Daniel, Isaac Caswell, Jason Riesa, et al.. (2025). WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. 12257–12284.
3.
Kovács, G., Daniel Deutsch, & Markus Freitag. (2024). Mitigating Metric Bias in Minimum Bayes Risk Decoding. 1063–1094.
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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
6.
Nowak, Agnieszka, Leonardo F. R. Ribeiro, João Sedoc, et al.. (2024). On the Role of Summary Content Units in Text Summarization Evaluation. 272–281.
7.
Deutsch, Daniel, et al.. (2024). MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. 492–504. 1 indexed citations
8.
9.
Deutsch, Daniel, et al.. (2023). MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task. 756–767. 4 indexed citations
10.
Deutsch, Daniel, et al.. (2023). The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. 117–138. 10 indexed citations
11.
Deutsch, Daniel, et al.. (2023). Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. 996–1013. 7 indexed citations
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Deutsch, Daniel, George Foster, & Markus Freitag. (2023). Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration. 12914–12929. 3 indexed citations
14.
Peter, Jan-Thorsten, et al.. (2023). There’s No Data like Better Data: Using QE Metrics for MT Data Filtering. 561–577.
15.
Fernandes, Patrick, Daniel Deutsch, André F. T. Martins, et al.. (2023). The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. 1066–1083. 19 indexed citations
16.
Deutsch, Daniel, Rotem Dror, & Dan Roth. (2022). On the Limitations of Reference-Free Evaluations of Generated Text. 10960–10977. 14 indexed citations
17.
Deutsch, Daniel, Tania Bedrax-Weiss, & Dan Roth. (2021). Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. Transactions of the Association for Computational Linguistics. 9. 774–789. 46 indexed citations
18.
Deutsch, Daniel, Rotem Dror, & Dan Roth. (2021). A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods. Transactions of the Association for Computational Linguistics. 9. 1132–1146. 35 indexed citations
19.
Deutsch, Daniel & Dan Roth. (2020). SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics. 120–125. 14 indexed citations
20.
Deutsch, Daniel, Shyam Upadhyay, & Dan Roth. (2019). A General-Purpose Algorithm for Constrained Sequential Inference. 482–492. 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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