Dan Iter
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
Papers in
-
- Topic Modeling 13
- Natural Language Processing Techniques 8
- Text Readability and Simplification 3
- Machine Learning and Data Classification 2
- Advanced Text Analysis Techniques 2
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- Cloud Computing and Resource Management 2
- Co-authors
- Chenguang Zhu (6 shared papers)Yang Liu (6 shared papers)Ruochen Xu (3 shared papers)Xu Yi‐chong (4 shared papers)Shuohang Wang (3 shared papers)Dan Jurafsky (3 shared papers)Mor Naaman (2 shared papers)Hila Becker (2 shared papers)
- Journals
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)USENIX Annual Technical Conference (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Dan Iter
17 papers receiving 799 citations
Dan Iter's Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 32
- Artificial Intelligence 471
- Information Systems 201
- Statistical and Nonlinear Physics 85
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Dan Iter
This map shows the geographic impact of Dan Iter'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 Dan Iter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Iter more than expected).
Fields of papers citing papers by Dan Iter
This network shows the impact of papers produced by Dan Iter. 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 Dan Iter. The network helps show where Dan Iter may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Iter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment Hit paper breakdown → | 2023 | 360 |
| 2 | 2012 | 144 | |
| 3 | 2023 | 93 | |
| 4 | 2018 | 66 | |
| 5 | From laptop to lambda: outsourcing everyday jobs to thousands of transient functional containers | 2019 | 65 |
| 6 | 2020 | 53 | |
| 7 | 2017 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 1 | |
| 17 | Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg. | 2019 | 1 |
| 18 | 2024 | 0 |
About Dan Iter
Dan Iter is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Hardware and Architecture, having authored 18 papers that have together received 839 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers), Text Readability and Simplification (3 papers), Machine Learning and Data Classification (2 papers), Advanced Text Analysis Techniques (2 papers), Cloud Computing and Resource Management (2 papers), Complex Network Analysis Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Health Informatics (32 citations), Artificial Intelligence (471 citations), Information Systems (201 citations), Statistical and Nonlinear Physics (85 citations) and Computer Vision and Pattern Recognition (94 citations). Dan Iter has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chenguang Zhu, Yang Liu, Ruochen Xu, Xu Yi‐chong, Shuohang Wang, Dan Jurafsky, Mor Naaman, Hila Becker, Luis Gravano and Jong‐Woo Yoon. Their work appears in journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the International AAAI Conference on Web and Social Media, USENIX Annual Technical Conference and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.