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
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 9
- Text Readability and Simplification 3
- Advanced Text Analysis Techniques 2
- Machine Learning and Data Classification 2
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- Web Data Mining and Analysis 2
- Cloud Computing and Resource Management 2
- Co-authors
- Chenguang Zhu (6 shared papers)Yang Liu (6 shared papers)Xu Yi‐chong (4 shared papers)Shuohang Wang (3 shared papers)Ruochen Xu (3 shared papers)Luis Gravano (2 shared papers)Mor Naaman (2 shared papers)Hila Becker (2 shared papers)
- Journals
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)USENIX Annual Technical Conference (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Dan Iter
18 papers receiving 707 citations
Dan Iter's Hit Papers
Peers
Comparison fields: 5 of 84
- Health Informatics 27
- Artificial Intelligence 426
- Information Systems 190
- Statistical and Nonlinear Physics 86
- Computer Vision and Pattern Recognition 92
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 | 302 |
| 2 | 2012 | 145 | |
| 3 | 2023 | 73 | |
| 4 | 2018 | 61 | |
| 5 | From laptop to lambda: outsourcing everyday jobs to thousands of transient functional containers | 2019 | 60 |
| 6 | 2020 | 48 | |
| 7 | 2017 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 6 | |
| 12 | Socratic Learning: Correcting Misspecified Generative Models using Discriminative Models | 2016 | 3 |
| 13 | 2021 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg. | 2019 | 1 |
| 18 | 2020 | 1 | |
| 19 | 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 Communication, having authored 19 papers that have together received 745 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers), Text Readability and Simplification (3 papers), Web Data Mining and Analysis (2 papers), Cloud Computing and Resource Management (2 papers), Advanced Text Analysis Techniques (2 papers), Machine Learning and Data Classification (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (27 citations), Artificial Intelligence (426 citations), Information Systems (190 citations), Statistical and Nonlinear Physics (86 citations) and Computer Vision and Pattern Recognition (92 citations). Dan Iter has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Chenguang Zhu, Yang Liu, Xu Yi‐chong, Shuohang Wang, Ruochen Xu, Luis Gravano, Mor Naaman, Hila Becker, Dan Jurafsky and Jong‐Woo Yoon. Their work appears in journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), USENIX Annual Technical Conference, Proceedings of the International AAAI Conference on Web and Social Media, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.