Caleb Ziems
Impact in
- General Social Sciences top 0.5%
- Computational and Text Analysis Methods
- Health Informatics top 10%
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Hate Speech and Cyberbullying Detection 4
- Speech and dialogue systems 2
- Speech Recognition and Synthesis 2
-
- Social Media and Politics 2
- Co-authors
- Diyi Yang (18 shared papers)William A. Held (6 shared papers)Omar Ahmed Shaikh (1 shared paper)Munmun De Choudhury (1 shared paper)David Muchlinski (2 shared papers)Mai ElSherief (1 shared paper)Srijan Kumar (1 shared paper)Naren Ramakrishnan (1 shared paper)
- Journals
- Computational Linguistics (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (3 papers)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)
- Partner nations
- United StatesSingaporeFrance
In The Last Decade
Caleb Ziems
15 papers receiving 616 citations
Caleb Ziems's Hit Papers
Peers
Comparison fields: 5 of 79
- General Social Sciences 55
- Health Informatics 20
- Artificial Intelligence 409
- Communication 65
- Safety Research 27
Countries citing papers authored by Caleb Ziems
This map shows the geographic impact of Caleb Ziems'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 Caleb Ziems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb Ziems more than expected).
Fields of papers citing papers by Caleb Ziems
This network shows the impact of papers produced by Caleb Ziems. 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 Caleb Ziems. The network helps show where Caleb Ziems may publish in the future.
Co-authors
The 25 scholars most cited alongside Caleb Ziems, 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 | Can Large Language Models Transform Computational Social Science? Hit paper breakdown → | 2023 | 283 |
| 2 | 2021 | 117 | |
| 3 | 2021 | 78 | |
| 4 | 2022 | 43 | |
| 5 | 2022 | 17 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 11 | |
| 11 | 2020 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Caleb Ziems
Caleb Ziems is a scholar working on Artificial Intelligence, Communication, General Social Sciences, Health Informatics and Information Systems, having authored 19 papers that have together received 626 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Hate Speech and Cyberbullying Detection (4 papers), Social Media and Politics (2 papers), Computational and Text Analysis Methods (2 papers), Speech and dialogue systems (2 papers), Speech Recognition and Synthesis (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in General Social Sciences (55 citations), Health Informatics (20 citations), Artificial Intelligence (409 citations), Communication (65 citations) and Safety Research (27 citations). Caleb Ziems has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Diyi Yang, William A. Held, Omar Ahmed Shaikh, Munmun De Choudhury, David Muchlinski, Mai ElSherief, Srijan Kumar, Naren Ramakrishnan, Sandeep Soni and Bing He. Their work appears in journals such as Computational Linguistics, arXiv (Cornell University), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the International AAAI Conference on Web and Social Media.
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.