Caleb Ziems

13 papers and 254 indexed citations i.

About

Caleb Ziems is a scholar working on Artificial Intelligence, Communication and General Social Sciences. According to data from OpenAlex, Caleb Ziems has authored 13 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Communication and 2 papers in General Social Sciences. Recurrent topics in Caleb Ziems’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Hate Speech and Cyberbullying Detection (3 papers). Caleb Ziems is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Hate Speech and Cyberbullying Detection (3 papers). Caleb Ziems collaborates with scholars based in United States, Singapore and France. Caleb Ziems's co-authors include Diyi Yang, William A. Held, Munmun De Choudhury, Mai ElSherief, David Muchlinski, Ýmir Vigfússon, Fred Morstatter, Yi‐Chia Wang, Alon Halevy and Jane Yu and has published in prestigious journals such as Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Caleb Ziems i

Fields of papers citing papers by Caleb Ziems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Caleb Ziems

Since Specialization
Citations

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).

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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2025