Caleb Ziems

1.0k total citations · 1 hit paper
14 papers, 467 citations indexed

About

Caleb Ziems is a scholar working on Artificial Intelligence, Communication and Political Science and International Relations. According to data from OpenAlex, Caleb Ziems has authored 14 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Communication and 2 papers in Political Science and International Relations. Recurrent topics in Caleb Ziems's work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Computational and Text Analysis Methods (2 papers). Caleb Ziems is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Computational and Text Analysis Methods (2 papers). Caleb Ziems collaborates with scholars based in United States, Singapore and France. Caleb Ziems's co-authors include Diyi Yang, William A. Held, Omar Ahmed Shaikh, Munmun De Choudhury, Mai ElSherief, David Muchlinski, Bing He, Naren Ramakrishnan, Sandeep Soni and Srijan Kumar 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 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Caleb Ziems

13 papers receiving 461 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Can Large Language Models Transform Computational Social Science?

2023 201 citations Caleb Ziems, William A. Held et al. Computational Linguistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caleb Ziems United States	8	333	100	55	50	38	14	467
Christopher Rytting United States	4	187 0.6×	86 0.9×	27 0.5×	65 1.3×	20 0.5×	4	382
Aida Mostafazadeh Davani United States	10	225 0.7×	165 1.6×	44 0.8×	21 0.4×	68 1.8×	21	406
Saadia Gabriel United States	9	536 1.6×	92 0.9×	78 1.4×	15 0.3×	62 1.6×	18	681
Kate K. Mays United States	8	82 0.2×	99 1.0×	70 1.3×	17 0.3×	25 0.7×	22	224
Maurice Jakesch United States	7	178 0.5×	140 1.4×	49 0.9×	9 0.2×	38 1.0×	10	371
Li Lucy United States	7	163 0.5×	50 0.5×	15 0.3×	40 0.8×	13 0.3×	14	301
Jonathan Stray United States	6	78 0.2×	88 0.9×	50 0.9×	15 0.3×	11 0.3×	11	251
Maria Antoniak United States	6	129 0.4×	42 0.4×	17 0.3×	37 0.7×	10 0.3×	23	239
Ted Underwood United States	13	234 0.7×	94 0.9×	31 0.6×	126 2.5×	9 0.2×	53	586
Samuel Carton United States	11	225 0.7×	64 0.6×	61 1.1×	4 0.1×	17 0.4×	15	351

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).

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.

Co-authorship network of co-authors of Caleb Ziems

This figure shows the co-authorship network connecting the top 25 collaborators of Caleb Ziems. A scholar is included among the top collaborators of Caleb Ziems 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 Caleb Ziems. Caleb Ziems is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Ziems, Caleb, et al.. (2024). CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies. 4996–5025. 4 indexed citations

2.

Ziems, Caleb, et al.. (2024). Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles. 12493–12509.

3.

Shaikh, Omar, et al.. (2023). Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. 6550–6569. 4 indexed citations

4.

Li, Minzhi, Caleb Ziems, Min‐Yen Kan, et al.. (2023). CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation. 1487–1505. 13 indexed citations

5.

Ziems, Caleb, et al.. (2023). Impressions: Visual Semiotics and Aesthetic Impact Understanding. 12273–12291. 3 indexed citations

6.

Ziems, Caleb, et al.. (2023). Can Large Language Models Transform Computational Social Science?. Computational Linguistics. 50(1). 237–291. 201 indexed citations breakdown →

7.

Ziems, Caleb, et al.. (2023). Multi-VALUE: A Framework for Cross-Dialectal English NLP. 7 indexed citations

8.

Held, William A., Caleb Ziems, & Diyi Yang. (2023). TADA : Task Agnostic Dialect Adapters for English. 813–824. 5 indexed citations

9.

Ziems, Caleb, et al.. (2023). NormBank: A Knowledge Bank of Situational Social Norms. 7756–7776. 11 indexed citations

10.

Ziems, Caleb, Minzhi Li, Anthony Lin Zhang, & Diyi Yang. (2022). Inducing Positive Perspectives with Text Reframing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3682–3700. 14 indexed citations

11.

Ziems, Caleb, et al.. (2022). VALUE: Understanding Dialect Disparity in NLU. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 13 indexed citations

12.

Ziems, Caleb, Jane Yu, Yi‐Chia Wang, Alon Halevy, & Diyi Yang. (2022). The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3755–3773. 37 indexed citations

13.

ElSherief, Mai, et al.. (2021). Latent Hatred: A Benchmark for Understanding Implicit Hate Speech. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 345–363. 89 indexed citations

14.

He, Bing, Caleb Ziems, Sandeep Soni, et al.. (2021). Racism is a virus. 90–94. 66 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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