Nithum Thain

2.7k total citations · 2 hit papers
20 papers, 1.1k citations indexed

About

Nithum Thain is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Nithum Thain has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Communication and 5 papers in Information Systems. Recurrent topics in Nithum Thain's work include Hate Speech and Cyberbullying Detection (12 papers), Topic Modeling (7 papers) and Wikis in Education and Collaboration (4 papers). Nithum Thain is often cited by papers focused on Hate Speech and Cyberbullying Detection (12 papers), Topic Modeling (7 papers) and Wikis in Education and Collaboration (4 papers). Nithum Thain collaborates with scholars based in United States, Canada and United Kingdom. Nithum Thain's co-authors include Lucas Dixon, Ellery Wulczyn, Jeffrey Sorensen, Lucy Vasserman, John Li, Yiqing Hua, Dario Taraborelli, Cristian Danescu-Niculescu-Mizil, Justine Zhang and John Pavlopoulos and has published in prestigious journals such as American Mathematical Monthly, Infection Genetics and Evolution and Social Science Computer Review.

In The Last Decade

Nithum Thain

19 papers receiving 1.1k 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.

Ex Machina

2017 369 citations Ellery Wulczyn, Nithum Thain et al. profile →
Measuring and Mitigating Unintended Bias in Text Classification

2018 338 citations Lucas Dixon, John Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nithum Thain United States	10	975	223	189	168	104	20	1.1k
Debora Nozza Italy	14	906 0.9×	139 0.6×	127 0.7×	118 0.7×	111 1.1×	38	1.1k
Dallas Card United States	13	766 0.8×	130 0.6×	156 0.8×	225 1.3×	39 0.4×	24	1.1k
Bertie Vidgen United Kingdom	15	652 0.7×	155 0.7×	169 0.9×	196 1.2×	100 1.0×	31	851
Thomas Davidson United States	6	1.4k 1.4×	332 1.5×	308 1.6×	197 1.2×	184 1.8×	13	1.5k
Dana Warmsley United States	2	1.3k 1.4×	332 1.5×	298 1.6×	188 1.1×	182 1.8×	7	1.4k
Lucy Vasserman United States	7	529 0.5×	80 0.4×	66 0.3×	100 0.6×	20 0.2×	8	635
Naeemul Hassan United States	16	406 0.4×	273 1.2×	118 0.6×	475 2.8×	20 0.2×	37	836
Sérgio Nunes Portugal	9	713 0.7×	212 1.0×	177 0.9×	109 0.6×	112 1.1×	40	849
Anastasia Giachanou Switzerland	16	587 0.6×	350 1.6×	80 0.4×	512 3.0×	56 0.5×	37	923
Hind Almerekhi Qatar	11	411 0.4×	167 0.7×	122 0.6×	140 0.8×	88 0.8×	23	571

Countries citing papers authored by Nithum Thain

Since Specialization

Citations

This map shows the geographic impact of Nithum Thain'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 Nithum Thain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nithum Thain more than expected).

Fields of papers citing papers by Nithum Thain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nithum Thain. 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 Nithum Thain. The network helps show where Nithum Thain may publish in the future.

Co-authorship network of co-authors of Nithum Thain

This figure shows the co-authorship network connecting the top 25 collaborators of Nithum Thain. A scholar is included among the top collaborators of Nithum Thain 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 Nithum Thain. Nithum Thain 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:

20 of 20 papers shown

1.

Wang, Xuezhi, Yao Qin, Nithum Thain, et al.. (2023). Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. 127–139.

2.

Kolhatkar, Varada, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, & Maite Taboada. (2023). Classifying constructive comments. First Monday. 2 indexed citations

3.

Mozes, Maximilian, Jessica D. Hoffmann, Katrin Tomanek, et al.. (2023). Towards Agile Text Classifiers for Everyone. 400–414. 2 indexed citations

4.

Wang, Xuezhi, et al.. (2021). Can We Improve Model Robustness through Secondary Attribute Counterfactuals?. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4701–4712. 5 indexed citations

5.

Wang, Xuezhi, Nithum Thain, Flavien Prost, et al.. (2021). Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. 2007. 436–444. 13 indexed citations

6.

Thain, Nithum, et al.. (2020). Six Attributes of Unhealthy Conversations. 114–124. 19 indexed citations

7.

Pavlopoulos, John, Nithum Thain, Lucas Dixon, & Ion Androutsopoulos. (2019). ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT. 571–576. 31 indexed citations

8.

Aroyo, Lora, et al.. (2019). Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions. 1100–1105. 36 indexed citations

9.

Dixon, Lucas, et al.. (2019). Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. 491–500. 149 indexed citations

10.

Prost, Flavien, Nithum Thain, & Tolga Bolukbasi. (2019). Debiasing Embeddings for Fairer Text Classification. 1 indexed citations

11.

Thain, Nithum, Aldo Crossa, Shama D. Ahuja, et al.. (2018). Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data. Infection Genetics and Evolution. 72. 59–66. 7 indexed citations

12.

Hua, Yiqing, et al.. (2018). WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. 2818–2823. 14 indexed citations

13.

Zhang, Justine, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, et al.. (2018). Conversations Gone Awry: Detecting Early Signs of Conversational Failure. 1350–1361. 102 indexed citations

14.

Dixon, Lucas, John Li, Jeffrey Sorensen, Nithum Thain, & Lucy Vasserman. (2018). Measuring and Mitigating Unintended Bias in Text Classification. 67–73. 338 indexed citations breakdown →

15.

Hopp, Toby, Chris J. Vargo, Lucas Dixon, & Nithum Thain. (2018). Correlating Self-Report and Trace Data Measures of Incivility: A Proof of Concept. Social Science Computer Review. 38(5). 584–599. 17 indexed citations

16.

Thain, Nithum, Lucas Dixon, & Ellery Wulczyn. (2017). Wikipedia Talk Labels: Toxicity. Figshare. 9 indexed citations

17.

Wulczyn, Ellery, Nithum Thain, & Lucas Dixon. (2017). Wikipedia Talk Labels: Personal Attacks. Figshare. 5 indexed citations

18.

Wulczyn, Ellery, Nithum Thain, & Lucas Dixon. (2017). Ex Machina. 1391–1399. 369 indexed citations breakdown →

19.

Murty, M. Ram & Nithum Thain. (2007). Pick's Theorem via Minkowski's Theorem. American Mathematical Monthly. 114(8). 732–736. 7 indexed citations

20.

Thain, Nithum, et al.. (2006). Primes in Certain Arithmetic Progressions. Functiones et Approximatio Commentarii Mathematici. 35(none). 6 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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