Kellie Webster

1.4k total citations
11 papers, 328 citations indexed

About

Kellie Webster is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Kellie Webster has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Safety Research and 1 paper in Information Systems. Recurrent topics in Kellie Webster's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Text Readability and Simplification (4 papers). Kellie Webster is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Text Readability and Simplification (4 papers). Kellie Webster collaborates with scholars based in United States, Australia and Sweden. Kellie Webster's co-authors include Vinodkumar Prabhakaran, Yu Zhong, Ben Hutchinson, Vera Axelrod, Emily Denton, Jason Baldridge, Marta Vilar Recasens, Daniel Andor, Emily Pitler and James Curran and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Edinburgh Research Explorer and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Kellie Webster

10 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kellie Webster United States	7	255	50	31	26	22	11	328
Sunipa Dev United States	7	172 0.7×	56 1.1×	21 0.7×	18 0.7×	19 0.9×	18	249
Simone Conia Italy	10	270 1.1×	21 0.4×	35 1.1×	28 1.1×	18 0.8×	25	352
Maheen Farooqi Canada	3	211 0.8×	66 1.3×	24 0.8×	52 2.0×	39 1.8×	5	323
Shrimai Prabhumoye United States	7	274 1.1×	18 0.4×	48 1.5×	23 0.9×	28 1.3×	10	346
Emily Sheng United States	6	355 1.4×	38 0.8×	56 1.8×	30 1.2×	19 0.9×	10	420
Susan Leavy Ireland	5	84 0.3×	77 1.5×	14 0.5×	24 0.9×	54 2.5×	18	226
Myra Cheng United States	4	73 0.3×	36 0.7×	36 1.2×	16 0.6×	27 1.2×	8	191
Annette Hautli-Janisz Germany	9	227 0.9×	21 0.4×	48 1.5×	67 2.6×	21 1.0×	40	346
Venkatesh Sivaraman United States	8	96 0.4×	72 1.4×	18 0.6×	36 1.4×	46 2.1×	10	235
Jonathan Stray United States	6	78 0.3×	49 1.0×	50 1.6×	12 0.5×	88 4.0×	11	251

Countries citing papers authored by Kellie Webster

Since Specialization

Citations

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

Fields of papers citing papers by Kellie Webster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kellie Webster

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

11 of 11 papers shown

1.

Amplayo, Reinald Kim, Kellie Webster, Michael J. Collins, Dipanjan Das, & Shashi Narayan. (2023). Query Refinement Prompts for Closed-Book Long-Form QA. 7997–8012.

2.

Axelrod, Vera, et al.. (2022). Flexible text generation for counterfactual fairness probing. 209–229. 6 indexed citations

3.

Webster, Kellie, et al.. (2021). Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5457–5473. 2 indexed citations

4.

Hutchinson, Ben, et al.. (2020). Social Biases in NLP Models as Barriers for Persons with Disabilities. 5491–5501. 144 indexed citations

5.

Hutchinson, Ben, et al.. (2020). Unintended machine learning biases as social barriers for persons with disabilitiess. ACM SIGACCESS Accessibility and Computing. 1–1. 33 indexed citations

6.

Webster, Kellie, Marta R. Costa‐jussà, Christian Hardmeier, & Will Radford. (2019). Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019. Edinburgh Research Explorer. 1–7. 8 indexed citations

7.

Elkahky, Ali, Kellie Webster, Daniel Andor, & Emily Pitler. (2018). A Challenge Set and Methods for Noun-Verb Ambiguity. 2562–2572. 10 indexed citations

8.

Webster, Kellie, Marta Vilar Recasens, Vera Axelrod, & Jason Baldridge. (2018). Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns. Transactions of the Association for Computational Linguistics. 6. 605–617. 117 indexed citations

9.

Webster, Kellie & Joel Nothman. (2016). Using mention accessibility to improve coreference resolution. 432–437. 1 indexed citations

10.

Webster, Kellie & James Curran. (2014). Limited memory incremental coreference resolution. International Conference on Computational Linguistics. 2129–2139. 6 indexed citations

11.

O’Keefe, Tim, Kellie Webster, James Curran, & Irena Koprinska. (2013). Examining the Impact of Coreference Resolution on Quote Attribution. 43–52. 1 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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