Katherine A. Keith

419 citations

9 papers · 250 indexed · 1 hit paper · h-index 5

Co-authors: David Nicholson Douglas G. Rogers Amir Feder Reid Pryzant Dhanya Sridhar Margaret E. Roberts Diyi Yang Brandon Stewart
Topics: Computational and Text Analysis Methods (3 papers)Topic Modeling (3 papers)scientometrics and bibliometrics research (1 paper)
Cited by: Endocrinology, Diabetes and Metabolism Family Practice Artificial Intelligence
Journals: Political Analysis Transactions of the Association for Computational Linguistics Proceedings of the ACM on Human-Computer Interaction
Partner nations: United States Israel Canada

In The Last Decade

Katherine A. Keith

9 papers receiving 239 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.

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

2022 120 citations Amir Feder, Katherine A. Keith et al. Transactions of the Association for Computational Linguistics profile →

Peers

Countries citing papers authored by Katherine A. Keith

Since Specialization

Citations

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

Fields of papers citing papers by Katherine A. Keith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine A. Keith. 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 Katherine A. Keith. The network helps show where Katherine A. Keith may publish in the future.

Co-authorship network of co-authors of Katherine A. Keith

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts 2025 ·Political Analysis ·(unknown),Katherine A. Keith	1
2	Response to ketamine treatment for major depressive disorder not associated with number of psychiatric comorbidities 2023 ·Journal of Affective Disorders Reports ·(unknown),Katherine A. Keith,(unknown),(unknown),Cynthia L. Arfken,(unknown),Nicholas Mischel	2
3	Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications 2023 ·Li Lucy,Jesse Dodge,David Bamman,Katherine A. Keith	2
4	Paying Attention to the Algorithm Behind the Curtain: Bringing Transparency to YouTube's Demonetization Algorithms 2022 ·Proceedings of the ACM on Human-Computer Interaction ·(unknown),Katherine A. Keith,Ethan Zuckerman,Narseo Vallina-Rodríguez,Brendan O’Connor,Rishab Nithyanand	4
5	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyondbreakdown → 2022 ·Transactions of the Association for Computational Linguistics ·Amir Feder,Katherine A. Keith,Emaad Manzoor,Reid Pryzant,Dhanya Sridhar,Zach Wood-Doughty,Jacob Eisenstein,Justin Grimmer,Roi Reichart,Margaret E. Roberts,Brandon Stewart,Victor Veitch,Diyi Yang	120
6	Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates 2020 ·arXiv (Cornell University) ·Katherine A. Keith,David Jensen,Brendan O’Connor	6
7	Uncertainty-aware generative models for inferring document class prevalence 2018 ·Katherine A. Keith,Brendan O’Connor	9
8	Wind-Diesel Systems in Alaska: A Preliminary Analysis 2010 ·(unknown),Katherine A. Keith,(unknown)	1
9	Accuracy and Precision of Low-Dose Insulin Administration Using Syringes, Pen Injectors, and a Pump 2004 ·Clinical Pediatrics ·Katherine A. Keith,David Nicholson,Douglas G. Rogers	105

About Katherine A. Keith

Katherine A. Keith is a scholar working on General Social Sciences, Biological Psychiatry and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 250 indexed citations. Recurring topics across this work include Computational and Text Analysis Methods (3 papers), Topic Modeling (3 papers) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (89 citations), Family Practice (9 citations) and Artificial Intelligence (101 citations). Katherine A. Keith has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include David Nicholson, Douglas G. Rogers, Amir Feder, Reid Pryzant, Dhanya Sridhar, Margaret E. Roberts, Diyi Yang, Brandon Stewart, Roi Reichart and Zach Wood-Doughty. Their work appears in journals such as Political Analysis, Transactions of the Association for Computational Linguistics and Proceedings of the ACM on Human-Computer Interaction.

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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