Allison Koenecke

1.1k total citations · 1 hit paper
20 papers, 518 citations indexed

About

Allison Koenecke is a scholar working on Artificial Intelligence, Infectious Diseases and General Health Professions. According to data from OpenAlex, Allison Koenecke has authored 20 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Infectious Diseases and 4 papers in General Health Professions. Recurrent topics in Allison Koenecke's work include COVID-19 Clinical Research Studies (4 papers), Advanced Causal Inference Techniques (3 papers) and Speech Recognition and Synthesis (3 papers). Allison Koenecke is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Advanced Causal Inference Techniques (3 papers) and Speech Recognition and Synthesis (3 papers). Allison Koenecke collaborates with scholars based in United States. Allison Koenecke's co-authors include Sharad Goel, John R. Rickford, Dan Jurafsky, Andrew Nam, Zion Mengesha, Ruoxuan Xiong, Joshua T Vogelstein, Susan Athey, Michael Powell and Chetan Bettegowda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Allison Koenecke

17 papers receiving 495 citations

Hit Papers

Racial disparities in automated speech recognition 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Koenecke United States 6 228 70 54 45 45 20 518
Nicole Martinez‐Martin United States 12 60 0.3× 32 0.5× 12 0.2× 12 0.3× 73 1.6× 23 630
Karthik Dinakar United States 10 407 1.8× 61 0.9× 11 0.2× 5 0.1× 166 3.7× 20 697
Pierpaolo Vittorini Italy 11 70 0.3× 20 0.3× 5 0.1× 9 0.2× 21 0.5× 56 340
Krzysztof Fiok United States 11 145 0.6× 12 0.2× 7 0.1× 3 0.1× 18 0.4× 25 423
Erin D. Foster United States 7 56 0.2× 5 0.1× 11 0.2× 14 0.3× 45 1.0× 13 577
Anna Markella Antoniadi Ireland 9 248 1.1× 27 0.4× 2 0.0× 19 0.4× 18 0.4× 12 499
Chenchen Liu China 12 91 0.4× 6 0.1× 3 0.1× 19 0.4× 45 1.0× 33 527
Caio C. Vieira Machado United Kingdom 6 145 0.6× 131 1.9× 5 0.1× 3 0.1× 73 1.6× 9 595
Steven Bedrick United States 17 406 1.8× 3 0.0× 9 0.2× 65 1.4× 28 0.6× 64 978
Andrew Nam United States 5 224 1.0× 61 0.9× 1 0.0× 5 0.1× 37 0.8× 10 431

Countries citing papers authored by Allison Koenecke

Since Specialization
Citations

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

Fields of papers citing papers by Allison Koenecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Koenecke

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

All Works

20 of 20 papers shown
1.
Lyu, Hanjia, Jiebo Luo, Jian Kang, & Allison Koenecke. (2025). Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese. 2815–2846. 1 indexed citations
2.
Koenecke, Allison, et al.. (2025). ACM TechBrief: Automated Speech Recognition.
5.
Kizilcec, René F., et al.. (2025). A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms. 2025–2039.
6.
Huynh, Benjamin Q., Elizabeth T. Chin, Allison Koenecke, et al.. (2024). Mitigating allocative tradeoffs and harms in an environmental justice data tool. Nature Machine Intelligence. 6(2). 187–194. 4 indexed citations
7.
Goldberg, Rachel, et al.. (2024). Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1556–1566. 2 indexed citations
8.
Koenecke, Allison, et al.. (2024). Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech. The Laryngoscope. 135(1). 191–197. 6 indexed citations
9.
Koenecke, Allison, et al.. (2023). Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. arXiv (Cornell University). 1531–1552. 2 indexed citations
10.
Papakyriakopoulos, Orestis, et al.. (2023). Augmented Datasheets for Speech Datasets and Ethical Decision-Making. arXiv (Cornell University). 881–904. 10 indexed citations
11.
Koenecke, Allison, et al.. (2023). Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. Proceedings of the International AAAI Conference on Web and Social Media. 17. 494–506. 4 indexed citations
12.
Xiong, Ruoxuan, Allison Koenecke, Michael Powell, et al.. (2023). Federated causal inference in heterogeneous observational data. Statistics in Medicine. 42(24). 4418–4439. 15 indexed citations
13.
Zamfirescu-Pereira, J.D., et al.. (2022). Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis. 799–813. 1 indexed citations
14.
Powell, Michael, Allison Koenecke, James Brian Byrd, et al.. (2021). Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study. Frontiers in Pharmacology. 12. 700776–700776. 4 indexed citations
15.
Rose, Liam, Laura A. Graham, Allison Koenecke, et al.. (2021). The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality From COVID-19. Frontiers in Medicine. 8. 637647–637647. 21 indexed citations
16.
Konig, Maximilian F., Michael Powell, Verena Staedtke, et al.. (2020). Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists. Journal of Clinical Investigation. 130(7). 3345–3347. 87 indexed citations
17.
Koenecke, Allison, Andrew Nam, Zion Mengesha, et al.. (2020). Racial disparities in automated speech recognition. Proceedings of the National Academy of Sciences. 117(14). 7684–7689. 353 indexed citations breakdown →
18.
Powell, Michael, Allison Koenecke, Nicole Fischer, et al.. (2020). Alpha-1 adrenergic receptor antagonists prevent acute respiratory distress syndrome and death: implications for Coronavirus disease 2019. Europe PMC (PubMed Central). 2 indexed citations
19.
Koenecke, Allison, Michael Powell, Ruoxuan Xiong, et al.. (2020). Alpha-1 Adrenergic Receptor Antagonists to Prevent Acute Respiratory Distress Syndrome and Death from Cytokine Storm Syndrome. RePEc: Research Papers in Economics. 1 indexed citations
20.
Koenecke, Allison. (2019). A game theoretic setting of capitation versus fee-for-service payment systems. PLoS ONE. 14(10). e0223672–e0223672. 3 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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