Allison Koenecke

47 total papers · 1.0k total citations
18 papers, 507 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 18 papers receiving a total of 507 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), Speech Recognition and Synthesis (3 papers) and Advanced Causal Inference Techniques (3 papers). Allison Koenecke is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Speech Recognition and Synthesis (3 papers) and Advanced Causal Inference Techniques (3 papers). Allison Koenecke collaborates with scholars based in United States. Allison Koenecke's co-authors include Sharad Goel, Andrew Nam, Zion Mengesha, John R. Rickford, Dan Jurafsky, Susan Athey, Michael Powell, Joshua T Vogelstein, Ruoxuan Xiong and Maximilian F. Konig 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 487 citations

Hit Papers

Racial disparities in aut... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Allison Koenecke 222 67 54 45 45 18 507
Nicole Martinez‐Martin 59 0.3× 30 0.4× 11 0.2× 12 0.3× 72 1.6× 23 605
Chenchen Liu 89 0.4× 6 0.1× 3 0.1× 19 0.4× 43 1.0× 31 503
Erin D. Foster 56 0.3× 5 0.1× 11 0.2× 14 0.3× 45 1.0× 13 567
Andrew Reece 98 0.4× 19 0.3× 2 0.0× 45 1.0× 104 2.3× 15 545
Nabi Nazari 79 0.4× 13 0.2× 3 0.1× 19 0.4× 62 1.4× 31 460
Michael D. Hills 16 0.1× 4 0.1× 26 0.5× 17 0.4× 44 1.0× 15 555
Susel Góngora Alonso 123 0.6× 8 0.1× 7 0.1× 4 0.1× 22 0.5× 18 558
Zakariya Sheikh 174 0.8× 7 0.1× 52 1.0× 6 0.1× 177 3.9× 15 565
Gerko Vink 60 0.3× 63 0.9× 5 0.1× 3 0.1× 53 1.2× 26 575
Anna Markella Antoniadi 244 1.1× 27 0.4× 2 0.0× 19 0.4× 18 0.4× 12 488

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

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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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