Adler Perotte

79 total papers · 2.4k total citations
36 papers, 1.2k citations indexed

About

Adler Perotte is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Adler Perotte has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Molecular Biology. Recurrent topics in Adler Perotte's work include Machine Learning in Healthcare (10 papers), Topic Modeling (6 papers) and Advanced Causal Inference Techniques (4 papers). Adler Perotte is often cited by papers focused on Machine Learning in Healthcare (10 papers), Topic Modeling (6 papers) and Advanced Causal Inference Techniques (4 papers). Adler Perotte collaborates with scholars based in United States, South Korea and Australia. Adler Perotte's co-authors include George Hripcsak, Patrick Ryan, Noémie Elhadad, David J. Albers, Chunhua Weng, David M. Blei, Rajesh Ranganath, Amelia Averitt, Jamie S. Hirsch and David K. Vawdrey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Adler Perotte

32 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Adler Perotte 294 234 134 134 134 36 1.2k
Steven C. Bagley 151 0.5× 212 0.9× 58 0.4× 79 0.6× 143 1.1× 21 1.5k
Brett K. Beaulieu‐Jones 621 2.1× 166 0.7× 58 0.4× 169 1.3× 146 1.1× 33 1.4k
Hanzhang Xu 202 0.7× 238 1.0× 49 0.4× 71 0.5× 153 1.1× 80 1.4k
Antoine Neuraz 184 0.6× 380 1.6× 212 1.6× 74 0.6× 132 1.0× 62 1.2k
Christel Daniel 288 1.0× 423 1.8× 161 1.2× 337 2.5× 75 0.6× 69 1.3k
Nhan Do 207 0.7× 140 0.6× 44 0.3× 99 0.7× 84 0.6× 84 1.2k
Amos Folarin 160 0.5× 291 1.2× 91 0.7× 74 0.6× 68 0.5× 57 1.2k
Smadar Shilo 126 0.4× 242 1.0× 78 0.6× 97 0.7× 136 1.0× 41 1.4k
Kevin Chagin 154 0.5× 88 0.4× 39 0.3× 65 0.5× 187 1.4× 35 1.2k
Shmeylan Al Harbi 285 1.0× 74 0.3× 62 0.5× 167 1.2× 104 0.8× 25 1.4k

Countries citing papers authored by Adler Perotte

Since Specialization
Citations

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

Fields of papers citing papers by Adler Perotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adler Perotte

This figure shows the co-authorship network connecting the top 25 collaborators of Adler Perotte. A scholar is included among the top collaborators of Adler Perotte 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 Adler Perotte. Adler Perotte 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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