Benjamin Kompa

802 total citations · 1 hit paper
8 papers, 338 citations indexed

About

Benjamin Kompa is a scholar working on Artificial Intelligence, Molecular Biology and Health Informatics. According to data from OpenAlex, Benjamin Kompa has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Health Informatics. Recurrent topics in Benjamin Kompa's work include Artificial Intelligence in Healthcare and Education (2 papers), Intraocular Surgery and Lenses (1 paper) and Gene expression and cancer classification (1 paper). Benjamin Kompa is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), Intraocular Surgery and Lenses (1 paper) and Gene expression and cancer classification (1 paper). Benjamin Kompa collaborates with scholars based in United States and United Kingdom. Benjamin Kompa's co-authors include Andrew L. Beam, Jasper Snoek, David M. Levine, Ateev Mehrotra, Samuel G. Finlayson, Rudraksh Tuwani, Andrew Bate, Jeffery L. Painter, Paul Bain and Stephen Woloszynek and has published in prestigious journals such as PLoS ONE, Drug Safety and npj Digital Medicine.

In The Last Decade

Benjamin Kompa

7 papers receiving 334 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.

Second opinion needed: communicating uncertainty in medical machine learning

2021 212 citations Benjamin Kompa, Jasper Snoek et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Kompa United States	6	128	76	59	30	26	8	338
Hanyin Wang United States	11	272 2.1×	98 1.3×	110 1.9×	88 2.9×	12 0.5×	23	602
Yikuan Li United States	11	315 2.5×	110 1.4×	123 2.1×	76 2.5×	12 0.5×	21	606
Dave Van Veen United States	6	155 1.2×	122 1.6×	61 1.0×	36 1.2×	6 0.2×	10	356
Asad Aali United States	3	131 1.0×	109 1.4×	55 0.9×	35 1.2×	6 0.2×	6	268
Zfania Tom Korach United States	7	97 0.8×	74 1.0×	106 1.8×	25 0.8×	9 0.3×	9	294
Jean-Benoit Delbrouck United States	7	205 1.6×	141 1.9×	95 1.6×	59 2.0×	6 0.2×	13	359
Yaara Goldschmidt Israel	9	133 1.0×	46 0.6×	95 1.6×	54 1.8×	5 0.2×	15	339
Surabhi Datta United States	10	261 2.0×	79 1.0×	85 1.4×	133 4.4×	6 0.2×	19	483
André Carrington Canada	3	203 1.6×	100 1.3×	59 1.0×	23 0.8×	3 0.1×	8	352
Lin Guo China	13	98 0.8×	48 0.6×	159 2.7×	116 3.9×	17 0.7×	57	542

Countries citing papers authored by Benjamin Kompa

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Kompa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Kompa

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

8 of 8 papers shown

1.

Chen, Eric, Rudraksh Tuwani, Benjamin Kompa, et al.. (2025). Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy. npj Digital Medicine. 8(1). 277–277.

2.

Levine, David M., Rudraksh Tuwani, Benjamin Kompa, et al.. (2024). The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study. The Lancet Digital Health. 6(8). e555–e561. 39 indexed citations

3.

Kompa, Benjamin, Joe B. Hakim, Anil Palepu, et al.. (2022). Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review. Drug Safety. 45(5). 477–491. 41 indexed citations

4.

Kompa, Benjamin. (2021). Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. arXiv (Cornell University). 15 indexed citations

5.

Kompa, Benjamin, Jasper Snoek, & Andrew L. Beam. (2021). Second opinion needed: communicating uncertainty in medical machine learning. npj Digital Medicine. 4(1). 4–4. 212 indexed citations breakdown →

6.

Kompa, Benjamin, et al.. (2019). Learning a Latent Space of Highly Multidimensional Cancer Data. PubMed. 25. 379–390. 1 indexed citations

7.

Beam, Andrew L., Benjamin Kompa, Inbar Fried, et al.. (2018). Clinical Concept Embeddings Learned from Massive Sources of Medical Data.. arXiv (Cornell University). 17 indexed citations

8.

Pinsonneault, Julia K., et al.. (2017). Intronic SNP in ESR1 encoding human estrogen receptor alpha is associated with brain ESR1 mRNA isoform expression and behavioral traits. PLoS ONE. 12(6). e0179020–e0179020. 13 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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