Jacob Pfau

428 total citations
4 papers, 175 citations indexed

About

Jacob Pfau is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacob Pfau has authored 4 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Oncology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jacob Pfau's work include Cutaneous Melanoma Detection and Management (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Jacob Pfau is often cited by papers focused on Cutaneous Melanoma Detection and Management (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Jacob Pfau collaborates with scholars based in United States, Canada and United Kingdom. Jacob Pfau's co-authors include Maria L. Wei, Albert T. Young, Mulin Xiong, Michael J. Keiser and Raj P. Fadadu and has published in prestigious journals such as Journal of Investigative Dermatology, npj Digital Medicine and Current Dermatology Reports.

In The Last Decade

Jacob Pfau

3 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob Pfau United States	3	90	66	37	34	28	4	175
Tobias E. Sangers Netherlands	10	123 1.4×	72 1.1×	71 1.9×	50 1.5×	58 2.1×	12	263
Zhuo Ran Cai United States	7	68 0.8×	71 1.1×	59 1.6×	29 0.9×	20 0.7×	19	228
David Coz United States	4	47 0.5×	127 1.9×	82 2.2×	14 0.4×	21 0.8×	5	362
Joanna Łudzik United States	8	156 1.7×	64 1.0×	10 0.3×	53 1.6×	70 2.5×	24	199
Zahra Mirikharaji Canada	5	85 0.9×	101 1.5×	12 0.3×	9 0.3×	29 1.0×	5	168
Haiwen Gui United States	6	27 0.3×	67 1.0×	82 2.2×	14 0.4×	10 0.4×	13	211
Ross D. Uthoff United States	6	25 0.3×	143 2.2×	25 0.7×	6 0.2×	6 0.2×	9	299
Daniel L. Recla United States	8	73 0.8×	236 3.6×	9 0.2×	5 0.1×	35 1.3×	8	344
Alceu Bissoto Brazil	4	61 0.7×	66 1.0×	7 0.2×	5 0.1×	22 0.8×	7	106
Trupti Kolur India	5	32 0.4×	135 2.0×	27 0.7×	3 0.1×	6 0.2×	8	292

Countries citing papers authored by Jacob Pfau

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Pfau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Pfau

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

All Works

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4 of 4 papers shown

1.

Pfau, Jacob, et al.. (2023). Self-Consistency of Large Language Models under Ambiguity. 89–105.

2.

Young, Albert T., et al.. (2021). Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models. npj Digital Medicine. 4(1). 10–10. 32 indexed citations

3.

Young, Albert T., Mulin Xiong, Jacob Pfau, Michael J. Keiser, & Maria L. Wei. (2020). Artificial Intelligence in Dermatology: A Primer. Journal of Investigative Dermatology. 140(8). 1504–1512. 131 indexed citations

4.

Xiong, Mulin, Jacob Pfau, Albert T. Young, & Maria L. Wei. (2019). Artificial Intelligence in Teledermatology. Current Dermatology Reports. 8(3). 85–90. 12 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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