Jared N. Schwartz

30 total papers · 13.4k total citations
14 papers, 324 citations indexed

About

Jared N. Schwartz is a scholar working on Epidemiology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jared N. Schwartz has authored 14 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jared N. Schwartz's work include AI in cancer detection (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Infectious Diseases and Mycology (2 papers). Jared N. Schwartz is often cited by papers focused on AI in cancer detection (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Infectious Diseases and Mycology (2 papers). Jared N. Schwartz collaborates with scholars based in United States. Jared N. Schwartz's co-authors include Alan G. Bartel, Yihong Kong, Donald B. Hackel, Gordon K. Klintworth, Charles A. Daniels, Elizabeth A. Chlipala, M. Elizabeth Hammond, Daniel F. Hayes, Anil V. Parwani and Antonio C. Wolff and has published in prestigious journals such as Journal of Clinical Oncology, The American Journal of Cardiology and The Journal of Pediatrics.

In The Last Decade

Jared N. Schwartz

14 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Jared N. Schwartz	132	105	80	63	56	14	324
Sih‐Shiang Huang	88 0.7×	41 0.4×	58 0.7×	71 1.1×	16 0.3×	22	303
Yan Li	29 0.2×	122 1.2×	84 1.1×	50 0.8×	65 1.2×	20	294
Juliette Djadi‐Prat	38 0.3×	88 0.8×	23 0.3×	57 0.9×	33 0.6×	20	346
Jianghao Liu	86 0.7×	38 0.4×	31 0.4×	35 0.6×	117 2.1×	12	349
Johs. Bøe	47 0.4×	55 0.5×	14 0.2×	43 0.7×	25 0.4×	15	251
Doğan Selçuk	72 0.5×	108 1.0×	42 0.5×	57 0.9×	60 1.1×	22	329
Narges Ansari	25 0.2×	82 0.8×	12 0.1×	157 2.5×	139 2.5×	22	340
Hans van den Broek	49 0.4×	92 0.9×	79 1.0×	68 1.1×	24 0.4×	17	330
Giuliana Giacobbe	234 1.8×	56 0.5×	7 0.1×	14 0.2×	67 1.2×	19	347
J. Kreula	45 0.3×	74 0.7×	29 0.4×	22 0.3×	15 0.3×	14	296

Countries citing papers authored by Jared N. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Jared N. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared N. Schwartz. 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 Jared N. Schwartz. The network helps show where Jared N. Schwartz may publish in the future.

Co-authorship network of co-authors of Jared N. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Jared N. Schwartz. A scholar is included among the top collaborators of Jared N. Schwartz 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 Jared N. Schwartz. Jared N. Schwartz 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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