Steven J. Esses

14 total papers · 893 total citations
12 papers, 698 citations indexed

About

Steven J. Esses is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Steven J. Esses has authored 12 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Steven J. Esses's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers) and Radiation Dose and Imaging (2 papers). Steven J. Esses is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers) and Radiation Dose and Imaging (2 papers). Steven J. Esses collaborates with scholars based in United States, Israel and France. Steven J. Esses's co-authors include Jacob Sosna, Phillip M. Berman, Allan I. Bloom, Andrew B. Rosenkrantz, Samir S. Taneja, Miriam Mérad, María L. Allende, Levi Ledgerwood, Florent Ginhoux and Sérgio A. Lira and has published in prestigious journals such as Nature Immunology, Radiology and American Journal of Roentgenology.

In The Last Decade

Steven J. Esses

12 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Steven J. Esses	171	151	148	146	109	12	698
M.A. Choti	139 0.8×	128 0.8×	177 1.2×	75 0.5×	210 1.9×	29	736
Li Su	97 0.6×	207 1.4×	120 0.8×	40 0.3×	129 1.2×	21	630
Tobias Achenbach	147 0.9×	37 0.2×	63 0.4×	97 0.7×	146 1.3×	24	714
Maja Marolt Mušič	95 0.6×	279 1.8×	42 0.3×	93 0.6×	139 1.3×	24	741
Els L. van Persijn van Meerten	173 1.0×	72 0.5×	95 0.6×	145 1.0×	79 0.7×	13	577
Dejiang Yu	79 0.5×	210 1.4×	175 1.2×	43 0.3×	208 1.9×	20	695
Wen Zhu	105 0.6×	186 1.2×	55 0.4×	26 0.2×	237 2.2×	36	640
Andrew Strickland	41 0.2×	154 1.0×	48 0.3×	68 0.5×	346 3.2×	21	620
Petrousjka van den Tol	196 1.1×	190 1.3×	55 0.4×	62 0.4×	174 1.6×	23	763
Daphné Wallach	84 0.5×	40 0.3×	53 0.4×	310 2.1×	34 0.3×	14	673

Countries citing papers authored by Steven J. Esses

Since Specialization

Citations

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

Fields of papers citing papers by Steven J. Esses

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Esses. 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 Steven J. Esses. The network helps show where Steven J. Esses may publish in the future.

Co-authorship network of co-authors of Steven J. Esses

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Esses. A scholar is included among the top collaborators of Steven J. Esses 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 Steven J. Esses. Steven J. Esses 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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