Jacob Levman

847 citations
33 papers · 608 · h-index 12

Impact in

Papers in

Jacob Levman

32 papers receiving 602 citations

Peers

Jacob Levman
Comparison fields: 5 of 129
  • Health Informatics 37
  • Radiology, Nuclear Medicine and Imaging 196
  • Health Information Management 20
  • Artificial Intelligence 153
  • Cognitive Neuroscience 76
Replace Matthias Wilms with:
Matthias Wilms Canada
Murat Seçkin Ayhan Germany
Giacomo Donato Cascarano Italy
Joon Yul Choi South Korea
Tânia Pereira Portugal
Vidur Mahajan India
Bilwaj Gaonkar United States
Gang Yu China
Joseph Barfett Canada
Pauline Mouchès Canada
Jacob Levman relative to Matthias Wilms Canada Matthias Wilms's profile →
Citations per field
00.5×1.5×
Matthias Wilms · 1×
Citations per year

Countries citing papers authored by Jacob Levman

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Levman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jacob Levman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacob Levman Line = papers co-authored together Jacob Levman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019205
2 200889
3 202039
4 201836
5 201224
6 202223
7 201521
8 201120
9 201920
10 202117
11 200916
12 201415
13 20229
14 20219
15 20109
16 20237
17 20137
18 20166
19 20215
20 20225

About Jacob Levman

Jacob Levman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 608 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Functional Brain Connectivity Studies (7 papers), Autism Spectrum Disorder Research (6 papers), AI in cancer detection (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Gene expression and cancer classification (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (196 citations), Health Information Management (20 citations), Artificial Intelligence (153 citations) and Cognitive Neuroscience (76 citations). Jacob Levman has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Anne L. Martel, Petrina A. Causer, Pascal N. Tyrrell, Emi Takahashi, Indranil Balki, Alan R. Moody, Dehan Kong, Ángel García‐Pedrero, Blaž Meden and Žiga Emeršič. Their work appears in journals such as International Journal of Developmental Neuroscience, Journal of Digital Imaging, Frontiers in Neuroscience, Academic Radiology and International Journal of Computer Assisted Radiology and Surgery.

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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