Marcel P. Jackowski

2.9k citations
56 papers · 2.1k · h-index 22

Impact in

Papers in

Marcel P. Jackowski

55 papers receiving 2.1k citations

Peers

Marcel P. Jackowski
Comparison fields: 5 of 146
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Computational Mathematics 18
  • Cognitive Neuroscience 576
  • Psychiatry and Mental health 387
  • Biological Psychiatry 45
Replace Yiping P. Du with:
Yiping P. Du United States
Alain Pitiot United Kingdom
Kilian M. Pohl United States
Maolin Qiu United States
Angela Oatridge United Kingdom
Michael A. Chappell United Kingdom
Hidemasa Takao Japan
Yonggang Shi United States
Claude Lepage Canada
Nagesh Adluru United States
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Citations per year

Countries citing papers authored by Marcel P. Jackowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcel P. Jackowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel P. Jackowski. 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 Marcel P. Jackowski. The network helps show where Marcel P. Jackowski may publish in the future.

Co-authors

The 25 scholars most cited alongside Marcel P. Jackowski, 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 Marcel P. Jackowski Line = papers co-authored together Marcel P. Jackowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006230
2 2009168
3 2008164
4 1999161
5 2007127
6 2012127
7 2008116
8 200996
9 200494
10 200889
11 201570
12 200564
13 201264
14 201458
15 201053
16 200849
17 201343
18 200540
19 201839
20 201629

About Marcel P. Jackowski

Marcel P. Jackowski is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (23 papers), Medical Image Segmentation Techniques (13 papers), Cardiovascular Function and Risk Factors (8 papers), MRI in cancer diagnosis (7 papers), Functional Brain Connectivity Studies (6 papers), Medical Imaging Techniques and Applications (5 papers) and Bipolar Disorder and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Computational Mathematics (18 citations), Cognitive Neuroscience (576 citations), Psychiatry and Mental health (387 citations) and Biological Psychiatry (45 citations). Marcel P. Jackowski has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Lawrence H. Staib, R. Todd Constable, Xenophon Papademetris, Choukri Mekkaoui, David E. Sosnovik, Timothy G. Reese, Hirohito Okuda, Marcello DiStasio, Hilary P. Blumberg and Lara G. Chepenik. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Biological Psychiatry, Medical Image Analysis, PLoS ONE and Journal of Psychiatric Research.

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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