Steven Pieper

1.8k citations
21 papers · 1.1k · h-index 13

Impact in

Papers in

Steven Pieper

20 papers receiving 1.1k citations

Peers

Steven Pieper
Comparison fields: 5 of 123
  • Radiology, Nuclear Medicine and Imaging 311
  • Computer Graphics and Computer-Aided Design 46
  • Computational Mathematics 7
  • Computer Vision and Pattern Recognition 236
  • Neurology 112
Replace Frans M. Vos with:
Frans M. Vos Netherlands
R. Kikinis United States
Yakang Dai China
Anthony J. Sherbondy United States
Jasjit S. Suri United States
Jan Klein Germany
Arya Nabavi Germany
Horst K. Hahn Germany
Marta Kersten‐Oertel Canada
Sanjiv Bhatia United States
Steven Pieper relative to Frans M. Vos Netherlands Frans M. Vos's profile →
Citations per field
00.5×1.5×
Frans M. Vos · 1×
Citations per year

Countries citing papers authored by Steven Pieper

Since Specialization
Citations

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

Fields of papers citing papers by Steven Pieper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005305
2 2006238
3 200883
4 201078
5 201269
6 200566
7 201164
8 199255
9 199549
10 199028
11 201423
12 199123
13 202322
14 20058
15
Surgery, virtual reality, and the future.
20136
16 19946
17 20243
18 19962
19 20212
20 20082

About Steven Pieper

Steven Pieper is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery, Control and Systems Engineering and Artificial Intelligence, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Surgical Simulation and Training (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), AI in cancer detection (3 papers), Medical Image Segmentation Techniques (2 papers), Human Motion and Animation (2 papers), Anatomy and Medical Technology (2 papers), Scientific Computing and Data Management (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (311 citations), Computer Graphics and Computer-Aided Design (46 citations), Computational Mathematics (7 citations), Computer Vision and Pattern Recognition (236 citations) and Neurology (112 citations). Steven Pieper has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include R. Kikinis, Michael Halle, W. J. Schroeder, Bill Lorensen, Joseph M. Rosen, Ron Kikinis, David Zeltzer, Donald R. Laub, Alexandra J. Golby and Douglas N. Greve. Their work appears in journals such as Nature Communications, Schizophrenia Research, Journal of neurosurgery, 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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