D. Reisfeld

1.3k citations
20 papers · 760 indexed · h-index 10

Impact in

Papers in

D. Reisfeld

20 papers receiving 698 citations

Peers

D. Reisfeld
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 612
  • Computer Graphics and Computer-Aided Design 41
  • Media Technology 75
  • Human-Computer Interaction 29
  • Signal Processing 51
Replace Vishvjit S. Nalwa with:
Vishvjit S. Nalwa United States
Yvan G. Leclerc United States
Sharon Alpert Israel
Larry S. Shapiro United Kingdom
J. Ben-Arie United States
Haruo Asada United States
Travis McPhail United States
Atsushi Imiya Japan
Freeman United States
D. Reisfeld relative to Vishvjit S. Nalwa United States Vishvjit S. Nalwa's profile →
Citations per field
00.5×3.3×
Vishvjit S. Nalwa · 1×
Citations per year

Countries citing papers authored by D. Reisfeld

Since Specialization
Citations

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

Fields of papers citing papers by D. Reisfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201015
2 20071
3 200336
4 20022
5 20022
6 20025
7 200238
8 20011
9 20012
10 199839
11 19961
12 19963
13 199648
14 199611
15 199595
16 1995276
17 199417
18 1994163
19
Long-term results of percutaneous transluminal angioplasty for treatment of transplant renal artery stenosis
19901
20
Late follow-up of percutaneous transluminal angioplasty for treatment of transplant renal artery stenosis.
19894

About D. Reisfeld

D. Reisfeld is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Endocrine and Autonomic Systems, Aerospace Engineering and Radiation, having authored 20 papers that have together received 760 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Face and Expression Recognition (6 papers), Face recognition and analysis (3 papers), Remote-Sensing Image Classification (3 papers), Infrared Target Detection Methodologies (3 papers), CCD and CMOS Imaging Sensors (2 papers), Organ Donation and Transplantation (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (612 citations), Computer Graphics and Computer-Aided Design (41 citations), Media Technology (75 citations), Human-Computer Interaction (29 citations) and Signal Processing (51 citations). D. Reisfeld has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Yehezkel Yeshurun, Haim J. Wolfson, Nur Arad, Yaara Yeshurun, Nira Dyn, Nathan Intrator, Yaffa Yeshurun, Yoram Bonneh, Hila Sberro and Offer Amir. Their work appears in journals such as Pattern Recognition Letters, Journal of Clinical Oncology, Clinical Cardiology, Computer Graphics Forum and The Annals of Thoracic 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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