Daniel Keren

2.5k citations
97 papers · 1.9k · h-index 25

Impact in

Papers in

Daniel Keren

88 papers receiving 1.8k citations

Peers

Daniel Keren
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 807
  • Computer Networks and Communications 434
  • Computer Graphics and Computer-Aided Design 65
  • Computational Mechanics 244
  • Automotive Engineering 78
Replace Qifa Ke with:
Qifa Ke United States
Stephen T. Barnard United States
Ludwig Schmidt United States
David L. Neuhoff United States
Jonathan Ragan‐Kelley United States
David F. McAllister United States
Chi Sing Andrew LEUNG Hong Kong
Pedro M. Q. Aguiar Portugal
Roy Jonker Netherlands
Thrasyvoulos N. Pappas United States
Daniel Keren relative to Qifa Ke United States Qifa Ke's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Keren

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Keren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003230
2 1994164
3 200693
4 200779
5 199677
6 200168
7 199960
8 200155
9 200652
10 200351
11 201147
12 201342
13 200641
14 201338
15 199436
16 199936
17 200836
18 200531
19 201431
20 201028

About Daniel Keren

Daniel Keren is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mechanics, Artificial Intelligence and Mathematical Physics, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (19 papers), Advanced Image and Video Retrieval Techniques (16 papers), 3D Shape Modeling and Analysis (12 papers), Image and Object Detection Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers), Advanced Vision and Imaging (8 papers), Numerical methods in inverse problems (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (807 citations), Computer Networks and Communications (434 citations), Computer Graphics and Computer-Aided Design (65 citations), Computational Mechanics (244 citations) and Automotive Engineering (78 citations). Daniel Keren has collaborated with scholars based in Israel, United States and Belgium. Frequent co-authors include Assaf Schuster, Izchak Sharfman, David B. Cooper, J. Subrahmonia, Rafael Brada, Bezalel Peleg, Margarita Osadchy, Craig Gotsman, Michael Werman and Ehud Rivlin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, Journal of Mathematical Imaging and Vision, Proceedings of the VLDB Endowment and Sensors.

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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