Daniel Raviv

732 citations
76 papers · 372 · h-index 10

Impact in

Papers in

Daniel Raviv

64 papers receiving 348 citations

Peers

Daniel Raviv
Comparison fields: 5 of 77
  • Architecture 28
  • Media Technology 82
  • Computer Vision and Pattern Recognition 159
  • Computer Graphics and Computer-Aided Design 20
  • Automotive Engineering 40
Replace El‐Sayed Aziz with:
El‐Sayed Aziz United States
John Sarik United States
Rachid Oulad Haj Thami Morocco
Shigeki Yokoi Japan
Takami Yasuda Japan
Gerard T. McKee United Kingdom
Suzana Uran Slovenia
Tianwei Wang China
C. Greg Jensen United States
Ruihang Chu Hong Kong
Daniel Raviv relative to El‐Sayed Aziz United States El‐Sayed Aziz's profile →
Citations per field
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El‐Sayed Aziz · 1×
Citations per year

Countries citing papers authored by Daniel Raviv

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Raviv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniel Raviv, 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 Raviv Line = papers co-authored together Daniel Raviv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198932
2 199921
3 200220
4 199420
5 199615
6 200813
7 201813
8 201712
9 199510
10 20199
11
CREATING ENTREPRENEURIAL UNIVERSITY
20138
12 19928
13 20068
14 20007
15 20197
16 19987
17 20207
18 19996
19 20136
20 20176

About Daniel Raviv

Daniel Raviv is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Architecture, Automotive Engineering and Computer Networks and Communications, having authored 76 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (25 papers), Engineering Education and Pedagogy (13 papers), Autonomous Vehicle Technology and Safety (9 papers), Image Processing Techniques and Applications (8 papers), Optical measurement and interference techniques (7 papers), Robotic Path Planning Algorithms (7 papers), Engineering Education and Curriculum Development (6 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Architecture (28 citations), Media Technology (82 citations), Computer Vision and Pattern Recognition (159 citations), Computer Graphics and Computer-Aided Design (20 citations) and Automotive Engineering (40 citations). Daniel Raviv has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Martin Herman, Y.-H. Pao, Kenneth A. Loparo, Srivatsan Krishnan, Justin Baker, D. Faiman, Ionut Cardei, Mihaela Cardei, Jason O. Hallstrom and Murray Petrie. Their work appears in journals such as Pattern Recognition, Computer Vision and Image Understanding, Desalination, IEEE Transactions on Robotics and Automation and Energy Policy.

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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