Nur Arad

512 total citations
12 papers, 360 citations indexed

About

Nur Arad is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Social Psychology. According to data from OpenAlex, Nur Arad has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Social Psychology. Recurrent topics in Nur Arad's work include Advanced Numerical Analysis Techniques (3 papers), Medical Image Segmentation Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Nur Arad is often cited by papers focused on Advanced Numerical Analysis Techniques (3 papers), Medical Image Segmentation Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Nur Arad collaborates with scholars based in Israel and United States. Nur Arad's co-authors include D. Reisfeld, Nira Dyn, Yaara Yeshurun, Yuval Shavitt, Craig Gotsman, Andrew Fitzhugh, Doron Shaked, Gershon Elber, Irwin Sobel and Yehezkel Yeshurun and has published in prestigious journals such as IEEE Transactions on Image Processing, Neural Networks and IEEE Transactions on Mobile Computing.

In The Last Decade

Nur Arad

12 papers receiving 325 citations

Peers

Nur Arad
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 248
  • Computational Mechanics 86
  • Computer Graphics and Computer-Aided Design 51
  • Computer Networks and Communications 37
  • Atomic and Molecular Physics, and Optics 26
Replace Clément Menier with:
Clément Menier France
Koichi Niijima Japan
Mark S. Peercy United States
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Julien Martel Switzerland
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Stefan Hauswiesner Austria
Boris Ajdin Germany
Clément Menier France View profile →
Citations per field, relative to Nur Arad
Nur Arad · 1×
Citations per year, relative to Nur Arad
Nur Arad · 1×

Countries citing papers authored by Nur Arad

Since Specialization
Citations

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

Fields of papers citing papers by Nur Arad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nur Arad

This figure shows the co-authorship network connecting the top 25 collaborators of Nur Arad. A scholar is included among the top collaborators of Nur Arad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nur Arad. Nur Arad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 36
2 2
3
Color diffusion Error-diffusion for color halftones
12
4 23
5 3
6 13
7 8
8 95
9 1
10 163
11 3
12 1

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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