Haim Levkowitz

59 papers receiving 1.3k citations

Peers

Haim Levkowitz
Comparison fields: 5 of 134
  • Computer Vision and Pattern Recognition 957
  • Computer Graphics and Computer-Aided Design 148
  • Signal Processing 251
  • Artificial Intelligence 362
  • Ecological Modeling 33
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Citations per year

Countries citing papers authored by Haim Levkowitz

Since Specialization
Citations

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

Fields of papers citing papers by Haim Levkowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003349
2 1992215
3 2008208
4 1993129
5 200592
6 199767
7 199537
8 200631
9 201427
10 200425
11 199620
12 200219
13
Proceedings of the 1992 workshop on Volume visualization
199218
14 200417
15 198414
16
Color in computer graphic representation of two-dimensional parameter distributions
198812
17 199312
18 199511
19 200210
20 19909

About Haim Levkowitz

Haim Levkowitz is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Social Psychology, Cognitive Neuroscience and Artificial Intelligence, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Color Science and Applications (13 papers), Color perception and design (11 papers), Computer Graphics and Visualization Techniques (5 papers), Multimedia Communication and Technology (4 papers), Visual perception and processing mechanisms (4 papers), Medical Image Segmentation Techniques (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (957 citations), Computer Graphics and Computer-Aided Design (148 citations), Signal Processing (251 citations), Artificial Intelligence (362 citations) and Ecological Modeling (33 citations). Haim Levkowitz has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Maria Cristina Ferreira de Oliveira, Gábor T. Herman, Rosane Minghim, Luís Gustavo Nonato, Fernando V. Paulovich, Georges Grinstein, Eduardo Furtado Flores, Ronald M. Pickett, Milton Hirokazu Shimabukuro and Stuart Smith. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Imaging Systems and Technology, Computers & Graphics, European Journal of Operational Research and IEEE Computer Graphics and Applications.

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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