I. Dinstein
- Media Technology top 0.05%
- Computer Vision and Pattern Recognition top 0.05%
- Handwritten Text Recognition Techniques 18
- Image Processing and 3D Reconstruction 17
- Image Retrieval and Classification Techniques 16
- Image and Signal Denoising Methods 13
- Advanced Image Processing Techniques 13
- Advanced Vision and Imaging 12
- Medical Image Segmentation Techniques 10
- Image and Object Detection Techniques 10
- Biophysics top 0.2%
- Artificial Intelligence top 0.2%
- Co-authors
- Robert M. HaralickKarthikeyan ShanmugamGady AgamKlara KedemBoaz LernerHugo GutermanMayer AladjemYitzhak Romem
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- Pattern Recognition (8 papers)Pattern Recognition Letters (7 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
I. Dinstein
81 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Media Technology 3.0k
- Computer Vision and Pattern Recognition 6.7k
- Radiology, Nuclear Medicine and Imaging 3.3k
- Biophysics 702
- Artificial Intelligence 3.7k
Countries citing papers authored by I. Dinstein
This map shows the geographic impact of I. Dinstein'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 I. Dinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Dinstein more than expected).
Fields of papers citing papers by I. Dinstein
This network shows the impact of papers produced by I. Dinstein. 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 I. Dinstein. The network helps show where I. Dinstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I. Dinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 2 | |
| 2 | 2012 | 6 | |
| 3 | 2008 | 24 | |
| 4 | 2005 | 0 | |
| 5 | 2002 | 4 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 9 | |
| 8 | 2000 | 4 | |
| 9 | 1997 | 2 | |
| 10 | 1996 | 3 | |
| 11 | 1995 | 14 | |
| 12 | 1993 | 7 | |
| 13 | 1992 | 1 | |
| 14 | 1990 | 2 | |
| 15 | 1989 | 2 | |
| 16 | 1987 | 31 | |
| 17 | 1985 | 4 | |
| 18 | DPCM prediction for NTSC composite signals | 1977 | 8 |
| 19 | Textural Features for Image Classificationbreakdown → | 1973 | 16425 |
| 20 | 1971 | 7 |
About I. Dinstein
I. Dinstein is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Signal Processing and Artificial Intelligence, having authored 86 papers that have together received 17.6k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (18 papers), Image Processing and 3D Reconstruction (17 papers), Image Retrieval and Classification Techniques (16 papers), Image and Signal Denoising Methods (13 papers), Advanced Image Processing Techniques (13 papers), Advanced Vision and Imaging (12 papers), Medical Image Segmentation Techniques (10 papers) and Image and Object Detection Techniques (10 papers). The work is most often cited by research in Media Technology (3.0k citations), Computer Vision and Pattern Recognition (6.7k citations), Radiology, Nuclear Medicine and Imaging (3.3k citations), Biophysics (702 citations) and Artificial Intelligence (3.7k citations). I. Dinstein has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Robert M. Haralick, Karthikeyan Shanmugam, Gady Agam, Klara Kedem, Boaz Lerner, Hugo Guterman, Mayer Aladjem, Yitzhak Romem, R.M. Haralick and Kenneth Rose. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Optical Engineering and Biotechnology and Bioengineering.
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.