Its'Hak Dinstein

24.6k citations

95 papers · 19.9k · 1 hit paper · h-index 21

Impact in

Computer Vision and Pattern Recognition top 0.05%
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
Media Technology top 0.05%
- Remote-Sensing Image Classification

Papers in

Computer Vision and Pattern Recognition 78
- Digital Image Processing Techniques 26
- Handwritten Text Recognition Techniques 22
- Image Retrieval and Classification Techniques 12
- Advanced Image Processing Techniques 10
- Advanced Data Compression Techniques 6
Media Technology 8

Co-authors: Robert M. Haralick (2 shared papers)Gady Agam B (12 shared papers)Klara Kedem (17 shared papers)Hugo Guterman (8 shared papers)Boaz Lerner (8 shared papers)Jihad El‐Sana (10 shared papers)Mayer E. Aladjem (5 shared papers)R.M. Haralick (1 shared paper)
Journals: Pattern Recognition (8 papers)Pattern Recognition Letters (7 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Optical Engineering (4 papers)IEEE Transactions on Communications (2 papers)
Partner nations: Israel United States United Kingdom

In The Last Decade

Its'Hak Dinstein

90 papers receiving 18.7k citations

Its'Hak Dinstein's Hit Papers

align trajectories log scale

Textural Features for Image Classification 1973 · 18.5k citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

1973 IEEE Transactions on Systems Man and Cybernetics

Peers

Countries citing papers authored by Its'Hak Dinstein

Since Specialization

Citations

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

Fields of papers citing papers by Its'Hak Dinstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Its'Hak 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 Its'Hak Dinstein. The network helps show where Its'Hak Dinstein may publish in the future.

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Textural Features for Image Classification IEEE Transactions on Systems Man and Cybernetics ·Robert M. Haralick, Its'Hak Dinstein +1 other Hit paper breakdown →	1973	18511
2	Geometric separation of partially overlapping nonrigid objects applied to automatic chromosome classification IEEE Transactions on Pattern Analysis and Machine Intelligence ·Gady Agam B, Its'Hak Dinstein	1997	112
3	New maximum likelihood motion estimation schemes for noisy ultrasound images Pattern Recognition ·Boaz Cohen, Its'Hak Dinstein	2002	94
4	A comparative study of neural network based feature extraction paradigms Pattern Recognition Letters ·Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'Hak Dinstein	1999	68
5	Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents International Journal on Document Analysis and Recognition (IJDAR) ·Itay Bar-Yosef, Isaac Beckman, Klara Kedem, Its'Hak Dinstein	2007	65
6	Line Segmentation for Degraded Handwritten Historical Documents Proceedings of the International Conference on Document Analysis and Recognition ·Itay Bar-Yosef, Nate Hagbi, Klara Kedem, Its'Hak Dinstein	2009	56
7	Optimal polygonal approximation of digital curves Pattern Recognition ·Arie Pikaz, Its'Hak Dinstein	1995	50
8	An algorithm for polygonal approximation based on iterative point elimination Pattern Recognition Letters ·Arie Pikaz, Its'Hak Dinstein	1995	50
9	Medial axis transform-based features and a neural network for human chromosome classification Pattern Recognition ·Boaz Lerner, Hugo Guterman, Its'Hak Dinstein, Yitzhak Romem	1995	47
10	A spatial clustering procedure for multi-image data IEEE Transactions on Circuits and Systems ·R.M. Haralick, Its'Hak Dinstein	1975	44
11	Pitting corrosion evaluation by computer image processing Corrosion Science ·D. Itzhak, Its'Hak Dinstein, T. Zilberberg	1981	42
12	A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis IEEE Transactions on Signal Processing ·Boaz Lerner, Hugo Guterman, Its'Hak Dinstein	1998	41
13	DCT/DST alternate-transform image coding IEEE Transactions on Communications ·Kenneth H. Rose, A. Heiman, Its'Hak Dinstein	1990	39
14	Robust text and drawing segmentation algorithm for historical documents Rafi Cohen, Abedelkadir Asi, Klara Kedem, Jihad El‐Sana, Its'Hak Dinstein	2013	38
15	A Coarse-to-Fine Approach for Layout Analysis of Ancient Manuscripts International Conference on Frontiers in Handwriting Recognition ·Abedelkadir Asi, Rafi Cohen, Klara Kedem, Jihad El‐Sana, Its'Hak Dinstein	2014	36
16	Projection-Based Geometrical Feature Extraction for Computer Vision: Algorithms in Pipeline Architectures IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jorge L. C. Sanz, Its'Hak Dinstein	1987	33
17	Classification of hebrew calligraphic handwriting styles: preliminary results Klara Kedem, Its'Hak Dinstein, Malachi Beit-Arié +2 others	2004	28
18	Using simple decomposition for smoothing and feature point detection of noisy digital curves IEEE Transactions on Pattern Analysis and Machine Intelligence ·Arie Pikaz, Its'Hak Dinstein	1994	25
19	Adaptive shape prior for recognition and variational segmentation of degraded historical characters Pattern Recognition ·Itay Bar-Yosef, Alik Mokeichev, Klara Kedem, Its'Hak Dinstein, Uri Ehrlich	2008	25
20	Feature extraction by neural network nonlinear mapping for pattern classification Proceedings - International Conference on Pattern Recognition ·Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'Hak Dinstein, Yitzhak Romem	1996	24

About Its'Hak Dinstein

Its'Hak Dinstein is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biophysics, Signal Processing and Artificial Intelligence, having authored 95 papers that have together received 19.9k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (26 papers), Handwritten Text Recognition Techniques (22 papers), Image Retrieval and Classification Techniques (12 papers), Advanced Image Processing Techniques (10 papers), Neural Networks and Applications (7 papers), Cell Image Analysis Techniques (7 papers), Advanced Data Compression Techniques (6 papers) and Video Coding and Compression Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.2k citations), Media Technology (2.7k citations), Radiology, Nuclear Medicine and Imaging (3.5k citations), Industrial and Manufacturing Engineering (977 citations) and Biophysics (673 citations). Its'Hak Dinstein has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Robert M. Haralick, Gady Agam B, Klara Kedem, Hugo Guterman, Boaz Lerner, Jihad El‐Sana, Mayer E. Aladjem, R.M. Haralick, Yitzhak Romem and Rafi Cohen. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Optical Engineering and IEEE Transactions on Communications.

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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Its'Hak Dinstein

Its'Hak Dinstein's Hit Papers

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About Its'Hak Dinstein

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