I. Dinstein

24.0k total citations · 1 hit paper
86 papers, 17.6k citations indexed

About

I. Dinstein is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, I. Dinstein has authored 86 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in I. Dinstein's work include Handwritten Text Recognition Techniques (18 papers), Image Processing and 3D Reconstruction (17 papers) and Image Retrieval and Classification Techniques (16 papers). I. Dinstein is often cited by papers focused on Handwritten Text Recognition Techniques (18 papers), Image Processing and 3D Reconstruction (17 papers) and Image Retrieval and Classification Techniques (16 papers). I. Dinstein collaborates with scholars based in Israel, United States and United Kingdom. I. Dinstein's co-authors include Robert M. Haralick, Karthikeyan Shanmugam, Gady Agam, Klara Kedem, Hugo Guterman, Boaz Lerner, Mayer Aladjem, Yitzhak Romem, R.M. Haralick and Jihad El‐Sana and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

I. Dinstein

81 papers receiving 16.4k citations

Hit Papers

Textural Features for Image Classification 1973 2026 1990 2008 1973 5.0k 10.0k 15.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I. Dinstein Israel 21 6.7k 3.7k 3.3k 3.0k 2.1k 86 17.6k
Karthikeyan Shanmugam United States 17 6.2k 0.9× 3.8k 1.0× 3.3k 1.0× 2.9k 1.0× 2.1k 1.0× 72 18.5k
Robert M. Haralick United States 31 10.9k 1.6× 4.6k 1.3× 3.7k 1.1× 4.0k 1.3× 2.4k 1.1× 139 24.0k
Nobuyuki Otsu Japan 14 12.5k 1.9× 3.5k 1.0× 3.5k 1.1× 4.4k 1.5× 1.6k 0.7× 74 31.9k
George Papandreou United States 21 10.7k 1.6× 4.5k 1.2× 2.0k 0.6× 2.4k 0.8× 518 0.2× 57 17.6k
Kevin Murphy United States 32 15.1k 2.3× 8.3k 2.3× 2.1k 0.6× 2.8k 0.9× 624 0.3× 77 24.7k
Andrew Rabinovich United States 12 18.1k 2.7× 10.0k 2.7× 3.6k 1.1× 3.1k 1.0× 698 0.3× 14 32.0k
Xiaojuan Qi China 43 10.7k 1.6× 4.8k 1.3× 2.7k 0.8× 2.2k 0.7× 506 0.2× 203 18.5k
Scott Reed United States 13 17.8k 2.7× 10.2k 2.8× 3.6k 1.1× 3.0k 1.0× 716 0.3× 25 31.8k
Baining Guo China 59 19.0k 2.8× 5.7k 1.5× 2.3k 0.7× 4.0k 1.3× 529 0.2× 255 30.8k
Yixuan Wei China 20 12.2k 1.8× 5.3k 1.4× 2.1k 0.6× 3.3k 1.1× 476 0.2× 50 21.9k

Countries citing papers authored by I. Dinstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of I. Dinstein

This figure shows the co-authorship network connecting the top 25 collaborators of I. Dinstein. A scholar is included among the top collaborators of I. Dinstein 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 I. Dinstein. I. Dinstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cohen, Rafi, et al.. (2015). Aligning transcript of historical documents using energy minimization. 6815. 266–270. 2 indexed citations
2.
Cohen, Rafi, Klara Kedem, I. Dinstein, & Jihad El‐Sana. (2012). Occluded Character Restoration Using Active Contour with Shape Priors. 497–502. 6 indexed citations
3.
Kedem, Klara, et al.. (2008). Adaptive shape prior for recognition and variational segmentation of degraded historical characters. Pattern Recognition. 42(12). 3348–3354. 24 indexed citations
4.
Kedem, Klara, et al.. (2007). Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents. International Journal on Document Analysis and Recognition (IJDAR). 9(2-4). 89–99. 54 indexed citations
5.
Dinstein, I., et al.. (2002). Detection of the presence of aliasing in digital image sequences. 1. 634–637. 1 indexed citations
6.
Dinstein, I., et al.. (2002). Polyphase back-projection filtering for resolution enhancement of image sequences. 4. 2171–2174. 4 indexed citations
7.
Dinstein, I., et al.. (2002). Local motion estimation and resolution enhancement of video sequences. 1. 539–541. 2 indexed citations
8.
Dinstein, I., et al.. (1997). A system for computerized classification of color textured perthite images. Pattern Recognition. 30(9). 1533–1545. 2 indexed citations
9.
Agam, Gady & I. Dinstein. (1995). <title>Two-dimensional shape decomposition based on structures in a fuzzy relation matrix</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2356. 186–197.
10.
Dinstein, I., et al.. (1995). Matching of partially occluded planar curves. Pattern Recognition. 28(2). 199–209. 14 indexed citations
11.
Dinstein, I., et al.. (1993). A prototype filter design approach to pyramid generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 15(12). 1233–1240. 7 indexed citations
12.
Aladjem, Mayer & I. Dinstein. (1992). Linear mappings of local data structures. Pattern Recognition Letters. 13(3). 153–159. 1 indexed citations
13.
Dinstein, I. & Gad M. Landau. (1991). Parallel computable contour based feature strings for 2-D shape recognition. Pattern Recognition Letters. 12(5). 299–306. 1 indexed citations
14.
Dinstein, I. & Gad M. Landau. (1990). <title>Parallel algorithms for contour extraction and coding</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1246. 156–161. 2 indexed citations
15.
Kopeika, Norman S., et al.. (1989). Prediction Of Image Quality Through The Atmosphere As A Function Of Weather Forecast. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1115. 266–266. 2 indexed citations
16.
Sanz, Jorge L. C. & I. Dinstein. (1987). Projection-Based Geometrical Feature Extraction for Computer Vision: Algorithms in Pipeline Architectures. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-9(1). 160–168. 31 indexed citations
17.
Dinstein, I., David W. L. Yen, & Myron Flickner. (1985). Handling Memory Overflow in Connected Component Labeling Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-7(1). 116–121. 4 indexed citations
18.
Dinstein, I.. (1977). DPCM prediction for NTSC composite signals. 7. 429–446. 8 indexed citations
19.
Haralick, Robert M., Karthikeyan Shanmugam, & I. Dinstein. (1973). Textural Features for Image Classification. IEEE Transactions on Systems Man and Cybernetics. SMC-3(6). 610–621. 16425 indexed citations breakdown →
20.
Haralick, Robert M. & I. Dinstein. (1971). An Iterative Clustering Procedure. IEEE Transactions on Systems Man and Cybernetics. SMC-1(3). 275–289. 7 indexed citations

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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