Rafi Cohen

462 total citations
13 papers, 282 citations indexed

About

Rafi Cohen is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology. According to data from OpenAlex, Rafi Cohen has authored 13 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 2 papers in Media Technology. Recurrent topics in Rafi Cohen's work include Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (5 papers) and Image Processing and 3D Reconstruction (4 papers). Rafi Cohen is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (5 papers) and Image Processing and 3D Reconstruction (4 papers). Rafi Cohen collaborates with scholars based in Israel and United States. Rafi Cohen's co-authors include Noa Garnett, Dan Levi, Jihad El‐Sana, Klara Kedem, I. Dinstein, Ethan Fetaya, Shaul Oron, Jørgen K. Kanters, Ki H. Chon and Freddy Gabbay and has published in prestigious journals such as Applied Sciences, Methods of Information in Medicine and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Rafi Cohen

11 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rafi Cohen Israel	7	253	121	44	41	33	13	282
Yeongmin Ko South Korea	6	202 0.8×	175 1.4×	58 1.3×	54 1.3×	39 1.2×	11	267
J. Giebel Germany	5	289 1.1×	78 0.6×	50 1.1×	66 1.6×	15 0.5×	5	336
Noa Garnett Israel	4	223 0.9×	158 1.3×	28 0.6×	31 0.8×	56 1.7×	5	274
Gwenaëlle Toulminet France	9	294 1.2×	215 1.8×	39 0.9×	25 0.6×	29 0.9×	14	358
Peter Pinggera Germany	4	171 0.7×	62 0.5×	24 0.5×	44 1.1×	17 0.5×	5	236
Vinh Dinh Nguyen South Korea	10	225 0.9×	61 0.5×	47 1.1×	32 0.8×	9 0.3×	27	283
G. Piccioli Italy	6	259 1.0×	73 0.6×	91 2.1×	14 0.3×	26 0.8×	8	295
Zezhong Xu China	8	182 0.7×	41 0.3×	30 0.7×	19 0.5×	48 1.5×	28	247
Jakub Špaňhel Czechia	8	247 1.0×	84 0.7×	115 2.6×	41 1.0×	16 0.5×	17	315
Shaofei Huang China	9	424 1.7×	114 0.9×	50 1.1×	142 3.5×	16 0.5×	21	469

Countries citing papers authored by Rafi Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Rafi Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafi Cohen

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

All Works

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13 of 13 papers shown

1.

Gabbay, Freddy, et al.. (2022). RISC-V AND MACHINE LEARNING ACCELERATOR HACKATHON – ENHANCING UNDERGRADUATE STUDENTS’ PERCEPTIONS OF ESSENTIAL CHIP DESIGN SKILLS. INTED proceedings. 1. 2921–2926.

2.

Cohen, Rafi, et al.. (2020). Learning-Free Text Line Segmentation for Historical Handwritten Documents. Applied Sciences. 10(22). 8276–8276. 12 indexed citations

3.

Garnett, Noa, et al.. (2019). 3D-LaneNet: End-to-End 3D Multiple Lane Detection. 2921–2930. 127 indexed citations

4.

Cohen, Rafi, et al.. (2019). VML-MOC: Segmenting a Multiply Oriented and Curved Handwritten Text Line Dataset. 13–18. 7 indexed citations

5.

Garnett, Noa, et al.. (2017). Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. 198–205. 45 indexed citations

6.

Cohen, Rafi, et al.. (2015). Aligning transcript of historical documents using energy minimization. 6815. 266–270. 2 indexed citations

7.

Cohen, Rafi, et al.. (2015). Simplifying the reading of historical manuscripts. 826–830. 14 indexed citations

8.

Cohen, Rafi, et al.. (2015). Aligning transcript of historical documents using dynamic programming. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9402. 94020I–94020I. 6 indexed citations

9.

Cohen, Rafi, et al.. (2014). A Coarse-to-Fine Approach for Layout Analysis of Ancient Manuscripts. 140–145. 29 indexed citations

10.

Cohen, Rafi, et al.. (2013). Robust text and drawing segmentation algorithm for historical documents. 110–117. 30 indexed citations

11.

Cohen, Rafi, Klara Kedem, I. Dinstein, & Jihad El‐Sana. (2012). Occluded Character Restoration Using Active Contour with Shape Priors. 497–502. 6 indexed citations

12.

Cohen, Rafi, et al.. (2002). A dedicated multichip module automatic optical inspection system. 591. 51–55.

13.

Kanters, Jørgen K., et al.. (1997). Detection of “Noisy” Chaos in a Time Series. Methods of Information in Medicine. 36(04/05). 294–297. 4 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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