Soheil Darabi

1.5k total citations · 2 hit papers
11 papers, 984 citations indexed

About

Soheil Darabi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Astronomy and Astrophysics. According to data from OpenAlex, Soheil Darabi has authored 11 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 1 paper in Astronomy and Astrophysics. Recurrent topics in Soheil Darabi's work include Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Soheil Darabi is often cited by papers focused on Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Soheil Darabi collaborates with scholars based in United States and Germany. Soheil Darabi's co-authors include Pradeep Sen, Dan B Goldman, Eli Shechtman, Connelly Barnes, Nima Khademi Kalantari, Maziar Yaesoubi, Karl‐Heinz Glaßmeier, Marcus Magnor and Stephan Wenger and has published in prestigious journals such as ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

Soheil Darabi

11 papers receiving 959 citations

Hit Papers

Image melding 2012 2026 2016 2021 2012 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soheil Darabi United States 8 915 216 186 94 48 11 984
Joel Kronander Sweden 13 670 0.7× 242 1.1× 116 0.6× 120 1.3× 56 1.2× 28 788
A. Zomet Israel 11 905 1.0× 114 0.5× 363 2.0× 61 0.6× 64 1.3× 15 1.0k
Yosuke Bando Japan 11 380 0.4× 102 0.5× 190 1.0× 147 1.6× 81 1.7× 17 567
Giljoo Nam South Korea 10 345 0.4× 158 0.7× 101 0.5× 191 2.0× 110 2.3× 20 484
Thomas Annen Germany 9 734 0.8× 309 1.4× 197 1.1× 101 1.1× 23 0.5× 11 803
Nayar United States 5 271 0.3× 68 0.3× 81 0.4× 33 0.4× 37 0.8× 6 328
Merlin Nimier-David Switzerland 8 285 0.3× 273 1.3× 48 0.3× 167 1.8× 46 1.0× 12 492
YiChang Shih United States 9 613 0.7× 125 0.6× 137 0.7× 40 0.4× 28 0.6× 13 663
Chong Mou China 9 506 0.6× 74 0.3× 89 0.5× 111 1.2× 83 1.7× 18 676
Chenyang Lei Hong Kong 12 387 0.4× 69 0.3× 57 0.3× 28 0.3× 68 1.4× 27 493

Countries citing papers authored by Soheil Darabi

Since Specialization
Citations

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

Fields of papers citing papers by Soheil Darabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soheil Darabi

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

All Works

11 of 11 papers shown
1.
Kalantari, Nima Khademi, Eli Shechtman, Soheil Darabi, Dan B Goldman, & Pradeep Sen. (2014). Improving patch-based synthesis by learning patch masks. 31. 1–8. 4 indexed citations
2.
Kalantari, Nima Khademi, Eli Shechtman, Connelly Barnes, et al.. (2013). Patch-based high dynamic range video. ACM Transactions on Graphics. 32(6). 1–8. 79 indexed citations
3.
Darabi, Soheil, Eli Shechtman, Connelly Barnes, Dan B Goldman, & Pradeep Sen. (2012). Image melding. ACM Transactions on Graphics. 31(4). 1–10. 381 indexed citations breakdown →
4.
Sen, Pradeep, Nima Khademi Kalantari, Maziar Yaesoubi, et al.. (2012). Robust patch-based hdr reconstruction of dynamic scenes. ACM Transactions on Graphics. 31(6). 1–11. 289 indexed citations breakdown →
5.
Darabi, Soheil, Eli Shechtman, Connelly Barnes, Dan B Goldman, & Pradeep Sen. (2012). Image melding. ACM Transactions on Graphics. 31(4). 1–10. 4 indexed citations
6.
Sen, Pradeep & Soheil Darabi. (2012). On filtering the noise from the random parameters in Monte Carlo rendering. ACM Transactions on Graphics. 31(3). 1–15. 88 indexed citations
7.
Sen, Pradeep & Soheil Darabi. (2010). Compressive estimation for signal integration in rendering. Computer Graphics Forum. 29(4). 1355–1363. 5 indexed citations
8.
Wenger, Stephan, Soheil Darabi, Pradeep Sen, Karl‐Heinz Glaßmeier, & Marcus Magnor. (2010). Compressed sensing for aperture synthesis imaging. 1381–1384. 7 indexed citations
9.
Sen, Pradeep & Soheil Darabi. (2009). Compressive Dual Photography. Computer Graphics Forum. 28(2). 609–618. 76 indexed citations
10.
Sen, Pradeep & Soheil Darabi. (2009). Compressive image super-resolution. 1235–1242. 33 indexed citations
11.
Sen, Pradeep & Soheil Darabi. (2009). A novel framework for imaging using compressed sensing. 5. 2133–2136. 18 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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