Selim Esedoḡlu

5.4k total citations · 3 hit papers
41 papers, 3.2k citations indexed

About

Selim Esedoḡlu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Selim Esedoḡlu has authored 41 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Mechanics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Selim Esedoḡlu's work include Medical Image Segmentation Techniques (11 papers), Image and Signal Denoising Methods (10 papers) and Advanced Mathematical Modeling in Engineering (7 papers). Selim Esedoḡlu is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Image and Signal Denoising Methods (10 papers) and Advanced Mathematical Modeling in Engineering (7 papers). Selim Esedoḡlu collaborates with scholars based in United States, Canada and France. Selim Esedoḡlu's co-authors include Tony F. Chan, Mila Nikolova, Stanley Osher, Xavier Bresson, Jianhong Shen, Pierre Vandergheynst, Jean‐Philippe Thiran, Andy M. Yip, Kang-Yu Ni and Riccardo March and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and International Journal of Computer Vision.

In The Last Decade

Selim Esedoḡlu

39 papers receiving 2.9k citations

Hit Papers

Algorithms for Finding Global Minimizers of Image Segment... 2005 2026 2012 2019 2006 2007 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Selim Esedoḡlu United States 20 2.4k 921 478 322 300 41 3.2k
Jianhong Shen United States 21 3.5k 1.5× 1.1k 1.2× 623 1.3× 206 0.6× 288 1.0× 68 4.5k
Joachim Weickert Germany 18 2.8k 1.2× 652 0.7× 670 1.4× 573 1.8× 199 0.7× 39 3.9k
Laurent Demanet United States 21 1.8k 0.8× 639 0.7× 753 1.6× 259 0.8× 162 0.5× 74 3.5k
Jayant Shah United States 12 2.7k 1.1× 689 0.7× 488 1.0× 391 1.2× 305 1.0× 30 3.8k
Guy Gilboa Israel 16 2.1k 0.9× 779 0.8× 788 1.6× 229 0.7× 336 1.1× 48 2.9k
Xavier Bresson Switzerland 26 2.4k 1.0× 900 1.0× 573 1.2× 528 1.6× 161 0.5× 65 3.4k
Jean–François Aujol France 26 1.9k 0.8× 736 0.8× 629 1.3× 153 0.5× 265 0.9× 81 2.4k
Jérôme Darbon United States 18 1.1k 0.5× 1.0k 1.1× 242 0.5× 233 0.7× 222 0.7× 58 2.5k
Mila Nikolova France 28 3.3k 1.4× 2.0k 2.1× 1.0k 2.1× 419 1.3× 543 1.8× 74 4.5k
Coloma Ballester Spain 17 3.4k 1.4× 582 0.6× 726 1.5× 124 0.4× 157 0.5× 41 4.1k

Countries citing papers authored by Selim Esedoḡlu

Since Specialization
Citations

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

Fields of papers citing papers by Selim Esedoḡlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selim Esedoḡlu

This figure shows the co-authorship network connecting the top 25 collaborators of Selim Esedoḡlu. A scholar is included among the top collaborators of Selim Esedoḡlu 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 Selim Esedoḡlu. Selim Esedoḡlu 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.
Esedoḡlu, Selim & Jiajia Guo. (2022). A Monotone, Second Order Accurate Scheme for Curvature Motion. SIAM Journal on Numerical Analysis. 60(5). 2435–2447.
2.
Esedoḡlu, Selim. (2019). ALGORITHMS FOR MOTION OF NETWORKS BY WEIGHTED MEAN CURVATURE. 3947–3966.
3.
Esedoḡlu, Selim, et al.. (2018). A Simplified Threshold Dynamics Algorithm for Isotropic Surface Energies. Journal of Scientific Computing. 79(1). 648–669. 3 indexed citations
4.
Esedoḡlu, Selim, et al.. (2017). Convolution Kernels and Stability of Threshold Dynamics Methods. SIAM Journal on Numerical Analysis. 55(5). 2123–2150. 6 indexed citations
5.
Esedoḡlu, Selim. (2016). Grain size distribution under simultaneous grain boundary migration and grain rotation in two dimensions. Computational Materials Science. 121. 209–216. 19 indexed citations
6.
Esedoḡlu, Selim & Fadil Santosa. (2012). Error estimates for a bar code reconstruction method. Discrete and Continuous Dynamical Systems - B. 17(6). 1889–1902. 3 indexed citations
7.
Calder, Jeff & Selim Esedoḡlu. (2012). On the Circular Area Signature for Graphs. SIAM Journal on Imaging Sciences. 5(4). 1355–1379. 1 indexed citations
8.
Ruan, Dan, Selim Esedoḡlu, & Jeffrey A. Fessler. (2009). Discriminative sliding preserving regularization in medical image registration. Deep Blue (University of Michigan). 75. 430–433. 21 indexed citations
9.
Bollt, Erik M., et al.. (2008). Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. Advances in Computational Mathematics. 31(1-3). 61–85. 70 indexed citations
10.
Esedoḡlu, Selim, Steven J. Ruuth, & Richard Tzong‐Han Tsai. (2008). Threshold dynamics for high order geometric motions. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 10(3). 263–282. 40 indexed citations
11.
Ruan, Dan, Jeffrey A. Fessler, & Selim Esedoḡlu. (2008). Discontinuity preserving regularization for modeling sliding in medical image registration. Deep Blue (University of Michigan). 18. 5304–5308. 11 indexed citations
12.
Chan, Tony F., Selim Esedoḡlu, & Kang-Yu Ni. (2007). Histogram based segmentation using Wasserstein distances. Lecture notes in computer science. 4485. 697. 22 indexed citations
13.
Chan, Tony F., et al.. (2007). Image decomposition combining staircase reduction and texture extraction. Journal of Visual Communication and Image Representation. 18(6). 464–486. 82 indexed citations
14.
Bresson, Xavier, Selim Esedoḡlu, Pierre Vandergheynst, Jean‐Philippe Thiran, & Stanley Osher. (2007). Fast Global Minimization of the Active Contour/Snake Model. Journal of Mathematical Imaging and Vision. 28(2). 151–167. 588 indexed citations breakdown →
15.
Esedoḡlu, Selim. (2006). Stability Properties of the Perona--Malik Scheme. SIAM Journal on Numerical Analysis. 44(3). 1297–1313. 16 indexed citations
16.
Chan, Tony F., Selim Esedoḡlu, & Mila Nikolova. (2005). Finding the global minimum for binary image restoration. Rare & Special e-Zone (The Hong Kong University of Science and Technology). I–121. 15 indexed citations
17.
Chan, Tony F. & Selim Esedoḡlu. (2005). Aspects of Total Variation RegularizedL1Function Approximation. SIAM Journal on Applied Mathematics. 65(5). 1817–1837. 461 indexed citations breakdown →
18.
Esedoḡlu, Selim, Steven J. Ruuth, & Richard Tzong‐Han Tsai. (2005). Threshold dynamics for shape reconstruction and disocclusion. 92. II–502. 14 indexed citations
19.
Chan, Tony F., et al.. (2004). Recent Developments in Total Variation Image Restoration. 12(1). 51–3. 216 indexed citations
20.
Esedoḡlu, Selim & Riccardo March. (2003). Segmentation with Depth but Without Detecting Junctions. Journal of Mathematical Imaging and Vision. 18(1). 7–15. 46 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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