Michael Kolomenkin

484 total citations
12 papers, 351 citations indexed

About

Michael Kolomenkin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Michael Kolomenkin has authored 12 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 6 papers in Geology. Recurrent topics in Michael Kolomenkin's work include Image Processing and 3D Reconstruction (8 papers), 3D Surveying and Cultural Heritage (6 papers) and 3D Shape Modeling and Analysis (6 papers). Michael Kolomenkin is often cited by papers focused on Image Processing and 3D Reconstruction (8 papers), 3D Surveying and Cultural Heritage (6 papers) and 3D Shape Modeling and Analysis (6 papers). Michael Kolomenkin collaborates with scholars based in Israel. Michael Kolomenkin's co-authors include Ilan Shimshoni, Ayellet Tal, Michael Lindenbaum, Ayelet Gilboa and George Leifman and has published in prestigious journals such as ACM Transactions on Graphics, International Journal of Computer Vision and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Michael Kolomenkin

12 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kolomenkin Israel 8 194 193 123 113 88 12 351
Yvain Quéau France 8 192 1.0× 48 0.2× 85 0.7× 21 0.2× 73 0.8× 27 250
Hans J. Wolters United States 5 315 1.6× 142 0.7× 268 2.2× 6 0.1× 139 1.6× 8 476
R. Keith Morley United States 5 160 0.8× 90 0.5× 172 1.4× 28 0.2× 25 0.3× 7 279
Joshua Podolak United States 6 204 1.1× 181 0.9× 111 0.9× 55 0.5× 49 0.6× 6 356
Rik Fransens Belgium 9 346 1.8× 23 0.1× 40 0.3× 110 1.0× 56 0.6× 11 390
Jason Rock United States 5 227 1.2× 72 0.4× 50 0.4× 33 0.3× 36 0.4× 5 261
Marcos Fajardo United States 10 215 1.1× 97 0.5× 216 1.8× 13 0.1× 36 0.4× 15 299
Matthias Innmann Germany 3 97 0.5× 30 0.2× 49 0.4× 50 0.4× 34 0.4× 4 160
Kansei Iwata Japan 5 243 1.3× 201 1.0× 341 2.8× 17 0.2× 16 0.2× 8 413
David Immel Germany 3 268 1.4× 151 0.8× 327 2.7× 10 0.1× 36 0.4× 6 410

Countries citing papers authored by Michael Kolomenkin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kolomenkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kolomenkin

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

All Works

12 of 12 papers shown
1.
Kolomenkin, Michael, et al.. (2021). DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints. 1–7. 7 indexed citations
2.
Kolomenkin, Michael, George Leifman, Ilan Shimshoni, & Ayellet Tal. (2013). Reconstruction of relief objects from archeological line drawings. Journal on Computing and Cultural Heritage. 6(1). 1–19. 4 indexed citations
3.
Kolomenkin, Michael, Ilan Shimshoni, & Ayellet Tal. (2013). Multi-scale Curve Detection on Surfaces. 3. 225–232. 7 indexed citations
4.
Gilboa, Ayelet, Ayellet Tal, Ilan Shimshoni, & Michael Kolomenkin. (2012). Computer-based, automatic recording and illustration of complex archaeological artifacts. Journal of Archaeological Science. 40(2). 1329–1339. 46 indexed citations
5.
Kolomenkin, Michael, George Leifman, Ilan Shimshoni, & Ayellet Tal. (2011). Reconstruction of relief objects from line drawings. 993–1000. 13 indexed citations
6.
Kolomenkin, Michael, Ilan Shimshoni, & Ayellet Tal. (2010). Prominent Field for Shape Processing and Analysis of Archaeological Artifacts. International Journal of Computer Vision. 94(1). 89–100. 16 indexed citations
7.
Kolomenkin, Michael, Ilan Shimshoni, & Ayellet Tal. (2009). Prominent field for shape processing of archaeological artifacts. 915–922. 5 indexed citations
8.
Kolomenkin, Michael, Ilan Shimshoni, & Ayellet Tal. (2009). On edge detection on surfaces. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2767–2774. 46 indexed citations
9.
Kolomenkin, Michael, Ilan Shimshoni, & Ayellet Tal. (2008). Demarcating curves for shape illustration. ACM Transactions on Graphics. 27(5). 1–9. 80 indexed citations
10.
Kolomenkin, Michael, Ilan Shimshoni, & Ayellet Tal. (2008). Demarcating curves for shape illustration. 1–9. 14 indexed citations
11.
Kolomenkin, Michael, et al.. (2008). Geometric voting algorithm for star trackers. IEEE Transactions on Aerospace and Electronic Systems. 44(2). 441–456. 109 indexed citations
12.
Kolomenkin, Michael & Ilan Shimshoni. (2006). Image Matching Using Photometric Information. 2. 2506–2514. 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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