Ilan Shimshoni

5.4k total citations · 2 hit papers
136 papers, 3.6k citations indexed

About

Ilan Shimshoni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Ilan Shimshoni has authored 136 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 41 papers in Aerospace Engineering and 19 papers in Geology. Recurrent topics in Ilan Shimshoni's work include Robotics and Sensor-Based Localization (41 papers), Advanced Vision and Imaging (37 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Ilan Shimshoni is often cited by papers focused on Robotics and Sensor-Based Localization (41 papers), Advanced Vision and Imaging (37 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Ilan Shimshoni collaborates with scholars based in Israel, United States and United Kingdom. Ilan Shimshoni's co-authors include Ehud Rivlin, A. Adam, Michael Kolomenkin, Meer, Ayellet Tal, Eliezer Hameiri, Michael Lindenbaum, Ronen Basri, Jean Ponce and Nathan S. Netanyahu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Ilan Shimshoni

123 papers receiving 3.4k citations

Hit Papers

Robust Fragments-based Tracking using the Integral Histogram 2006 2026 2012 2019 2006 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilan Shimshoni Israel 24 2.7k 897 729 413 325 136 3.6k
Reinhard Klette New Zealand 31 2.8k 1.0× 729 0.8× 468 0.6× 301 0.7× 286 0.9× 275 4.4k
Terrance E. Boult United States 28 2.7k 1.0× 1.6k 1.8× 326 0.4× 265 0.6× 303 0.9× 172 4.7k
Hongbin Zha China 33 2.9k 1.1× 685 0.8× 950 1.3× 346 0.8× 92 0.3× 289 3.9k
David Suter Australia 39 3.9k 1.4× 1.3k 1.5× 1.5k 2.0× 359 0.9× 238 0.7× 205 5.4k
Ko Nishino Japan 31 2.7k 1.0× 639 0.7× 356 0.5× 283 0.7× 207 0.6× 112 3.4k
Eddy Ilg Germany 10 4.2k 1.5× 684 0.8× 749 1.0× 178 0.4× 114 0.4× 17 4.8k
P. Anandan India 19 3.1k 1.1× 360 0.4× 545 0.7× 129 0.3× 239 0.7× 59 3.8k
Aleš Leonardis Slovenia 39 4.9k 1.8× 1.9k 2.1× 1.3k 1.8× 307 0.7× 131 0.4× 198 6.9k
James J. Little Canada 37 4.8k 1.8× 921 1.0× 2.0k 2.7× 172 0.4× 200 0.6× 160 6.1k
Lizhuang Ma China 38 3.5k 1.3× 941 1.0× 244 0.3× 600 1.5× 136 0.4× 321 4.9k

Countries citing papers authored by Ilan Shimshoni

Since Specialization
Citations

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

Fields of papers citing papers by Ilan Shimshoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilan Shimshoni

This figure shows the co-authorship network connecting the top 25 collaborators of Ilan Shimshoni. A scholar is included among the top collaborators of Ilan Shimshoni 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 Ilan Shimshoni. Ilan Shimshoni 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.
Pedretti, G, Teddy Lazebnik, Anna Zamansky, et al.. (2025). Does the tail show when the nose knows? Artificial intelligence outperforms human experts at predicting detection dogs finding their target through tail kinematics. Royal Society Open Science. 12(8). 250399–250399. 1 indexed citations
2.
Chaloupková, Helena, et al.. (2025). Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts. BMC Veterinary Research. 21(1). 372–372.
3.
Sapir, Nir, et al.. (2025). Integrating AI into ecology for fully automated monitoring of endangered seabird breeding colonies. Ecological Informatics. 91. 103380–103380.
4.
Zamansky, Anna, et al.. (2025). Dog facial landmarks detection and its applications for facial analysis. Scientific Reports. 15(1). 21886–21886. 1 indexed citations
5.
Lazebnik, Teddy, Sebastian Meller, Ilan Shimshoni, et al.. (2024). Automated landmark-based cat facial analysis and its applications. Frontiers in Veterinary Science. 11. 1442634–1442634. 6 indexed citations
6.
Zamansky, Anna, et al.. (2024). Computational investigation of the social function of domestic cat facial signals. Scientific Reports. 14(1). 27533–27533. 3 indexed citations
7.
Kuflik, Tsvi, et al.. (2024). Calibration-Free Mobile Eye-Tracking Using Corneal Imaging. Sensors. 24(4). 1237–1237.
8.
Lazebnik, Teddy, Sebastian Meller, Ilan Shimshoni, et al.. (2024). Automated video-based pain recognition in cats using facial landmarks. Scientific Reports. 14(1). 28006–28006. 5 indexed citations
9.
Raz, Shmuel, et al.. (2024). Action assessment in rehabilitation: Leveraging machine learning and vision-based analysis. Computer Vision and Image Understanding. 251. 104228–104228.
10.
Shimshoni, Ilan, et al.. (2024). Automated recognition of emotional states of horses from facial expressions. PLoS ONE. 19(7). e0302893–e0302893. 6 indexed citations
11.
Shimshoni, Ilan, et al.. (2023). Machine vision-based automatic lamb identification and drinking activity in a commercial farm. animal. 17(9). 100923–100923. 2 indexed citations
12.
Shimshoni, Ilan, et al.. (2023). Deep learning for video-based automated pain recognition in rabbits. Scientific Reports. 13(1). 14679–14679. 9 indexed citations
13.
Meller, Sebastian, Ilan Shimshoni, Friederike Twele, et al.. (2023). Explainable automated pain recognition in cats. Scientific Reports. 13(1). 8973–8973. 19 indexed citations
14.
Riemer, Stefanie, et al.. (2022). Explainable automated recognition of emotional states from canine facial expressions: the case of positive anticipation and frustration. Scientific Reports. 12(1). 22611–22611. 25 indexed citations
15.
Shimshoni, Ilan, et al.. (2022). Automated recognition of pain in cats. Scientific Reports. 12(1). 9575–9575. 41 indexed citations
16.
Livovsky, Dan M., Tomer Golany, Amit Aides, et al.. (2021). Detection of elusive polyps using a large-scale artificial intelligence system (with videos). Gastrointestinal Endoscopy. 94(6). 1099–1109.e10. 18 indexed citations
17.
Bellon, Olga Regina Pereira, Matteo Dellepiane, & Ilan Shimshoni. (2010). Proceedings of the second workshop on eHeritage and digital art preservation. 1 indexed citations
18.
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
19.
Moses, Yoram & Ilan Shimshoni. (2009). 3D Shape Recovery of Smooth Surfaces: Dropping the Fixed-Viewpoint Assumption. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(7). 1310–1324. 1 indexed citations
20.
Hameiri, Eliezer & Ilan Shimshoni. (2003). Estimating the principal curvatures and the darboux frame from real 3-D range data. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(4). 626–637. 50 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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