Eyal Krupka

926 total citations · 1 hit paper
12 papers, 400 citations indexed

About

Eyal Krupka is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eyal Krupka has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Eyal Krupka's work include Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Hand Gesture Recognition Systems (3 papers). Eyal Krupka is often cited by papers focused on Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Hand Gesture Recognition Systems (3 papers). Eyal Krupka collaborates with scholars based in Israel, United States and United Kingdom. Eyal Krupka's co-authors include Ido Leichter, Alon Vinnikov, Daniel Z. Freedman, Naftali Tishby, David Kim, Jamie Shotton, Christoph Rhemann, Cem Keskin, Shahram Izadi and Yichen Wei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Computer Speech & Language.

In The Last Decade

Eyal Krupka

12 papers receiving 381 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate, Robust, and Flexible Real-time Hand Tracking

2015 285 citations Toby Sharp, Cem Keskin et al. profile →

Peers

Eyal Krupka

CVPR

HI

CSE

AI

CN

Alon Vinnikov Israel

Beibei Liu China

Ho‐Sub Yoon South Korea

Tsz-Ho Yu United Kingdom

Robert Wang United States

J.H. Kim South Korea

Sylvie C. W. Ong Singapore

Jesus Suarez United States

Hyun Seung Yang South Korea

Bernd Michaelis Germany

Alon Vinnikov Israel

Eyal Krupka

230 ×0.9

CVPR

259 ×1.0

HI

118 ×1.0

CSE

26 ×0.4

AI

66 ×1.0

CN

Citations per year, relative to Eyal Krupka Eyal Krupka (= 1×) peers Alon Vinnikov

Countries citing papers authored by Eyal Krupka

Since Specialization

Citations

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

Fields of papers citing papers by Eyal Krupka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyal Krupka

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Vinnikov, Alon, et al.. (2025). Summary of the NOTSOFAR-1 challenge: Highlights and learnings. Computer Speech & Language. 93. 101796–101796. 1 indexed citations

2.

Vinnikov, Alon, S. Peer, Xiong Xiao, et al.. (2024). NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription. 5003–5007. 9 indexed citations

3.

Leichter, Ido, et al.. (2024). A Real-Time Active Speaker Detection System Integrating an Audio-Visual Signal with a Spatial Querying Mechanism. 8781–8785. 3 indexed citations

4.

Krupka, Eyal, et al.. (2017). Toward Realistic Hands Gesture Interface. 1887–1898. 15 indexed citations

5.

Sharp, Toby, Cem Keskin, Duncan Robertson, et al.. (2015). Accurate, Robust, and Flexible Real-time Hand Tracking. 3633–3642. 285 indexed citations breakdown →

6.

Krupka, Eyal, et al.. (2014). Discriminative Ferns Ensemble for Hand Pose Recognition. 9. 3670–3677. 22 indexed citations

7.

Leichter, Ido & Eyal Krupka. (2013). Monotonicity and Error Type Differentiability in Performance Measures for Target Detection and Tracking in Video. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(10). 2553–2560. 12 indexed citations

8.

Leichter, Ido & Eyal Krupka. (2012). Monotonicity and error type differentiability in performance measures for target detection and tracking in video. 2003–2009. 6 indexed citations

9.

Krupka, Eyal & Naftali Tishby. (2008). Generalization from Observed to Unobserved Features by Clustering. Journal of Machine Learning Research. 9(11). 339–370. 6 indexed citations

10.

Krupka, Eyal, Amir Navot, & Naftali Tishby. (2008). Learning to Select Features using their Properties. Journal of Machine Learning Research. 9(77). 2349–2376. 13 indexed citations

11.

Krupka, Eyal & Naftali Tishby. (2007). Incorporating Prior Knowledge on Features into Learning. International Conference on Artificial Intelligence and Statistics. 227–234. 21 indexed citations

12.

Krupka, Eyal & Naftali Tishby. (2005). Generalization in Clustering with Unobserved Features. Neural Information Processing Systems. 18. 683–690. 7 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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