Gideon Dror

6.1k total citations · 2 hit papers
57 papers, 3.8k citations indexed

About

Gideon Dror is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gideon Dror has authored 57 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Gideon Dror's work include Topic Modeling (8 papers), Face and Expression Recognition (7 papers) and Machine Learning and Data Classification (7 papers). Gideon Dror is often cited by papers focused on Topic Modeling (8 papers), Face and Expression Recognition (7 papers) and Machine Learning and Data Classification (7 papers). Gideon Dror collaborates with scholars based in Israel, United States and United Kingdom. Gideon Dror's co-authors include Ulrich Rührmair, Jan Sölter, Frank Sehnke, Srinivas Devadas, Jürgen Schmidhuber, Yehuda Koren, Isabelle Guyon, Eytan Ruppin, Noam Koenigstein and Daniel Cohen‐Or and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Gideon Dror

56 papers receiving 3.6k 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.

Modeling attacks on physical unclonable functions

2010 681 citations Gideon Dror et al. profile →
PUF Modeling Attacks on Simulated and Silicon Data

2013 448 citations Gideon Dror et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gideon Dror Israel	27	1.3k	1.1k	983	921	638	57	3.8k
Anupam Chattopadhyay Singapore	26	1.2k 0.9×	795 0.7×	1.3k 1.3×	326 0.4×	369 0.6×	270	3.2k
Edwin V. Bonilla Australia	20	2.0k 1.5×	914 0.8×	252 0.3×	854 0.9×	599 0.9×	37	4.3k
J.A.B. Fortes United States	35	539 0.4×	1.5k 1.3×	972 1.0×	152 0.2×	2.2k 3.4×	234	5.2k
Dan Feng China	40	1.4k 1.1×	989 0.9×	483 0.5×	3.4k 3.7×	2.4k 3.8×	572	9.2k
Dharmendra S. Modha United States	36	4.1k 3.2×	658 0.6×	6.3k 6.4×	1.4k 1.5×	880 1.4×	68	10.9k
Patrick Thiran Switzerland	45	793 0.6×	755 0.7×	2.4k 2.4×	205 0.2×	286 0.4×	189	8.0k
Aurel A. Lazar United States	37	439 0.3×	191 0.2×	1.3k 1.4×	233 0.3×	225 0.4×	208	4.2k
Hamid R. Arabnia United States	32	1.0k 0.8×	367 0.3×	540 0.5×	948 1.0×	478 0.7×	187	4.0k
Jeff Bilmes United States	37	3.6k 2.8×	348 0.3×	179 0.2×	1.6k 1.7×	311 0.5×	199	6.4k
Jinghong Li China	5	2.4k 1.8×	70 0.1×	1.5k 1.6×	642 0.7×	403 0.6×	11	6.4k

Countries citing papers authored by Gideon Dror

Since Specialization

Citations

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

Fields of papers citing papers by Gideon Dror

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gideon Dror

This figure shows the co-authorship network connecting the top 25 collaborators of Gideon Dror. A scholar is included among the top collaborators of Gideon Dror 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 Gideon Dror. Gideon Dror 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:

20 of 20 papers shown

1.

Dror, Gideon, et al.. (2023). Cross-modal distillation for flood extent mapping. SHILAP Revista de lepidopterología. 2. 11 indexed citations

2.

Barash, Alon, et al.. (2023). Morphologic aspects of the cervical (C3-C7) annular epiphysis: a skeletal study. The Spine Journal. 23(8). 1144–1151. 1 indexed citations

3.

Dror, Gideon, et al.. (2017). On the rainbow connection number of graphs.. Ars Combinatoria. 133. 51–67. 1 indexed citations

4.

Lavi, Ofer, Gideon Dror, & Ron Shamir. (2012). Network-Induced Classification Kernels for Gene Expression Profile Analysis. Journal of Computational Biology. 19(6). 694–709. 25 indexed citations

5.

Shtok, Anna, Gideon Dror, Yoelle Maarek, & Idan Szpektor. (2012). Learning from the past. 759–768. 82 indexed citations

6.

Liu, Qiaoling, Eugene Agichtein, Gideon Dror, Yoelle Maarek, & Idan Szpektor. (2012). When web search fails, searchers become askers. 801–810. 34 indexed citations

7.

Dror, Gideon, Noam Koenigstein, Yehuda Koren, & Markus Weimer. (2011). The Yahoo! Music Dataset and KDD-Cup'11. Knowledge Discovery and Data Mining. 3–18. 152 indexed citations

8.

Guyon, Isabelle, Amir Saffari, Gideon Dror, & Gavin C. Cawley. (2010). Model Selection: Beyond the Bayesian/Frequentist Divide. Journal of Machine Learning Research. 11(3). 61–87. 93 indexed citations

9.

Gutkin, Michael, Ron Shamir, & Gideon Dror. (2009). SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification. PLoS ONE. 4(7). e6416–e6416. 44 indexed citations

10.

Shi, Qinfeng, James Petterson, Gideon Dror, John Langford, & Alex Smola. (2009). Hash Kernels for Structured Data. Journal of Machine Learning Research. 10(90). 2615–2637. 112 indexed citations

11.

Dror, Gideon, et al.. (2008). A machine learning predictor of facial attractiveness revealing human-like psychophysical biases. Vision Research. 48(2). 235–243. 49 indexed citations

12.

Guyon, Isabelle, Amir Saffari, Gideon Dror, & Gavin C. Cawley. (2007). Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks. 21(2-3). 544–550. 16 indexed citations

13.

Dror, Gideon, et al.. (2006). Gene Expression of Caenorhabditis elegans Neurons Carries Information on Their Synaptic Connectivity. PLoS Computational Biology. 2(12). e167–e167. 44 indexed citations

14.

Sorek, Rotem, Gideon Dror, & Ron Shamir. (2006). Assessing the number of ancestral alternatively spliced exons in the human genome. BMC Genomics. 7(1). 273–273. 9 indexed citations

15.

Cohen, Shay B., Eytan Ruppin, & Gideon Dror. (2005). Feature selection based on the Shapley value. Edinburgh Research Explorer. 665–670. 71 indexed citations

16.

Dror, Gideon, Rotem Sorek, & Ron Shamir. (2004). Accurate identification of alternatively spliced exons using support vector machine. Bioinformatics. 21(7). 897–901. 93 indexed citations

17.

Guyon, Isabelle, Steve Gunn, Asa Ben‐Hur, & Gideon Dror. (2004). Result Analysis of the NIPS 2003 Feature Selection Challenge. ePrints Soton (University of Southampton). 17. 545–552. 293 indexed citations

18.

Horn, D., Gideon Dror, & Brigitte Quenet. (2004). Dynamic Proximity of Spatio-Temporal Sequences. IEEE Transactions on Neural Networks. 15(5). 1002–1008. 6 indexed citations

19.

Dror, Gideon, Arieh Lev, & Y. Roditty. (2004). A note: some results in step domination of trees. Discrete Mathematics. 289(1-3). 137–144. 3 indexed citations

20.

Dror, Gideon, H. Abramowicz, & D. Horn. (1998). Vertex Identification in High Energy Physics Experiments. Neural Information Processing Systems. 11. 868–874. 1 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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