Gideon Dror

6.1k citations
57 papers · 3.8k indexed · 2 hit papers · h-index 27

Impact in

Papers in

Gideon Dror

56 papers receiving 3.6k citations

Hit Papers

PUF Modeling Attacks on Simulated and Silicon Data 2013 · 448 citations
4482010202620152020200400600

Peers

Gideon Dror
Comparison fields: 5 of 163
  • Hardware and Architecture 1.1k
  • Computer Vision and Pattern Recognition 921
  • Artificial Intelligence 1.3k
  • Computer Science Applications 174
  • Cellular and Molecular Neuroscience 572
Replace Edwin V. Bonilla with:
Edwin V. Bonilla Australia
Dan Feng China
Dan S. Wallach United States
Wm. A. Wulf United States
Dharmendra S. Modha United States
Jonathan M. Smith United States
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Patrick Thiran Switzerland
J.A.B. Fortes United States
Anupam Chattopadhyay Singapore
Gideon Dror relative to Edwin V. Bonilla Australia Edwin V. Bonilla's profile →
Citations per field
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Edwin V. Bonilla · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gideon Dror, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gideon Dror Line = papers co-authored together Gideon Dror links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling attacks on physical unclonable functions
Hit paper breakdown →
2010681
2
PUF Modeling Attacks on Simulated and Silicon Data
Hit paper breakdown →
2013448
3
Result Analysis of the NIPS 2003 Feature Selection Challenge
2004293
4 2011184
5 2005165
6
The Yahoo! Music Dataset and KDD-Cup'11
2011152
7 2012139
8 2008117
9 2008117
10 2009112
11 200493
12
Model Selection: Beyond the Bayesian/Frequentist Divide
201093
13 200784
14 201282
15
Feature selection based on the Shapley value
200571
16 201670
17 201069
18 201266
19 201153
20 200851

About Gideon Dror

Gideon Dror is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Signal Processing and Information Systems, having authored 57 papers that have together received 3.8k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Face and Expression Recognition (7 papers), Machine Learning and Data Classification (7 papers), Neural Networks and Applications (6 papers), Expert finding and Q&A systems (6 papers), Data Mining Algorithms and Applications (6 papers), Neural dynamics and brain function (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computer Vision and Pattern Recognition (921 citations), Artificial Intelligence (1.3k citations), Computer Science Applications (174 citations) and Cellular and Molecular Neuroscience (572 citations). Gideon Dror has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ulrich Rührmair, Srinivas Devadas, Jan Sölter, Frank Sehnke, Jürgen Schmidhuber, Yehuda Koren, Isabelle Guyon, Eytan Ruppin, Noam Koenigstein and Daniel Cohen‐Or. Their work appears in journals such as Neurocomputing, Bioinformatics, ACM Transactions on Graphics, Neural Computation and Neural Networks.

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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