Dar Gilboa

2.3k total citations
5 papers, 18 citations indexed

About

Dar Gilboa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Dar Gilboa has authored 5 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Dar Gilboa's work include Neural Networks and Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Dar Gilboa is often cited by papers focused on Neural Networks and Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Dar Gilboa collaborates with scholars based in United States and Israel. Dar Gilboa's co-authors include Ari Pakman, David Carlson, Liam Paninski, Daniel Soudry, Luca Mazzucato, Amin Nejatbakhsh, Michael Wibral, Elad Schneidman, Minmin Chen and Samuel S. Schoenholz and has published in prestigious journals such as arXiv (Cornell University), PubMed and International Conference on Machine Learning.

In The Last Decade

Dar Gilboa

5 papers receiving 18 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dar Gilboa United States	3	14	7	4	4	2	5	18
Adrià Garriga-Alonso United Kingdom	2	12 0.9×	3 0.4×	3 0.8×			4	15
Florian Heinemann Germany	3	5 0.4×	6 0.9×	2 0.5×	1 0.3×	1 0.5×	3	20
G. X. Sun China	2	7 0.5×	9 1.3×	1 0.3×		5 2.5×	4	10
Denis Teplyashin United Kingdom	2	15 1.1×		4 1.0×	2 0.5×		3	21
Jakub Sygnowski United Kingdom	3	17 1.2×		3 0.8×	2 0.5×		4	24
Zachary Kenton Germany	3	9 0.6×		5 1.3×	2 0.5×		5	17
Eva Portelance Canada	2	10 0.7×		2 0.5×	3 0.8×		6	12
George Zerveas United States	4	28 2.0×		7 1.8×	2 0.5×		8	32
F. Setti India	2	7 0.5×		2 0.5×	4 1.0×		2	18
S. Amato Italy	4	14 1.0×	1 0.1×	3 0.8×	3 0.8×		6	45

Countries citing papers authored by Dar Gilboa

Since Specialization

Citations

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

Fields of papers citing papers by Dar Gilboa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dar Gilboa

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

5 of 5 papers shown

1.

Pakman, Ari, Amin Nejatbakhsh, Dar Gilboa, et al.. (2021). Estimating the Unique Information of Continuous Variables.. PubMed. 34. 20295–20307. 8 indexed citations

2.

Gilboa, Dar, et al.. (2020). Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?. arXiv (Cornell University). 2 indexed citations

3.

Gilboa, Dar, et al.. (2019). A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off. arXiv (Cornell University). 32. 7036–7046. 1 indexed citations

4.

Gilboa, Dar, Bo Chang, Minmin Chen, et al.. (2019). The Dynamics of Signal Propagation in Gated Recurrent Neural Networks. 1 indexed citations

5.

Pakman, Ari, Dar Gilboa, David Carlson, & Liam Paninski. (2017). Stochastic Bouncy Particle Sampler. International Conference on Machine Learning. 2741–2750. 6 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.

Explore authors with similar magnitude of impact