Behrooz Ghorbani

505 total citations
6 papers, 57 citations indexed

About

Behrooz Ghorbani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Behrooz Ghorbani has authored 6 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Behrooz Ghorbani's work include Image and Signal Denoising Methods (2 papers), Bayesian Methods and Mixture Models (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Behrooz Ghorbani is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Bayesian Methods and Mixture Models (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Behrooz Ghorbani collaborates with scholars based in United States and Portugal. Behrooz Ghorbani's co-authors include Shankar Krishnan, Ying Xiao, Andrea Montanari, Theodor Misiakiewicz, Mei Song, Markus Freitag and Patrick Fernandes and has published in prestigious journals such as The Annals of Statistics, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Behrooz Ghorbani

6 papers receiving 53 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Behrooz Ghorbani United States	4	47	18	11	9	6	6	57
Colin Wei United States	4	63 1.3×	28 1.6×	8 0.7×	4 0.4×	8 1.3×	8	72
Theodor Misiakiewicz United States	5	37 0.8×	14 0.8×	10 0.9×	15 1.7×	16 2.7×	7	60
Joern-Henrik Jacobsen Canada	6	87 1.9×	52 2.9×	20 1.8×	4 0.4×	5 0.8×	7	110
Hippolyt Ritter United Kingdom	3	87 1.9×	42 2.3×	4 0.4×	5 0.6×	7 1.2×	7	99
Gary Bécigneul Switzerland	5	47 1.0×	22 1.2×	7 0.6×		11 1.8×	8	63
Edward De Brouwer Belgium	5	34 0.7×	7 0.4×	15 1.4×	2 0.2×	1 0.2×	10	51
Aymeric Dieuleveut France	4	38 0.8×	6 0.3×	3 0.3×	17 1.9×	17 2.8×	12	56
Vaishnavh Nagarajan United States	4	26 0.6×	11 0.6×	6 0.5×	1 0.1×	10 1.7×	7	44
Gauthier Gidel Canada	5	28 0.6×	6 0.3×	2 0.2×	5 0.6×	16 2.7×	12	36

Countries citing papers authored by Behrooz Ghorbani

Since Specialization

Citations

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

Fields of papers citing papers by Behrooz Ghorbani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrooz Ghorbani

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

All Works

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6 of 6 papers shown

1.

Freitag, Markus, Behrooz Ghorbani, & Patrick Fernandes. (2023). Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. 9198–9209. 4 indexed citations

2.

Ghorbani, Behrooz, et al.. (2020). Discussion of: “Nonparametric regression using deep neural networks with ReLU activation function”. The Annals of Statistics. 48(4). 4 indexed citations

3.

Ghorbani, Behrooz, et al.. (2019). An Instability in Variational Inference for Topic Models. International Conference on Machine Learning. 2221–2231. 1 indexed citations

4.

Ghorbani, Behrooz, Mei Song, Theodor Misiakiewicz, & Andrea Montanari. (2019). Limitations of Lazy Training of Two-layers Neural Network. Neural Information Processing Systems. 32. 9108–9118. 16 indexed citations

5.

Ghorbani, Behrooz, Shankar Krishnan, & Ying Xiao. (2019). An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. arXiv (Cornell University). 2232–2241. 31 indexed citations

6.

Ghorbani, Behrooz, et al.. (2019). The Effect of Network Depth on the Optimization Landscape. 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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