Adel Javanmard

2.1k total citations
33 papers, 1.0k citations indexed

About

Adel Javanmard is a scholar working on Computational Mechanics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Adel Javanmard has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 9 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Adel Javanmard's work include Sparse and Compressive Sensing Techniques (10 papers), Statistical Methods and Inference (4 papers) and Advanced Bandit Algorithms Research (4 papers). Adel Javanmard is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Statistical Methods and Inference (4 papers) and Advanced Bandit Algorithms Research (4 papers). Adel Javanmard collaborates with scholars based in United States, Iran and Canada. Adel Javanmard's co-authors include Andrea Montanari, David L. Donoho, Balaji Prabhakar, Mohammad Alizadeh, Farid Ashtiani, Mohamed Hamdi, Federico Ricci‐Tersenghi, Sham M. Kakade, Animashree Anandkumar and Daniel Hsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and IEEE Transactions on Information Theory.

In The Last Decade

Adel Javanmard

30 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adel Javanmard United States 13 347 341 230 219 198 33 1.0k
Scott Vander Wiel United States 16 313 0.9× 213 0.6× 137 0.6× 76 0.3× 132 0.7× 51 1.2k
Jiaming Xu United States 17 208 0.6× 184 0.5× 85 0.4× 130 0.6× 717 3.6× 69 1.2k
Aarti Singh United States 18 225 0.6× 107 0.3× 54 0.2× 190 0.9× 436 2.2× 66 947
Shuheng Zhou United States 13 143 0.4× 263 0.8× 56 0.2× 122 0.6× 372 1.9× 41 852
Romain Couillet France 19 267 0.8× 218 0.6× 390 1.7× 91 0.4× 147 0.7× 75 944
Yin Tat Lee United States 18 211 0.6× 99 0.3× 79 0.3× 99 0.5× 338 1.7× 46 816
Daniel M. Kane United States 15 145 0.4× 110 0.3× 51 0.2× 125 0.6× 460 2.3× 89 841
Peter Richtárik United Kingdom 19 267 0.8× 159 0.5× 176 0.8× 803 3.7× 1.1k 5.5× 67 1.7k
Anand D. Sarwate United States 22 948 2.7× 127 0.4× 490 2.1× 112 0.5× 1.3k 6.7× 119 2.5k
George Atia United States 16 416 1.2× 44 0.1× 228 1.0× 189 0.9× 349 1.8× 130 1.1k

Countries citing papers authored by Adel Javanmard

Since Specialization
Citations

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

Fields of papers citing papers by Adel Javanmard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Javanmard

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

All Works

20 of 20 papers shown
2.
Hassani, Hamed & Adel Javanmard. (2024). The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. The Annals of Statistics. 52(2). 2 indexed citations
3.
Carey, CJ, Travis Dick, Alessandro Epasto, et al.. (2023). Measuring Re-identification Risk. Proceedings of the ACM on Management of Data. 1(2). 1–26. 9 indexed citations
4.
Javanmard, Adel & Mohammad Reza Mehrabi. (2023). GRASP: a goodness-of-fit test for classification learning. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(1). 215–245.
5.
Javanmard, Adel & Mahdi Soltanolkotabi. (2022). Precise statistical analysis of classification accuracies for adversarial training. The Annals of Statistics. 50(4). 10 indexed citations
6.
Javanmard, Adel, et al.. (2020). Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity. 2652–2657. 8 indexed citations
7.
Deshpande, Yash, Adel Javanmard, & Ali Mehrabi. (2019). Online Debiasing for Adaptively Collected High-dimensional Data.. arXiv (Cornell University). 1 indexed citations
8.
Javanmard, Adel, Andrea Montanari, & Federico Ricci‐Tersenghi. (2016). Phase transitions in semidefinite relaxations. Proceedings of the National Academy of Sciences. 113(16). E2218–23. 54 indexed citations
9.
Javanmard, Adel, et al.. (2015). 1-bit matrix completion under exact low-rank constraint. 1–6. 14 indexed citations
10.
Akbari, Saieed, et al.. (2015). Nowhere-zero Unoriented Flows in Hamiltonian Graphs.. 120. 51–63. 1 indexed citations
11.
Javanmard, Adel & Andrea Montanari. (2013). Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models. Neural Information Processing Systems. 26. 1187–1195. 8 indexed citations
12.
Javanmard, Adel & Andrea Montanari. (2013). Confidence Intervals and Hypothesis Testing for High-Dimensional Regression. arXiv (Cornell University). 15(1). 2869–2909. 355 indexed citations
13.
Javanmard, Adel, et al.. (2012). Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. Neural Information Processing Systems. 25. 2636–2644. 9 indexed citations
14.
Alizadeh, Mohammad, et al.. (2012). Versatile refresh. 247–258. 15 indexed citations
15.
Javanmard, Adel & Andrea Montanari. (2012). Subsampling at information theoretically optimal rates. 2431–2435. 7 indexed citations
16.
Javanmard, Adel & Li Zhang. (2012). The minimax risk of truncated series estimators for symmetric convex polytopes. 16. 1633–1637. 6 indexed citations
17.
Donoho, David L., Adel Javanmard, & Andrea Montanari. (2012). Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. 1231–1235. 57 indexed citations
18.
Alizadeh, Mohammad, et al.. (2012). Versatile refresh. ACM SIGMETRICS Performance Evaluation Review. 40(1). 247–258. 5 indexed citations
19.
Javanmard, Adel & Andrea Montanari. (2012). Localization from Incomplete Noisy Distance Measurements. Foundations of Computational Mathematics. 13(3). 297–345. 37 indexed citations
20.
Javanmard, Adel, et al.. (2008). Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA). 1–5. 4 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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