Adel Javanmard
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
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- Software-Defined Networks and 5G
- Distributed Sensor Networks and Detection Algorithms
Papers in
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- Sparse and Compressive Sensing Techniques 10
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- Distributed Sensor Networks and Detection Algorithms 3
- Co-authors
- Andrea Montanari (8 shared papers)David L. Donoho (2 shared papers)Mohammad Alizadeh (2 shared papers)Balaji Prabhakar (2 shared papers)Farid Ashtiani (2 shared papers)Mohamed Hamdi (1 shared paper)Federico Ricci‐Tersenghi (1 shared paper)Sham M. Kakade (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (2 papers)The Annals of Statistics (2 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)Bioinformatics (2 papers)Operations Research (1 paper)
- Partner nations
- United StatesIranCanada
In The Last Decade
Adel Javanmard
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 345
- Computer Networks and Communications 349
- Computational Mathematics 7
- Signal Processing 119
- Computational Mechanics 219
Countries citing papers authored by Adel Javanmard
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
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-authors
The 25 scholars most cited alongside Adel Javanmard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 361 | |
| 2 | 2013 | 123 | |
| 3 | 2011 | 98 | |
| 4 | 2008 | 92 | |
| 5 | 2012 | 58 | |
| 6 | 2016 | 54 | |
| 7 | 2012 | 37 | |
| 8 | Learning Linear Bayesian Networks with Latent Variables | 2012 | 31 |
| 9 | 2019 | 17 | |
| 10 | 2012 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2009 | 12 | |
| 13 | 2011 | 12 | |
| 14 | 2010 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2012 | 10 | |
| 19 | 2023 | 9 | |
| 20 | Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems | 2012 | 9 |
About Adel Javanmard
Adel Javanmard is a scholar working on Computational Mechanics, Computer Networks and Communications, Artificial Intelligence, Statistics and Probability and Signal Processing, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Statistical Methods and Inference (5 papers), Advanced Bandit Algorithms Research (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Machine Learning and Algorithms (3 papers), Blind Source Separation Techniques (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (345 citations), Computer Networks and Communications (349 citations), Computational Mathematics (7 citations), Signal Processing (119 citations) and Computational Mechanics (219 citations). Adel Javanmard has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Andrea Montanari, David L. Donoho, Mohammad Alizadeh, Balaji Prabhakar, Farid Ashtiani, Mohamed Hamdi, Federico Ricci‐Tersenghi, Sham M. Kakade, Animashree Anandkumar and Daniel Hsu. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), Bioinformatics and Operations Research.
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.