Davood Hajinezhad

23 total papers · 1.1k total citations
12 papers, 549 citations indexed

About

Davood Hajinezhad is a scholar working on Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Davood Hajinezhad has authored 12 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Davood Hajinezhad's work include Sparse and Compressive Sensing Techniques (8 papers), Reinforcement Learning in Robotics (3 papers) and Distributed Control Multi-Agent Systems (3 papers). Davood Hajinezhad is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Reinforcement Learning in Robotics (3 papers) and Distributed Control Multi-Agent Systems (3 papers). Davood Hajinezhad collaborates with scholars based in United States, China and Portugal. Davood Hajinezhad's co-authors include Afshin Oroojlooy, Mingyi Hong, Qingjiang Shi, Alfredo García, Tsung‐Hui Chang, Xiangfeng Wang, Michael M. Zavlanos, Zhaoran Wang, Tuo Zhao and Yiannis Kantaros and has published in prestigious journals such as IEEE Transactions on Automatic Control, Mathematical Programming and Applied Intelligence.

In The Last Decade

Davood Hajinezhad

12 papers receiving 532 citations

Hit Papers

A review of cooperative m... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Davood Hajinezhad 234 202 158 85 78 12 549
Hamid Reza Feyzmahdavian 166 0.7× 178 0.9× 78 0.5× 52 0.6× 122 1.6× 28 496
Jochen Gorski 136 0.6× 102 0.5× 68 0.4× 86 1.0× 74 0.9× 11 594
Eduardo Pasiliao 232 1.0× 174 0.9× 91 0.6× 62 0.7× 112 1.4× 31 585
Wenliang Zhong 245 1.0× 86 0.4× 86 0.5× 119 1.4× 27 0.3× 9 478
Konstantinos I. Tsianos 164 0.7× 466 2.3× 128 0.8× 25 0.3× 83 1.1× 20 616
Pham Dinh Tao 107 0.5× 85 0.4× 176 1.1× 155 1.8× 74 0.9× 7 597
Frank Pfeuffer 122 0.5× 103 0.5× 69 0.4× 24 0.3× 49 0.6× 9 542
Leonid G. Khachiyan 104 0.4× 104 0.5× 64 0.4× 204 2.4× 47 0.6× 8 505
Stephen J. Wright 218 0.9× 46 0.2× 162 1.0× 107 1.3× 54 0.7× 16 598
Tao Pham Dinh 118 0.5× 70 0.3× 269 1.7× 189 2.2× 60 0.8× 27 566

Countries citing papers authored by Davood Hajinezhad

Since Specialization
Citations

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

Fields of papers citing papers by Davood Hajinezhad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davood Hajinezhad

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

All Works

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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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