Shahram Rahimi

137 total papers · 1.2k total citations
62 papers, 611 citations indexed

About

Shahram Rahimi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Shahram Rahimi has authored 62 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Management Science and Operations Research. Recurrent topics in Shahram Rahimi's work include Anomaly Detection Techniques and Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Time Series Analysis and Forecasting (6 papers). Shahram Rahimi is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Time Series Analysis and Forecasting (6 papers). Shahram Rahimi collaborates with scholars based in United States, Iran and Egypt. Shahram Rahimi's co-authors include Somayeh Bakhtiari Ramezani, Niyaz Mohammad Mahmoodi, Firoozmehr Mazaheri, Mokhtar Arami, Maria Seale, Amin Amirlatifi, Sudip Mittal, Chaomin Luo, Tingjun Lei and William Anderson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Shahram Rahimi

53 papers receiving 576 citations

Author Peers

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

Author Last Decade Papers Cites
Shahram Rahimi 227 102 74 70 66 62 611
Mayank Singh 166 0.7× 94 0.9× 31 0.4× 27 0.4× 59 0.9× 106 681
Chao Li 117 0.5× 138 1.4× 17 0.2× 49 0.7× 33 0.5× 81 645
Zhiheng Zhang 225 1.0× 35 0.3× 21 0.3× 118 1.7× 80 1.2× 44 641
Ayush Sharma 103 0.5× 79 0.8× 31 0.4× 67 1.0× 49 0.7× 49 574
Wenxuan Zhou 473 2.1× 44 0.4× 24 0.3× 41 0.6× 42 0.6× 50 647
Anand Kumar 81 0.4× 162 1.6× 54 0.7× 32 0.5× 42 0.6× 56 499
Haipeng Wang 120 0.5× 94 0.9× 33 0.4× 34 0.5× 119 1.8× 61 555
Bin Xing 103 0.5× 93 0.9× 116 1.6× 54 0.8× 46 0.7× 74 665
Hongwei Lu 169 0.7× 220 2.2× 48 0.6× 19 0.3× 120 1.8× 54 592
Yuhao Zhang 234 1.0× 25 0.2× 20 0.3× 34 0.5× 93 1.4× 53 620

Countries citing papers authored by Shahram Rahimi

Since Specialization
Citations

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

Fields of papers citing papers by Shahram Rahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahram Rahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Shahram Rahimi. A scholar is included among the top collaborators of Shahram Rahimi 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 Shahram Rahimi. Shahram Rahimi 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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