Mohammad Motamedi

59 total papers · 1.0k total citations
28 papers, 509 citations indexed

About

Mohammad Motamedi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Plant Science. According to data from OpenAlex, Mohammad Motamedi has authored 28 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Control and Systems Engineering and 7 papers in Plant Science. Recurrent topics in Mohammad Motamedi's work include Advanced Neural Network Applications (8 papers), Piezoelectric Actuators and Control (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Mohammad Motamedi is often cited by papers focused on Advanced Neural Network Applications (8 papers), Piezoelectric Actuators and Control (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Mohammad Motamedi collaborates with scholars based in Iran, United States and United Kingdom. Mohammad Motamedi's co-authors include Soheil Ghiasi, Philipp Gysel, Jon J. Pimentel, Venkatesh Akella, Mohammad Zareinejad, Seyed Mehdi Rezaei, Maryam Haghighi, Mohammad Taghi Ahmadian, Gholamreza Vossoughi and Anil Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Mohammad Motamedi

25 papers receiving 502 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Motamedi 288 223 148 52 43 28 509
M. Gorgoń 338 1.2× 157 0.7× 130 0.9× 47 0.9× 34 0.8× 51 579
Meiqi Wang 175 0.6× 187 0.8× 194 1.3× 88 1.7× 37 0.9× 35 537
Shuanglong Liu 250 0.9× 196 0.9× 200 1.4× 58 1.1× 46 1.1× 34 483
Siyuan Lu 102 0.4× 255 1.1× 237 1.6× 66 1.3× 19 0.4× 27 525
Mukul Sutaone 161 0.6× 123 0.6× 122 0.8× 25 0.5× 42 1.0× 66 480
Ayşegül Dündar 383 1.3× 226 1.0× 138 0.9× 57 1.1× 23 0.5× 24 518
Daniele Palossi 197 0.7× 168 0.8× 55 0.4× 25 0.5× 63 1.5× 44 463
Vikram Gupta 202 0.7× 96 0.4× 150 1.0× 23 0.4× 90 2.1× 32 465
Xiaohu Yan 198 0.7× 48 0.2× 134 0.9× 52 1.0× 58 1.3× 31 516
Ningxin Zheng 284 1.0× 72 0.3× 101 0.7× 58 1.1× 109 2.5× 14 568

Countries citing papers authored by Mohammad Motamedi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Motamedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Motamedi

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