Mohammad Samragh

44 total papers · 614 total citations
23 papers, 260 citations indexed

About

Mohammad Samragh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Samragh has authored 23 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammad Samragh's work include Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Neural Network Applications (5 papers). Mohammad Samragh is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Neural Network Applications (5 papers). Mohammad Samragh collaborates with scholars based in United States and United Kingdom. Mohammad Samragh's co-authors include Farinaz Koushanfar, Tara Javidi, Mojan Javaheripi, Mohammad Ghasemzadeh, M. Sadegh Riazi, Bita Darvish Rouhani, Mohsen Imani, Sahand Salamat, Tajana Rosing and Behnam Khaleghi and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Dependable and Secure Computing and IEEE Security & Privacy.

In The Last Decade

Mohammad Samragh

18 papers receiving 254 citations

Author Peers

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

Author						Papers	Cites
Mohammad Samragh	168	114	56	49	27	23	260
Pei Luo	155 0.9×	58 0.5×	72 1.3×	96 2.0×	56 2.1×	23	229
Léo Perrin	250 1.5×	96 0.8×	116 2.1×	38 0.8×	24 0.9×	27	283
Bingyi Zhang	158 0.9×	102 0.9×	152 2.7×	30 0.6×	7 0.3×	31	282
Mojan Javaheripi	95 0.6×	81 0.7×	30 0.5×	28 0.6×	20 0.7×	22	171
Sumit Singh Dhanda	105 0.6×	144 1.3×	78 1.4×	27 0.6×	39 1.4×	15	308
Thierry Tambe	93 0.6×	73 0.6×	77 1.4×	50 1.0×	19 0.7×	16	222
Christian Zenger	90 0.5×	227 2.0×	101 1.8×	30 0.6×	29 1.1×	22	273
Zhongzhi Yu	94 0.6×	72 0.6×	47 0.8×	34 0.7×	6 0.2×	23	235
Marco Donato	80 0.5×	144 1.3×	62 1.1×	58 1.2×	19 0.7×	24	246
Juliane Krämer	105 0.6×	47 0.4×	28 0.5×	65 1.3×	28 1.0×	22	210

Countries citing papers authored by Mohammad Samragh

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Samragh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Samragh

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