Mousa Shamsi

107 total papers · 792 total citations
69 papers, 617 citations indexed

About

Mousa Shamsi is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Mousa Shamsi has authored 69 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Mousa Shamsi's work include EEG and Brain-Computer Interfaces (14 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Bioinformatics (7 papers). Mousa Shamsi is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Bioinformatics (7 papers). Mousa Shamsi collaborates with scholars based in Iran, Japan and Germany. Mousa Shamsi's co-authors include Shiva Khoshnoud, Mohammad Ali Nazari, Hadi Seyedarabi, Mohammad Hossein Sedaaghi, Habib Badri Ghavifekr, Ghobad Moradi, Sabalan Daneshvar, Scott Makeig, Peyvand Ghaderyan and Ateke Goshvarpour and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Signal Processing.

In The Last Decade

Mousa Shamsi

61 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Mousa Shamsi	206	202	117	86	64	69	617
Vinayak K. Bairagi	200 1.0×	197 1.0×	26 0.2×	88 1.0×	40 0.6×	67	556
Karthik Narayanan	92 0.4×	215 1.1×	50 0.4×	49 0.6×	49 0.8×	41	623
Adel S. El‐Fishawy	224 1.1×	116 0.6×	37 0.3×	189 2.2×	34 0.5×	86	636
P. S. Sathidevi	219 1.1×	142 0.7×	30 0.3×	204 2.4×	34 0.5×	71	593
Jean Andrian	214 1.0×	53 0.3×	37 0.3×	61 0.7×	33 0.5×	45	628
Álvaro A. Orozco	81 0.4×	221 1.1×	25 0.2×	178 2.1×	43 0.7×	95	637
A. Sharmila	75 0.4×	447 2.2×	50 0.4×	75 0.9×	55 0.9×	51	678
Haibin Shen	225 1.1×	142 0.7×	15 0.1×	101 1.2×	75 1.2×	82	663
Yuanhua Qiao	109 0.5×	179 0.9×	17 0.1×	155 1.8×	16 0.3×	84	696
Jia Liu	103 0.5×	168 0.8×	31 0.3×	168 2.0×	56 0.9×	95	619

Countries citing papers authored by Mousa Shamsi

Since Specialization

Citations

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

Fields of papers citing papers by Mousa Shamsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mousa Shamsi

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