Mousa Shamsi

800 total citations
69 papers, 619 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 619 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), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (7 papers). Mousa Shamsi is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (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, Scott Makeig, Sabalan Daneshvar, Peyvand Ghaderyan and Ali Gholipour 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 583 citations

Peers

Mousa Shamsi
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 205
  • Cognitive Neuroscience 204
  • Psychiatry and Mental health 117
  • Artificial Intelligence 86
  • Biomedical Engineering 64
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Citations per field, relative to Mousa Shamsi
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Citations per year, relative to Mousa Shamsi
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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

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 20
5 4
6 0
7 43
8 16
9
Unsupervised Multimodal Magnetic Resonance Images Segmentation and Multiple Sclerosis Lesions Extraction based on Edge and Texture Features
0
10 2
11 28
12
Evaluation of facial soft tissue parameters for Northwestern students in Iran
2
13 6
14 5
15
GENE SELECTION AND CANCER CLASSIFICATION BASED ON MICROARRAY DATA USING COMBINED BPSO AND BLDA ALGORITHM
3
16
A Hybrid Anti-notch/Goertzel Model for Gene Prediction in DNA Sequences
1
17
Classification of EEG-P300 Signals Extracted from Brain Activities in BCI Systems Using ν-SVM and BLDA Algorithms
6
18
Segmentation of Apple Color Images Utilizing Fuzzy Clustering Algorithms
11
19
Segmentation of pomegranate MR images using spatial fuzzy c-means (SFCM) algorithm
2
20
Apple defect detection using statistical histogram based EM algorithm
4

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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