Vahid Abootalebi

851 total citations
48 papers, 629 citations indexed

About

Vahid Abootalebi is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vahid Abootalebi has authored 48 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 13 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vahid Abootalebi's work include EEG and Brain-Computer Interfaces (26 papers), Blind Source Separation Techniques (11 papers) and Neural dynamics and brain function (10 papers). Vahid Abootalebi is often cited by papers focused on EEG and Brain-Computer Interfaces (26 papers), Blind Source Separation Techniques (11 papers) and Neural dynamics and brain function (10 papers). Vahid Abootalebi collaborates with scholars based in Iran, Sweden and Switzerland. Vahid Abootalebi's co-authors include Mohammad Hassan Moradi, Mohammad Ali Khalilzadeh, Farnaz Ghassemi, Amin Mahnam, Mohammad Taghi Sadeghi, Mehdi Tehrani‐Doost, Karim Rastegar, Reza Boostani, Zahra Amini and Behzad Nazari and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Control and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Vahid Abootalebi

45 papers receiving 605 citations

Peers

Vahid Abootalebi
Comparison fields: 5 of 61
  • Cognitive Neuroscience 477
  • Social Psychology 151
  • Artificial Intelligence 121
  • Cellular and Molecular Neuroscience 106
  • Cardiology and Cardiovascular Medicine 100
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Citations per field, relative to Vahid Abootalebi
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Citations per year, relative to Vahid Abootalebi
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Countries citing papers authored by Vahid Abootalebi

Since Specialization
Citations

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

Fields of papers citing papers by Vahid Abootalebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Abootalebi

This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Abootalebi. A scholar is included among the top collaborators of Vahid Abootalebi 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 Vahid Abootalebi. Vahid Abootalebi 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 0
2 1
3 9
4 2
5 2
6 2
7 2
8 20
9 14
10 47
11 2
12
EVALUATION AND COMPARISION OF COMMON SPATIAL PATTERNS (CSP) AND INTELLIGENT SEGMENTATION IN P300 DETECTION
1
13
Evaluation of Estimating Missed Answers in Conners Adult ADHD Rating Scale (Screening Version)
1
14 1
15 19
16
QUADRATIC B-SPLINE WAVELET AND COMMITTEE MACHINE FOR THE P300 DETECTION IN BRAIN COMPUTER INTERFACE
0
17 2
18 173
19 3
20 86

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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