Mohammad-R. Akbarzadeh-T

3.4k citations
201 papers · 2.5k indexed · h-index 27
Topics
Fuzzy Logic and Control Systems (47 papers)Neural Networks and Applications (38 papers)Evolutionary Algorithms and Applications (30 papers)

In The Last Decade

Mohammad-R. Akbarzadeh-T

195 papers receiving 2.4k citations

Peers

Mohammad-R. Akbarzadeh-T
Comparison fields: 5 of 152
  • Artificial Intelligence 1.0k
  • Control and Systems Engineering 585
  • Biomedical Engineering 358
  • Computational Theory and Mathematics 282
  • Computer Networks and Communications 256
Replace Kit Yan Chan with:
Kit Yan Chan Australia
Changjing Shang United Kingdom
Sreenatha G. Anavatti Australia
Julio Ortega Spain
Mahardhika Pratama Singapore
Mohammad Mehdi Ebadzadeh Iran
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Mohammad-R. Akbarzadeh-T relative to Kit Yan Chan Australia Kit Yan Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammad-R. Akbarzadeh-T

Since Specialization
Citations

This map shows the geographic impact of Mohammad-R. Akbarzadeh-T'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-R. Akbarzadeh-T with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad-R. Akbarzadeh-T more than expected).

Fields of papers citing papers by Mohammad-R. Akbarzadeh-T

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad-R. Akbarzadeh-T. 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-R. Akbarzadeh-T. The network helps show where Mohammad-R. Akbarzadeh-T may publish in the future.

Co-authorship network of co-authors of Mohammad-R. Akbarzadeh-T

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad-R. Akbarzadeh-T. A scholar is included among the top collaborators of Mohammad-R. Akbarzadeh-T 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-R. Akbarzadeh-T. Mohammad-R. Akbarzadeh-T 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
#WorkIndexed citations
1 1
2 3
3 1
4 1
5 9
6 20
7 12
8 13
9 17
10 2
11 3
12 0
13 108
14 30
15
Surface Electromyography Feature Extraction Based on Wavelet Transform
14
16 1
17
TDMA scheduling in wireless sensor networks using hybrid of genetic algorithm and particle swarm optimization
1
18 44
19
Agent-based cooperative co-evolution for fuzzy systems
2
20
Complex-valueo adaptive neuro fuzzy inference system-canfis
6

About Mohammad-R. Akbarzadeh-T

Mohammad-R. Akbarzadeh-T is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, having authored 201 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (47 papers), Neural Networks and Applications (38 papers) and Evolutionary Algorithms and Applications (30 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Control and Systems Engineering (585 citations) and Computational Theory and Mathematics (282 citations). Mohammad-R. Akbarzadeh-T has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Ehsan Lotfi, Alireza Akbarzadeh, Reza Shahnazi, Mohammad-H. Tayarani-N., Amir H. Meghdadi, Amir Rezaei, Mohammad Bagher Naghibi Sistani, Farnaz Sabahi, Mahdi Yaghoobi and M. Jamshidi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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