Mir Mohsen Pedram
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Hossein SadrArash SharifiMohammad TeshnehlabHasan ImamAlireza MoradiAmir Masoud RahmaniAbolfazl MirzazadehMaziar Palhang
- Topics
- Data Mining Algorithms and Applications (8 papers)EEG and Brain-Computer Interfaces (7 papers)Topic Modeling (6 papers)
- Partner nations
- IranSaudi ArabiaUnited States
In The Last Decade
Mir Mohsen Pedram
72 papers receiving 850 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 278
- Cognitive Neuroscience 221
- Industrial and Manufacturing Engineering 97
- Electrical and Electronic Engineering 89
- Information Systems 88
Countries citing papers authored by Mir Mohsen Pedram
This map shows the geographic impact of Mir Mohsen Pedram'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 Mir Mohsen Pedram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mir Mohsen Pedram more than expected).
Fields of papers citing papers by Mir Mohsen Pedram
This network shows the impact of papers produced by Mir Mohsen Pedram. 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 Mir Mohsen Pedram. The network helps show where Mir Mohsen Pedram may publish in the future.
Co-authorship network of co-authors of Mir Mohsen Pedram
This figure shows the co-authorship network connecting the top 25 collaborators of Mir Mohsen Pedram. A scholar is included among the top collaborators of Mir Mohsen Pedram 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 Mir Mohsen Pedram. Mir Mohsen Pedram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | Improving the Performance of Text Sentiment Analysis using Deep Convolutional Neural Network Integrated with Hierarchical Attention Layer | 5 |
| 13 | 59 | |
| 14 | 102 | |
| 15 | 5 | |
| 16 | Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence | 1 |
| 17 | 32 | |
| 18 | 2 | |
| 19 | Generation units maintenance scheduling considering gas network constraints | 4 |
| 20 | PROJECTS-BASED EVOLUTIONARY APPROACH FOR DEVELOPING PRACTICAL SKILLS IN MEASUREMENT AND DATA ACQUISITION | 1 |
About Mir Mohsen Pedram
Mir Mohsen Pedram is a scholar working on Artificial Intelligence, Information Systems and Architecture, having authored 78 papers that have together received 889 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Cognitive Neuroscience (221 citations), Industrial and Manufacturing Engineering (97 citations) and Health Informatics (12 citations). Mir Mohsen Pedram has collaborated with scholars based in Iran, Saudi Arabia and United States. Frequent co-authors include Hossein Sadr, Arash Sharifi, Mohammad Teshnehlab, Hasan Imam, Alireza Moradi, Amir Masoud Rahmani, Abolfazl Mirzazadeh, Maziar Palhang, G. Reza Yousefi and Mohd Alsaleh. Their work appears in journals such as Scientific Reports, IEEE Access and Journal of Biomechanics.
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.