Ehsan Lotfi
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Neural Networks and Applications 10
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Fuzzy Logic and Control Systems 4
- Co-authors
- Mohammad-R. Akbarzadeh-T (7 shared papers)Walter Daelemans (8 shared papers)Abbas Khosravi (5 shared papers)Saeid Nahavandi (5 shared papers)Saeed Setayeshi (1 shared paper)Ilia Markov (2 shared papers)Jeska Buhmann (5 shared papers)Mahdi Yaghoobi (2 shared papers)
In The Last Decade
Ehsan Lotfi
41 papers receiving 555 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 252
- Cognitive Neuroscience 132
- Experimental and Cognitive Psychology 65
- Environmental Engineering 50
- Signal Processing 29
Countries citing papers authored by Ehsan Lotfi
This map shows the geographic impact of Ehsan Lotfi'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 Ehsan Lotfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Lotfi more than expected).
Fields of papers citing papers by Ehsan Lotfi
This network shows the impact of papers produced by Ehsan Lotfi. 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 Ehsan Lotfi. The network helps show where Ehsan Lotfi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Lotfi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 109 | |
| 2 | 2013 | 58 | |
| 3 | 2013 | 54 | |
| 4 | 2016 | 47 | |
| 5 | 2014 | 42 | |
| 6 | 2020 | 28 | |
| 7 | 2014 | 27 | |
| 8 | 2022 | 23 | |
| 9 | 2013 | 21 | |
| 10 | 2018 | 18 | |
| 11 | 2014 | 17 | |
| 12 | 2023 | 14 | |
| 13 | 2017 | 14 | |
| 14 | BART for knowledge grounded conversations | 2020 | 13 |
| 15 | 2024 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2017 | 9 | |
| 18 | 2014 | 9 | |
| 19 | An Adaptive Fuzzy Filter for Gaussian Noise Reduction using Image Histogram Estimation | 2013 | 5 |
| 20 | 2025 | 4 |
About Ehsan Lotfi
Ehsan Lotfi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Electrical and Electronic Engineering and Molecular Biology, having authored 45 papers that have together received 584 indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), EEG and Brain-Computer Interfaces (5 papers), Stock Market Forecasting Methods (4 papers), Market Dynamics and Volatility (4 papers), Fuzzy Logic and Control Systems (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Artificial Intelligence (252 citations), Cognitive Neuroscience (132 citations), Experimental and Cognitive Psychology (65 citations), Environmental Engineering (50 citations) and Signal Processing (29 citations). Ehsan Lotfi has collaborated with scholars based in Iran, Belgium and Australia. Frequent co-authors include Mohammad-R. Akbarzadeh-T, Walter Daelemans, Abbas Khosravi, Saeid Nahavandi, Saeed Setayeshi, Ilia Markov, Jeska Buhmann, Mahdi Yaghoobi, Ali Mohammadi and Mahmood Barati. Their work appears in journals such as Neural Processing Letters, Neurocomputing, BMC Oral Health, Information Sciences and The Engineering Economist.
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.