S.D. Katebi
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Information Systems top 10%
- Control and Systems Engineering
- Co-authors
- Eghbal G. MansooriMansoor Zolghadri JahromiMalihe SabetiReza BoostaniGregory PriceMahdi EftekhariSaeedeh ShekarpourGhassem Habibagahi
- Topics
- Fuzzy Logic and Control Systems (7 papers)Neural dynamics and brain function (5 papers)Neural Networks and Applications (5 papers)
- Partner nations
- IranUnited KingdomAustralia
In The Last Decade
S.D. Katebi
28 papers receiving 585 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 303
- Cognitive Neuroscience 161
- Molecular Biology 63
- Information Systems 61
- Control and Systems Engineering 58
Countries citing papers authored by S.D. Katebi
This map shows the geographic impact of S.D. Katebi'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 S.D. Katebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.D. Katebi more than expected).
Fields of papers citing papers by S.D. Katebi
This network shows the impact of papers produced by S.D. Katebi. 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 S.D. Katebi. The network helps show where S.D. Katebi may publish in the future.
Co-authorship network of co-authors of S.D. Katebi
This figure shows the co-authorship network connecting the top 25 collaborators of S.D. Katebi. A scholar is included among the top collaborators of S.D. Katebi 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 S.D. Katebi. S.D. Katebi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 10 | |
| 7 | 38 | |
| 8 | 14 | |
| 9 | A Fuzzy Approach to Clustering and Selecting Features for Classification of Gene Expression Data | 6 |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 45 | |
| 14 | 38 | |
| 15 | 43 | |
| 16 | An Efficient Text Segmentation Technique Based on Naive Bayes Classifier | 4 |
| 17 | 2 | |
| 18 | Control design for multivariable multivalued nonlinear systems | 3 |
| 19 | 8 | |
| 20 | 0 |
About S.D. Katebi
S.D. Katebi is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience, having authored 31 papers that have together received 629 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (7 papers), Neural dynamics and brain function (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (303 citations), Cognitive Neuroscience (161 citations) and Signal Processing (49 citations). S.D. Katebi has collaborated with scholars based in Iran, United Kingdom and Australia. Frequent co-authors include Eghbal G. Mansoori, Mansoor Zolghadri Jahromi, Malihe Sabeti, Reza Boostani, Gregory Price, Mahdi Eftekhari, Saeedeh Shekarpour, Ghassem Habibagahi, Mahmood Karimi and A. Jahanmiri. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.
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.