Masoud Nikravesh
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Ocean Engineering top 2%
- Molecular Biology
- Mechanical Engineering top 10%
- Co-authors
- Isabelle GuyonS.R. GunnLotfi A. ZadehFred AminzadehSteve GunnP.M. WongBen AzvineMasoud Soroush
- Topics
- Reservoir Engineering and Simulation Methods (19 papers)Hydraulic Fracturing and Reservoir Analysis (14 papers)Fuzzy Logic and Control Systems (11 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Masoud Nikravesh
57 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 947
- Computer Vision and Pattern Recognition 430
- Ocean Engineering 301
- Molecular Biology 285
- Mechanical Engineering 270
Countries citing papers authored by Masoud Nikravesh
This map shows the geographic impact of Masoud Nikravesh'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 Masoud Nikravesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Nikravesh more than expected).
Fields of papers citing papers by Masoud Nikravesh
This network shows the impact of papers produced by Masoud Nikravesh. 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 Masoud Nikravesh. The network helps show where Masoud Nikravesh may publish in the future.
Co-authorship network of co-authors of Masoud Nikravesh
This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Nikravesh. A scholar is included among the top collaborators of Masoud Nikravesh 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 Masoud Nikravesh. Masoud Nikravesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Feature extraction : foundations and applicationsbreakdown → | 1105 |
| 2 | Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing) | 300 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Fuzzy Partial Differential Equations and Relational Equations: Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing, V. 142) | 9 |
| 6 | Enhancing the Power of the Internet (Studies in Fuzziness and Soft Computing, V. 139) | 3 |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 66 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 60 | |
| 15 | 17 | |
| 16 | 22 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 20 | |
| 20 | 3 |
About Masoud Nikravesh
Masoud Nikravesh is a scholar working on Ocean Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (19 papers), Hydraulic Fracturing and Reservoir Analysis (14 papers) and Fuzzy Logic and Control Systems (11 papers). The work is most often cited by research in Artificial Intelligence (947 citations), Computer Vision and Pattern Recognition (430 citations) and Ocean Engineering (301 citations). Masoud Nikravesh has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Isabelle Guyon, S.R. Gunn, Lotfi A. Zadeh, Fred Aminzadeh, Steve Gunn, P.M. Wong, Ben Azvine, Masoud Soroush, Tom Gedeon and Zhiheng Huang. Their work appears in journals such as Chemical Engineering Journal, Expert Systems with Applications and Chemical Engineering Science.
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.