Abhijeet V. Nandedkar
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Computer Networks and Communications
- Computational Theory and Mathematics top 10%
- Co-authors
- Prabir Kumar BiswasIbrahima FayeAjay Sharma
- Topics
- Neural Networks and Applications (7 papers)Fuzzy Logic and Control Systems (6 papers)Network Security and Intrusion Detection (3 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
In The Last Decade
Abhijeet V. Nandedkar
19 papers receiving 332 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 233
- Computer Vision and Pattern Recognition 130
- Plant Science 61
- Computer Networks and Communications 52
- Computational Theory and Mathematics 37
Countries citing papers authored by Abhijeet V. Nandedkar
This map shows the geographic impact of Abhijeet V. Nandedkar'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 Abhijeet V. Nandedkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijeet V. Nandedkar more than expected).
Fields of papers citing papers by Abhijeet V. Nandedkar
This network shows the impact of papers produced by Abhijeet V. Nandedkar. 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 Abhijeet V. Nandedkar. The network helps show where Abhijeet V. Nandedkar may publish in the future.
Co-authorship network of co-authors of Abhijeet V. Nandedkar
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijeet V. Nandedkar. A scholar is included among the top collaborators of Abhijeet V. Nandedkar 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 Abhijeet V. Nandedkar. Abhijeet V. Nandedkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 11 | |
| 5 | 26 | |
| 6 | 48 | |
| 7 | 63 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | A General Reflex Fuzzy Min-Max Neural Network | 22 |
| 15 | 82 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 5 |
About Abhijeet V. Nandedkar
Abhijeet V. Nandedkar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 19 papers that have together received 359 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (6 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Artificial Intelligence (233 citations), Computer Vision and Pattern Recognition (130 citations) and Computational Theory and Mathematics (37 citations). Abhijeet V. Nandedkar has collaborated with scholars based in India, Malaysia and Indonesia. Frequent co-authors include Prabir Kumar Biswas, Ibrahima Faye and Ajay Sharma. Their work appears in journals such as Neurocomputing, Computers and Electronics in Agriculture and Computer Methods and Programs in Biomedicine.
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.