Rakesh Katuwal
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Neurology
- Control and Systems Engineering
- Topics
- Machine Learning and ELM (8 papers)Face and Expression Recognition (7 papers)Neural Networks and Applications (6 papers)
- Journals
- Pattern RecognitionApplied Soft ComputingProcedia Computer Science
In The Last Decade
Rakesh Katuwal
10 papers receiving 582 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 368
- Computer Vision and Pattern Recognition 162
- Electrical and Electronic Engineering 99
- Neurology 62
- Control and Systems Engineering 42
Countries citing papers authored by Rakesh Katuwal
This map shows the geographic impact of Rakesh Katuwal'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 Rakesh Katuwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Katuwal more than expected).
Fields of papers citing papers by Rakesh Katuwal
This network shows the impact of papers produced by Rakesh Katuwal. 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 Rakesh Katuwal. The network helps show where Rakesh Katuwal may publish in the future.
Co-authorship network of co-authors of Rakesh Katuwal
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Katuwal. A scholar is included among the top collaborators of Rakesh Katuwal 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 Rakesh Katuwal. Rakesh Katuwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | Random vector functional link neural network based ensemble deep learningbreakdown → | 196 |
| 3 | 101 | |
| 4 | 43 | |
| 5 | 88 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | 39 | |
| 9 | 3 | |
| 10 | 67 |
About Rakesh Katuwal
Rakesh Katuwal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 10 papers that have together received 590 indexed citations. Recurring topics across this work include Machine Learning and ELM (8 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (368 citations), Computer Vision and Pattern Recognition (162 citations) and Neurology (62 citations). Rakesh Katuwal has collaborated with scholars based in Singapore, Qatar and India. Frequent co-authors include Ponnuthurai Nagaratnam Suganthan, Le Zhang, M. Tanveer, Minghui Hu and Xueheng Qiu. Their work appears in journals such as Pattern Recognition, Applied Soft Computing and Procedia Computer 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.