Rajesh Doriya
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- G. C. NandiSaurabh JainPavan ChakrabortySatya Prakash SahuSaroj Kumar PandeyPankaj DadheechG. R. SinhaAnkit Kumar
- Topics
- Robotics and Automated Systems (15 papers)IoT and Edge/Fog Computing (15 papers)Modular Robots and Swarm Intelligence (10 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- IndiaSaudi ArabiaNorway
In The Last Decade
Rajesh Doriya
49 papers receiving 358 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 131
- Computer Vision and Pattern Recognition 114
- Control and Systems Engineering 109
- Mechanical Engineering 82
- Artificial Intelligence 75
Countries citing papers authored by Rajesh Doriya
This map shows the geographic impact of Rajesh Doriya'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 Rajesh Doriya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Doriya more than expected).
Fields of papers citing papers by Rajesh Doriya
This network shows the impact of papers produced by Rajesh Doriya. 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 Rajesh Doriya. The network helps show where Rajesh Doriya may publish in the future.
Co-authorship network of co-authors of Rajesh Doriya
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Doriya. A scholar is included among the top collaborators of Rajesh Doriya 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 Rajesh Doriya. Rajesh Doriya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 53 | |
| 20 | 27 |
About Rajesh Doriya
Rajesh Doriya is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 53 papers that have together received 370 indexed citations. Recurring topics across this work include Robotics and Automated Systems (15 papers), IoT and Edge/Fog Computing (15 papers) and Modular Robots and Swarm Intelligence (10 papers). The work is most often cited by research in Computer Networks and Communications (131 citations), Computer Vision and Pattern Recognition (114 citations) and Control and Systems Engineering (109 citations). Rajesh Doriya has collaborated with scholars based in India, Saudi Arabia and Norway. Frequent co-authors include G. C. Nandi, Saurabh Jain, Pavan Chakraborty, Satya Prakash Sahu, Saroj Kumar Pandey, Pankaj Dadheech, G. R. Sinha, Ankit Kumar, Mohammad Farukh Hashmi and Neeraj Dhanraj Bokde. Their work appears in journals such as IEEE Access, IEEE Sensors Journal and Multimedia Tools and Applications.
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.