R. Pitchai
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Ophthalmology top 10%
- Co-authors
- J. RajaP. SuprajaShivnath BabuCh. Madhu BabuM. BalamuruganA. Razia SulthanaAnil KumarAbid Hussain
- Topics
- Smart Agriculture and AI (6 papers)Face recognition and analysis (4 papers)ECG Monitoring and Analysis (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Soft ComputingBiomedical Signal Processing and Control
- Partner nations
- IndiaEthiopiaUnited Arab Emirates
In The Last Decade
R. Pitchai
29 papers receiving 184 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 59
- Computer Networks and Communications 46
- Signal Processing 44
- Radiology, Nuclear Medicine and Imaging 43
- Ophthalmology 29
Countries citing papers authored by R. Pitchai
This map shows the geographic impact of R. Pitchai'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 R. Pitchai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Pitchai more than expected).
Fields of papers citing papers by R. Pitchai
This network shows the impact of papers produced by R. Pitchai. 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 R. Pitchai. The network helps show where R. Pitchai may publish in the future.
Co-authorship network of co-authors of R. Pitchai
This figure shows the co-authorship network connecting the top 25 collaborators of R. Pitchai. A scholar is included among the top collaborators of R. Pitchai 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 R. Pitchai. R. Pitchai 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | NEW APPROACH TO SOLVE UNBALANCED TRANSPORTATION PROBLEMS USING VOGELS APPROXIMATION METHOD | 1 |
| 16 | NEW APPROACH TO SOLVE UNBALANCED TRANSPORTATION PROBLEMS USING LEAST COST METHOD | 1 |
| 17 | 28 | |
| 18 | 20 | |
| 19 | Online Voting System Using Cloud Computing | 0 |
| 20 | Analyses of a Markovian queue with two heterogeneous servers and working vacation | 3 |
About R. Pitchai
R. Pitchai is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Information Systems, having authored 37 papers that have together received 210 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Face recognition and analysis (4 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Signal Processing (44 citations), Ophthalmology (29 citations) and Computer Vision and Pattern Recognition (59 citations). R. Pitchai has collaborated with scholars based in India, Ethiopia and United Arab Emirates. Frequent co-authors include J. Raja, P. Supraja, Shivnath Babu, Ch. Madhu Babu, M. Balamurugan, A. Razia Sulthana, Anil Kumar, J. Raja and Abid Hussain. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Biomedical Signal Processing and Control.
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.