Sameerchand Pudaruth
- Plant Science top 10%
- Analytical Chemistry top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Avinash MungurMohamad Fawzi MahomoodallyNicolas MédardK. M. S. SoyjaudahChandani AppadooArvind KumarKingsley A. OgudoRoopesh Kevin Sungkur
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (6 papers)Smart Agriculture and AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaComplex & Intelligent SystemsMathematics
- Partner nations
- MauritiusSouth AfricaTanzania
In The Last Decade
Sameerchand Pudaruth
47 papers receiving 401 citations
Peers
Comparison fields: 5 of 98
- Plant Science 192
- Analytical Chemistry 98
- Computer Networks and Communications 76
- Computer Vision and Pattern Recognition 56
- Artificial Intelligence 51
Countries citing papers authored by Sameerchand Pudaruth
This map shows the geographic impact of Sameerchand Pudaruth'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 Sameerchand Pudaruth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameerchand Pudaruth more than expected).
Fields of papers citing papers by Sameerchand Pudaruth
This network shows the impact of papers produced by Sameerchand Pudaruth. 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 Sameerchand Pudaruth. The network helps show where Sameerchand Pudaruth may publish in the future.
Co-authorship network of co-authors of Sameerchand Pudaruth
This figure shows the co-authorship network connecting the top 25 collaborators of Sameerchand Pudaruth. A scholar is included among the top collaborators of Sameerchand Pudaruth 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 Sameerchand Pudaruth. Sameerchand Pudaruth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | Generating Horse Racing Tips at the Champs De March Using Fuzzy Logic | 1 |
About Sameerchand Pudaruth
Sameerchand Pudaruth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human Factors and Ergonomics, having authored 57 papers that have together received 441 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Analytical Chemistry (98 citations), Plant Science (192 citations) and Computer Networks and Communications (76 citations). Sameerchand Pudaruth has collaborated with scholars based in Mauritius, South Africa and Tanzania. Frequent co-authors include Avinash Mungur, Mohamad Fawzi Mahomoodally, Nicolas Médard, K. M. S. Soyjaudah, Chandani Appadoo, Arvind Kumar, Kingsley A. Ogudo, Roopesh Kevin Sungkur and Maleika Heenaye-Mamode Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Complex & Intelligent Systems and Mathematics.
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.