Sameerchand Pudaruth

832 citations
67 papers · 559 · h-index 9

Impact in

Papers in

Sameerchand Pudaruth

56 papers receiving 512 citations

Peers

Sameerchand Pudaruth
Comparison fields: 5 of 104
  • Analytical Chemistry 110
  • Plant Science 219
  • Computer Networks and Communications 92
  • Computer Vision and Pattern Recognition 64
  • Artificial Intelligence 97
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Citations per field
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Citations per year

Countries citing papers authored by Sameerchand Pudaruth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 11 scholars most cited alongside Sameerchand Pudaruth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sameerchand Pudaruth Line = papers co-authored together Sameerchand Pudaruth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015155
2 201781
3 202160
4 201833
5 201528
6 202117
7 202117
8 201715
9 201411
10 20218
11 20218
12 20218
13 20137
14 20225
15 20205
16 20085
17 20165
18 20135
19 20165
20 20175

About Sameerchand Pudaruth

Sameerchand Pudaruth is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 67 papers that have together received 559 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Artificial Intelligence in Law (5 papers), Smart Agriculture and AI (5 papers), Hate Speech and Cyberbullying Detection (4 papers), IoT and Edge/Fog Computing (4 papers), Advanced Text Analysis Techniques (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Analytical Chemistry (110 citations), Plant Science (219 citations), Computer Networks and Communications (92 citations), Computer Vision and Pattern Recognition (64 citations) and Artificial Intelligence (97 citations). Sameerchand Pudaruth has collaborated with scholars based in Mauritius, South Africa and United States. Frequent co-authors include Avinash Mungur, Mohamad Fawzi Mahomoodally, Nadeem Nazurally, Chandani Appadoo, Nicolas Médard, K. M. S. Soyjaudah, Arvind Kumar, Kingsley A. Ogudo, Roopesh Kevin Sungkur and Maleika Heenaye-Mamode Khan. Their work appears in journals such as Informatics, Environmental Hazards, African Journal of Disability, Complex & Intelligent Systems and International Journal of Communication Networks and Information Security (IJCNIS).

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.

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