N. Gomathi

537 citations
35 papers · 361 · h-index 10

Impact in

Papers in

N. Gomathi

32 papers receiving 332 citations

Peers

N. Gomathi
Comparison fields: 5 of 74
  • Artificial Intelligence 153
  • Computer Networks and Communications 107
  • Health Information Management 21
  • Computer Vision and Pattern Recognition 88
  • Media Technology 31
Replace S. Praveena with:
S. Praveena India
Marwa Sharawi Egypt
Lucija Brezočnik Slovenia
Bhaskar Pant India
Ali I. El-Desouky Egypt
Shang Zheng China
Aloysius George United States
T. Manikandan India
Diaa Salama Abd Elminaam Egypt
Nagaraju Devarakonda India
N. Gomathi relative to S. Praveena India S. Praveena's profile →
Citations per field
00.5×1.5×2.4×
S. Praveena · 1×
Citations per year

Countries citing papers authored by N. Gomathi

Since Specialization
Citations

This map shows the geographic impact of N. Gomathi'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 N. Gomathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Gomathi more than expected).

Fields of papers citing papers by N. Gomathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Gomathi. 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 N. Gomathi. The network helps show where N. Gomathi may publish in the future.

Co-authors

The 4 scholars most cited alongside N. Gomathi, 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 N. Gomathi Line = papers co-authored together N. Gomathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 201962
3 201834
4 201828
5 201720
6 201618
7 201916
8 201814
9 201913
10 201912
11 20248
12 20196
13 20196
14 20165
15 20245
16
Smart Agriculture System Towards Iot Based Wireless Sensor Network
20214
17 20184
18 20234
19 20173
20 20233

About N. Gomathi

N. Gomathi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 35 papers that have together received 361 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), Mobile Ad Hoc Networks (5 papers), Face and Expression Recognition (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Brain Tumor Detection and Classification (4 papers), Advanced Clustering Algorithms Research (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Computer Networks and Communications (107 citations), Health Information Management (21 citations), Computer Vision and Pattern Recognition (88 citations) and Media Technology (31 citations). N. Gomathi has collaborated with scholars based in India. Frequent co-authors include L. Bhagyalakshmi, Sanjay Kumar Suman, S. Karthick and A. Govardhan. Their work appears in journals such as Advances in Complex Systems, Alexandria Engineering Journal, Journal of Central South University, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Bulletin of the Polish Academy of Sciences Technical Sciences.

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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