N. Gomathi

547 citations
43 papers · 406 · h-index 10

Impact in

Papers in

N. Gomathi

38 papers receiving 375 citations

Peers

N. Gomathi
Comparison fields: 5 of 74
  • Artificial Intelligence 177
  • Computer Networks and Communications 119
  • Health Information Management 21
  • Computer Vision and Pattern Recognition 93
  • Media Technology 34
Replace S. Praveena with:
S. Praveena India
Ruliang Xiao China
Marwa Sharawi Egypt
Su Pan China
Aloysius George United States
Nagaraju Devarakonda India
Diaa Salama Abd Elminaam Egypt
Duan Fu China
Daniel Iercan Romania
Shang Zheng China
N. Gomathi relative to S. Praveena India S. Praveena's profile →
Citations per field
00.5×
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 8 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 201964
3 201837
4 201831
5 201721
6 201618
7 201817
8 201917
9 201914
10 201914
11 20248
12 20196
13 20246
14 20196
15 20185
16 20165
17 20235
18
Smart Agriculture System Towards Iot Based Wireless Sensor Network
20214
19 20184
20 20174

About N. Gomathi

N. Gomathi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 43 papers that have together received 406 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), Mobile Ad Hoc Networks (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), Face and Expression Recognition (4 papers), Privacy-Preserving Technologies in Data (4 papers), Brain Tumor Detection and Classification (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Computer Networks and Communications (119 citations), Health Information Management (21 citations), Computer Vision and Pattern Recognition (93 citations) and Media Technology (34 citations). N. Gomathi has collaborated with scholars based in India and United States. Frequent co-authors include S. Karthick, Sanjay Kumar Suman, L. Bhagyalakshmi, A. Govardhan, Mohamed Ahzam Amanullah, K. Saravanan, Hae Young Noh and Ajay Bandi. Their work appears in journals such as Advances in Complex Systems, Alexandria Engineering Journal, The Imaging Science Journal, 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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