G. Geetha

589 citations
51 papers · 356 · h-index 10

Impact in

Papers in

G. Geetha

46 papers receiving 317 citations

Peers

G. Geetha
Comparison fields: 5 of 76
  • Information Systems 107
  • Computer Vision and Pattern Recognition 87
  • Artificial Intelligence 105
  • Computer Science Applications 17
  • Business and International Management 5
Replace M. Safa with:
M. Safa India
Fahd S. Alharithi Saudi Arabia
Komal Kumar Bhatia India
Safia Abbas Egypt
T Devi. India
Ebin Deni Raj India
Abdiansah Abdiansah Indonesia
Y. A. Tang China
Yuanyuan Cai China
Renas Rajab Asaad Iraq
G. Geetha relative to M. Safa India M. Safa's profile →
Citations per field
00.5×4.3×
M. Safa · 1×
Citations per year

Countries citing papers authored by G. Geetha

Since Specialization
Citations

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

Fields of papers citing papers by G. Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside G. Geetha, 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 G. Geetha Line = papers co-authored together G. Geetha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 202045
3 201617
4 202014
5 201614
6 202014
7 201412
8 202110
9 201510
10 201910
11 20236
12 20226
13 20176
14 20185
15 20155
16 20065
17 20225
18 20205
19 20174
20 20154

About G. Geetha

G. Geetha is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 51 papers that have together received 356 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), IoT-based Smart Home Systems (5 papers), Optical Network Technologies (5 papers), AI in cancer detection (4 papers), graph theory and CDMA systems (4 papers), Network Security and Intrusion Detection (4 papers), Mobile Agent-Based Network Management (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Information Systems (107 citations), Computer Vision and Pattern Recognition (87 citations), Artificial Intelligence (105 citations), Computer Science Applications (17 citations) and Business and International Management (5 citations). G. Geetha has collaborated with scholars based in India, Israel and Germany. Frequent co-authors include M. Safa, G. Saranya, K. Meenakshi, M. Nithya, C. Jayakumar, M. Meenakshi, V. Rajendran, Anuj Sharma, S. Suganya and M. Thenmozhi. Their work appears in journals such as Microwave and Optical Technology Letters, Optical Fiber Technology, IEEE Systems Journal, Arabian Journal for Science and Engineering and Optical and Quantum Electronics.

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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