G. Mahadevan

643 citations
59 papers · 347 · h-index 10

Impact in

Papers in

G. Mahadevan

44 papers receiving 306 citations

Peers

G. Mahadevan
Comparison fields: 5 of 78
  • Computer Networks and Communications 117
  • Computational Theory and Mathematics 59
  • Management of Technology and Innovation 19
  • Strategy and Management 26
  • Atomic and Molecular Physics, and Optics 50
Replace Saeed Bagheri with:
Saeed Bagheri United States
Miguel A. González Spain
Antonio Luque Spain
Davide Caputo Italy
Zongyang Zhang China
Qingsong Zhao China
Chulsoon Park South Korea
Yichuan Ding United States
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Citations per field
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Citations per year

Countries citing papers authored by G. Mahadevan

Since Specialization
Citations

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

Fields of papers citing papers by G. Mahadevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside G. Mahadevan, 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. Mahadevan Line = papers co-authored together G. Mahadevan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Experimental investigation and optimization of material removal rate and surface roughness in centerless grinding of magnesium alloy using Grey Relational Analysis
201764
2 201257
3 201940
4 201131
5 201129
6 201710
7 201210
8 20139
9 20119
10 20179
11 20139
12 20189
13 20179
14 20176
15
Authorization for secured cloud storage through SHA-256
20194
16 20113
17 20113
18 20232
19 20172
20 20192

About G. Mahadevan

G. Mahadevan is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, Biomedical Engineering and Information Systems, having authored 59 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (23 papers), Graph Labeling and Dimension Problems (20 papers), Energy Efficient Wireless Sensor Networks (8 papers), Mobile Ad Hoc Networks (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Complexity and Algorithms in Graphs (6 papers), Orbital Angular Momentum in Optics (5 papers) and Security in Wireless Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (117 citations), Computational Theory and Mathematics (59 citations), Management of Technology and Innovation (19 citations), Strategy and Management (26 citations) and Atomic and Molecular Physics, and Optics (50 citations). G. Mahadevan has collaborated with scholars based in India, Poland and Oman. Frequent co-authors include T. Senthil Kumar, S. Dinesh, M. Suresh, K. B. Rajesh, P. M. Anbarasan, Zbigniew Jaroszewicz, M. Senthilkumar, K. Prabakaran, T. Pillai and Dhayalan Velauthapillai. Their work appears in journals such as Optics & Laser Technology, Optics Communications, Alexandria Engineering Journal, Optical and Quantum Electronics and Indian Journal of Science and Technology.

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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