Dilli Ganesh

847 citations
32 papers · 360 · h-index 11

Impact in

Papers in

Dilli Ganesh

23 papers receiving 339 citations

Peers

Dilli Ganesh
Comparison fields: 5 of 61
  • Computer Networks and Communications 82
  • Industrial and Manufacturing Engineering 28
  • Computer Vision and Pattern Recognition 44
  • Artificial Intelligence 70
  • Information Systems 45
Replace R. M. Bommi with:
R. M. Bommi India
K. Thinakaran India
S. John Justin Thangaraj India
Pınar Kirci Türkiye
C. Rohith Bhat India
Gandikota Ramu India
Mustapha Hain Morocco
Yirga Yayeh Munaye Ethiopia
Vivek Jaglan India
M. Gunasekaran India
Dilli Ganesh relative to R. M. Bommi India R. M. Bommi's profile →
Citations per field
00.5×1.6×
R. M. Bommi · 1×
Citations per year

Countries citing papers authored by Dilli Ganesh

Since Specialization
Citations

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

Fields of papers citing papers by Dilli Ganesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Dilli Ganesh, 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 Dilli Ganesh Line = papers co-authored together Dilli Ganesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202259
2 202251
3 202343
4 202338
5 202335
6 202422
7 202317
8 202316
9 202215
10 202314
11 202313
12 202310
13 20255
14 20243
15 20203
16 20203
17 20233
18 20253
19 20212
20 20252

About Dilli Ganesh

Dilli Ganesh is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Computational Mechanics, Artificial Intelligence and Information Systems, having authored 32 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (10 papers), Surface Roughness and Optical Measurements (6 papers), Advanced Machining and Optimization Techniques (5 papers), Blockchain Technology Applications and Security (3 papers), Advanced Surface Polishing Techniques (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Underwater Vehicles and Communication Systems (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Computer Networks and Communications (82 citations), Industrial and Manufacturing Engineering (28 citations), Computer Vision and Pattern Recognition (44 citations), Artificial Intelligence (70 citations) and Information Systems (45 citations). Dilli Ganesh has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include R. M. Bommi, S. John Justin Thangaraj, Syed Noeman Taqui, K. Thinakaran, M. Ramkumar Raja, S. Surendran, Ahmed Alhussen, M. Ayyadurai, M. Saravanan and Sivaprakasam Palani. Their work appears in journals such as Machining Science and Technology, Journal of Materials Engineering and Performance, Materials Today Proceedings, Materials science forum and International Journal of Advanced Trends in Computer Science and Engineering.

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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