G. Agarwal

803 citations
45 papers · 639 · h-index 13

Impact in

Papers in

    • Microstructure and Mechanical Properties of Steels 8
    • Welding Techniques and Residual Stresses 7
    • Advanced machining processes and optimization 4
    • Advanced Surface Polishing Techniques 5

G. Agarwal

43 papers receiving 620 citations

Peers

G. Agarwal
Comparison fields: 5 of 71
  • Mechanical Engineering 291
  • Metals and Alloys 17
  • Atomic and Molecular Physics, and Optics 174
  • Ceramics and Composites 23
  • Artificial Intelligence 135
Replace Taikai Liu with:
Taikai Liu China
C. G. Park South Korea
Andrew Rohskopf United States
Gábor Csiszár Hungary
Hongjian Zhou China
Wei Lan China
M. Attarian Shandiz Canada
Brian J. Simonds United States
Shotaro HARA Japan
Ioannis Papadimitriou United Kingdom
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Citations per field
00.5×3.3×
Taikai Liu · 1×
Citations per year

Countries citing papers authored by G. Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by G. Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Agarwal, 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. Agarwal Line = papers co-authored together G. Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 199178
3 201956
4 199338
5 201537
6 201733
7 201826
8 201425
9 200223
10 199121
11 200020
12 201719
13 197714
14 201712
15 201812
16 201311
17 201710
18 20189
19 20139
20 20138

About G. Agarwal

G. Agarwal is a scholar working on Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 45 papers that have together received 639 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (8 papers), Quantum Information and Cryptography (8 papers), Welding Techniques and Residual Stresses (7 papers), Metallurgy and Material Forming (5 papers), Advanced Surface Polishing Techniques (5 papers), Aluminum Alloy Microstructure Properties (4 papers), Advanced machining processes and optimization (4 papers) and Mechanical and Optical Resonators (4 papers). The work is most often cited by research in Mechanical Engineering (291 citations), Metals and Alloys (17 citations), Atomic and Molecular Physics, and Optics (174 citations), Ceramics and Composites (23 citations) and Artificial Intelligence (135 citations). G. Agarwal has collaborated with scholars based in India, Netherlands and United States. Frequent co-authors include M. J. M. Hermans, Ankit Kumar, H. Walther, Marlan O. Scully, I. M. Richardson, Murugaiyan Amirthalingam, W. P. Schleich, Michael Herbig, Jilt Sietsma and Roumen Petrov. Their work appears in journals such as Physical Review A, Journal of Non-Crystalline Solids, Science and Technology of Welding & Joining, Acta Materialia and Wear.

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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