H.G. Lele

400 citations
34 papers · 251 · h-index 9

Impact in

Papers in

H.G. Lele

34 papers receiving 248 citations

Peers

H.G. Lele
Comparison fields: 5 of 29
  • Aerospace Engineering 204
  • Statistics, Probability and Uncertainty 40
  • Safety, Risk, Reliability and Quality 34
  • Materials Chemistry 153
  • Computational Mechanics 23
Replace L. Oriani with:
L. Oriani United States
Davor Grgić Croatia
Andrej Prošek Slovenia
Yoshinari Anoda Japan
Pavlin Groudev Bulgaria
Dmitry Grishchenko Sweden
F. D’Auria Italy
F. Mascari Italy
F. Reventós Spain
F. Moretti Italy
H.G. Lele relative to L. Oriani United States L. Oriani's profile →
Citations per field
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L. Oriani · 1×
Citations per year

Countries citing papers authored by H.G. Lele

Since Specialization
Citations

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

Fields of papers citing papers by H.G. Lele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201033
2 201125
3 201022
4 201018
5 201714
6 201014
7 200811
8 20119
9 20138
10 20138
11 20117
12 20126
13 20086
14 20096
15 20135
16 20135
17 20125
18 20115
19 20114
20 20124

About H.G. Lele

H.G. Lele is a scholar working on Aerospace Engineering, Materials Chemistry, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 34 papers that have together received 251 indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (31 papers), Nuclear reactor physics and engineering (24 papers), Nuclear Materials and Properties (20 papers), Risk and Safety Analysis (5 papers), Nuclear and radioactivity studies (5 papers), Probabilistic and Robust Engineering Design (2 papers), Heat transfer and supercritical fluids (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Aerospace Engineering (204 citations), Statistics, Probability and Uncertainty (40 citations), Safety, Risk, Reliability and Quality (34 citations), Materials Chemistry (153 citations) and Computational Mechanics (23 citations). H.G. Lele has collaborated with scholars based in India, Bulgaria and Canada. Frequent co-authors include B. Chatterjee, Debashis Mukhopadhyay, Ravi Kumar, Gopal Nandan, Pradeep K. Sahoo, Ashish Ghosh, Pavlin Groudev, H. S. Kushwaha, A. K. Srivastava and P.K. Vijayan. Their work appears in journals such as Nuclear Engineering and Design, Kerntechnik, IEEE Transactions on Nuclear Science, Annals of Nuclear Energy and Heat and Mass Transfer.

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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