L.R. Goel

95 papers receiving 568 citations

Peers

L.R. Goel
Comparison fields: 5 of 40
  • Safety, Risk, Reliability and Quality 561
  • Software 223
  • Statistics and Probability 265
  • Statistics, Probability and Uncertainty 192
  • Management Information Systems 115
Replace M.N. Gopalan with:
M.N. Gopalan India
Yeh Lam Hong Kong
Lam Yeh Hong Kong
Delia Montoro‐Cazorla Spain
Jinhua Cao Taiwan
Tzu‐Hsin Liu Taiwan
Nasser Fard United States
Miaomiao Yu China
Michael Jong Kim Canada
Chang Hoon Lie South Korea
L.R. Goel relative to M.N. Gopalan India M.N. Gopalan's profile →
Citations per field
00.5×
M.N. Gopalan · 1×
Citations per year

Countries citing papers authored by L.R. Goel

Since Specialization
Citations

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

Fields of papers citing papers by L.R. Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.R. Goel. 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 L.R. Goel. The network helps show where L.R. Goel may publish in the future.

Co-authors

The 15 scholars most cited alongside L.R. Goel, 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 L.R. Goel Line = papers co-authored together L.R. Goel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199134
2 198926
3 198224
4 199223
5 198520
6 198519
7 198516
8 198216
9 198515
10 198915
11 198414
12 198514
13 198614
14 199114
15 198914
16 198314
17 198313
18 198413
19 198513
20 198312

About L.R. Goel

L.R. Goel is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability, Software, Management Information Systems and Statistics, Probability and Uncertainty, having authored 100 papers that have together received 664 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (81 papers), Statistical Distribution Estimation and Applications (38 papers), Software Reliability and Analysis Research (37 papers), Advanced Queuing Theory Analysis (23 papers), Risk and Safety Analysis (14 papers), Probability and Risk Models (8 papers), Probabilistic and Robust Engineering Design (5 papers) and Management and Optimization Techniques (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (561 citations), Software (223 citations), Statistics and Probability (265 citations), Statistics, Probability and Uncertainty (192 citations) and Management Information Systems (115 citations). L.R. Goel has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Rakesh Gupta, P.P. Gupta, N. K. Jaiswal, Gaurav Sharma, Shubham Singh, R.K. Agnihotri, Vinay Kumar Tyagi, Rajiv Kumar Garg, Rakesh K. Goel and Virendra Singh Rana. Their work appears in journals such as Microelectronics Reliability, International Journal of Systems Science, IEEE Transactions on Reliability, Physical review. D and Reliability Engineering & System Safety.

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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