Dilip Roy

55 papers receiving 696 citations

Peers

Dilip Roy
Comparison fields: 5 of 103
  • Statistics and Probability 485
  • Statistics, Probability and Uncertainty 257
  • Safety, Risk, Reliability and Quality 168
  • Marketing 102
  • Management Science and Operations Research 134
Replace Lai K. Chan with:
Lai K. Chan Canada
Katrien Antonio Belgium
Masami Miyakawa Japan
Dalen T. Chiang United States
Ulrich Menzefricke Canada
Roger C. Pfaffenberger United States
Ching-Hui Chang Taiwan
Satish Chandra India
Takamitsu Sawa Japan
Necip Doganaksoy United States
Dilip Roy relative to Lai K. Chan Canada Lai K. Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dilip Roy

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Dilip Roy, 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 Dilip Roy Line = papers co-authored together Dilip Roy 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 2001136
2 2003123
3 200765
4 199248
5 201435
6 199932
7 199618
8 200218
9 198617
10 198914
11 200214
12 201214
13 201313
14 198913
15 201313
16 198911
17 198611
18 200210
19 19989
20 19889

About Dilip Roy

Dilip Roy is a scholar working on Statistics and Probability, Management Science and Operations Research, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 59 papers that have together received 753 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (34 papers), Reliability and Maintenance Optimization (17 papers), Probabilistic and Robust Engineering Design (15 papers), Probability and Risk Models (12 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Bayesian Methods and Mixture Models (6 papers), Assembly Line Balancing Optimization (5 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). The work is most often cited by research in Statistics and Probability (485 citations), Statistics, Probability and Uncertainty (257 citations), Safety, Risk, Reliability and Quality (168 citations), Marketing (102 citations) and Management Science and Operations Research (134 citations). Dilip Roy has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Saikat Banerjee, Ritu Gupta, Rupesh Gupta, Subhajyoti Mukherjee, Sarit Mukherjee, Laxminarayan Sahoo, Asoke Kumar Bhunia, Goutam Saha, Goutam Saha and Prasanta K. Jana. Their work appears in journals such as Microelectronics Reliability, International Journal of Quality & Reliability Management, Journal of Multivariate Analysis, Probability in the Engineering and Informational Sciences and Journal of Applied Probability.

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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