Ashish Kumar

6.3k citations
139 papers · 1.0k · h-index 16

Impact in

Papers in

Ashish Kumar

125 papers receiving 952 citations

Peers

Ashish Kumar
Comparison fields: 5 of 138
  • Software 108
  • Safety, Risk, Reliability and Quality 240
  • Statistics, Probability and Uncertainty 82
  • Statistics and Probability 91
  • Marketing 87
Replace Fermín Mallor with:
Fermín Mallor Spain
Antonio Pievatolo Italy
James T. Luxhøj United States
Indra Gunawan Australia
Zijian Zheng United States
Mohammad Sheikhalishahi Iran
Mingyang Li China
Tapas K. Das United States
Aart van Harten Netherlands
Lance Sherry United States
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Citations per field
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Citations per year

Countries citing papers authored by Ashish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202345
2 201841
3 202234
4 201834
5 202231
6 201929
7 200728
8 202227
9 202022
10 201920
11 202220
12 201920
13 202319
14 201916
15 201716
16 201815
17 202114
18 201414
19
RELIABILITY MODELING OF A COMPUTER SYSTEM WITH PRIORITY TO S/W REPLACEMENT OVER H/W REPLACEMENT SUBJECT TO MOT AND MRT
201214
20 201614

About Ashish Kumar

Ashish Kumar is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics and Probability, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 139 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (40 papers), Software Reliability and Analysis Research (19 papers), Statistical Distribution Estimation and Applications (13 papers), Fault Detection and Control Systems (8 papers), Power System Reliability and Maintenance (8 papers), Probabilistic and Robust Engineering Design (7 papers), Survey Sampling and Estimation Techniques (6 papers) and Risk and Safety Analysis (6 papers). The work is most often cited by research in Software (108 citations), Safety, Risk, Reliability and Quality (240 citations), Statistics, Probability and Uncertainty (82 citations), Statistics and Probability (91 citations) and Marketing (87 citations). Ashish Kumar has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Monika Saini, S. C. Malik, Nivedita Gupta, Deepak Sinwar, Jitendra Malik, Teck Ming Tan, Jari Salo, Jouni Juntunen, Dinesh Kumar Saini and Deepak Pathak. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Journal of Retailing and Consumer Services, Quality and Reliability Engineering International, PLoS ONE and Mathematical Social Sciences.

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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