Akshay Kumar

2.4k citations
97 papers · 593 indexed · h-index 14

Impact in

Papers in

Akshay Kumar

80 papers receiving 570 citations

Peers

Akshay Kumar
Comparison fields: 5 of 111
  • Safety, Risk, Reliability and Quality 178
  • Statistics, Probability and Uncertainty 120
  • Software 60
  • Statistics and Probability 73
  • Management Science and Operations Research 95
Replace Jørn Vatn with:
Jørn Vatn Norway
Yao Cheng United States
Zhenglin Liang China
Mohamed Arezki Mellal Algeria
Gilberto Francisco Martha de Souza Brazil
Huadong Mo Australia
Nelson Kagan Brazil
Sofiène Dellagi France
Sohrab Asgarpoor United States
Refaul Ferdous Canada
Akshay Kumar relative to Jørn Vatn Norway Jørn Vatn's profile →
Citations per field
00.5×
Jørn Vatn · 1×
Citations per year

Countries citing papers authored by Akshay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 202429
5 20242
6 20242
7 20240
8 20237
9 20233
10 202312
11 202318
12 202314
13 202321
14 20236
15 202215
16 20223
17 202224
18 20216
19 20206
20 201215

About Akshay Kumar

Akshay Kumar is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Software, Statistics and Probability and Management Science and Operations Research, having authored 97 papers that have together received 593 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (37 papers), Risk and Safety Analysis (16 papers), Multi-Criteria Decision Making (14 papers), Statistical Distribution Estimation and Applications (13 papers), Probabilistic and Robust Engineering Design (13 papers), Software Reliability and Analysis Research (12 papers), Advanced Battery Technologies Research (9 papers) and Power System Reliability and Maintenance (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (178 citations), Statistics, Probability and Uncertainty (120 citations), Software (60 citations), Statistics and Probability (73 citations) and Management Science and Operations Research (95 citations). Akshay Kumar has collaborated with scholars based in India, Russia and Algeria. Frequent co-authors include Mangey Ram, S. B. Singh, Ashok Bhandari, Sangeeta Pant, Anuj Kumar, G. Pugazhenthi, Nupur Goyal, Hitesh Kumar Sharma, Yury Klochkov and Shshank Chaube. Their work appears in journals such as International Journal of Quality & Reliability Management, Quality and Reliability Engineering International, International Journal of Reliability Quality and Safety Engineering, Geotechnical and Geological Engineering and IEEE Transactions on Consumer Electronics.

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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