Hare Krishna

1.2k citations
37 papers · 939 · h-index 17

Impact in

Papers in

Hare Krishna

37 papers receiving 883 citations

Peers

Hare Krishna
Comparison fields: 5 of 67
  • Statistics and Probability 841
  • Statistics, Probability and Uncertainty 541
  • Safety, Risk, Reliability and Quality 184
  • Management Science and Operations Research 100
  • Global and Planetary Change 151
Replace D. K. Al-Mutairi with:
D. K. Al-Mutairi Kuwait
Sanku Dey India
Khalaf S. Sultan Saudi Arabia
Zeinhum F. Jaheen Egypt
Çoşkun Kuş Türkiye
Magne V. Aarset Norway
Ahmed A. Soliman Egypt
Biswabrata Pradhan India
Gokarna Aryal United States
Mahdi Doostparast Iran
Hare Krishna relative to D. K. Al-Mutairi Kuwait D. K. Al-Mutairi's profile →
Citations per field
00.5×1.5×
D. K. Al-Mutairi · 1×
Citations per year

Countries citing papers authored by Hare Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Hare Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Hare Krishna, 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 Hare Krishna Line = papers co-authored together Hare Krishna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008189
2 2012108
3 201191
4 201557
5 199450
6 201142
7 201539
8 201034
9 200931
10 201731
11 201429
12 201427
13 201620
14 200920
15 201619
16 201718
17 201716
18 202014
19 201813
20 202013

About Hare Krishna

Hare Krishna is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Artificial Intelligence, having authored 37 papers that have together received 939 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (36 papers), Probabilistic and Robust Engineering Design (24 papers), Reliability and Maintenance Optimization (16 papers), Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (5 papers), Risk and Safety Analysis (3 papers), Hydrology and Drought Analysis (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (841 citations), Statistics, Probability and Uncertainty (541 citations), Safety, Risk, Reliability and Quality (184 citations), Management Science and Operations Research (100 citations) and Global and Planetary Change (151 citations). Hare Krishna has collaborated with scholars based in India. Frequent co-authors include Kapil Kumar, Renu Garg, Debasis Kundu, Vivekanand Vivekanand, Bhupendra Singh and Kashish Sharma. Their work appears in journals such as Journal of Statistical Computation and Simulation, Microelectronics Reliability, Reliability Engineering & System Safety, International Journal of Quality & Reliability Management and IEEE Transactions on Reliability.

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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