Hare Krishna

1.1k citations
37 papers · 900 · h-index 16

Impact in

Papers in

Hare Krishna

37 papers receiving 843 citations

Peers

Hare Krishna
Comparison fields: 5 of 72
  • Statistics and Probability 808
  • Statistics, Probability and Uncertainty 525
  • Safety, Risk, Reliability and Quality 177
  • Management Science and Operations Research 95
  • Global and Planetary Change 144
Replace Sanku Dey with:
Sanku Dey India
D. K. Al-Mutairi Kuwait
Çoşkun Kuş Türkiye
Zeinhum F. Jaheen Egypt
Magne V. Aarset Norway
Ahmed A. Soliman Egypt
Gokarna Aryal United States
A. M. Abouammoh Saudi Arabia
Biswabrata Pradhan India
Mahdi Doostparast Iran
Hare Krishna relative to Sanku Dey India Sanku Dey's profile →
Citations per field
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Sanku Dey · 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 2008178
2 2012106
3 201187
4 201556
5 199446
6 201141
7 201539
8 201033
9 200931
10 201730
11 201429
12 201426
13 200920
14 201620
15 201718
16 201617
17 201714
18 202013
19 202012
20 201812

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 900 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), Hydrology and Drought Analysis (3 papers), Risk and Safety Analysis (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (808 citations), Statistics, Probability and Uncertainty (525 citations), Safety, Risk, Reliability and Quality (177 citations), Management Science and Operations Research (95 citations) and Global and Planetary Change (144 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, International Journal of Quality & Reliability Management, Reliability Engineering & System Safety and Computational Statistics & Data Analysis.

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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