G. K. Shukla

1.6k citations
21 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Advanced Statistical Methods and Models (4 papers)Statistical Methods and Inference (4 papers)Information and Cyber Security (3 papers)

In The Last Decade

G. K. Shukla

21 papers receiving 1.0k citations

Hit Papers

Some statistical aspects of partitioning genotype-environ...19722026199020081972250500750

Peers

G. K. Shukla
Comparison fields: 5 of 102
  • Plant Science 807
  • Genetics 267
  • Agronomy and Crop Science 224
  • Statistics and Probability 122
  • Management Science and Operations Research 118
Replace Rajender Parsad with:
Rajender Parsad India
Mark R. Wade New Zealand
Xuewen Lu Canada
G. V. Dyke United States
Mike Talbot United Kingdom
Joachim Spilke Germany
K. L. Mehra Canada
C. R. Rao China
B. N. Chakraborty India
Seema Jaggi India
G. K. Shukla relative to Rajender Parsad India Rajender Parsad's profile →
Citations per field
00.5×2.8×
Rajender Parsad · 1×
Citations per year

Countries citing papers authored by G. K. Shukla

Since Specialization
Citations

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

Fields of papers citing papers by G. K. Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. K. Shukla. 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 G. K. Shukla. The network helps show where G. K. Shukla may publish in the future.

Co-authorship network of co-authors of G. K. Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of G. K. Shukla. A scholar is included among the top collaborators of G. K. Shukla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. K. Shukla. G. K. Shukla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 47
2 5
3 27
4 4
5
Mitigating security breaches through insurance: Logit and Probit models for quantifying e-risk
2
6
Spatio-Temporal Models in Small Area Estimation
59
7 8
8 1
9 9
10 2
11 32
12 7
13 10
14 17
15 14
16 73
17
Some statistical aspects of partitioning genotype-environmental components of variabilitybreakdown →
824
18 35
19
Studies on Heritability, Correlation and Discriminant Function Selection in Jute
1
20 19

About G. K. Shukla

G. K. Shukla is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (4 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Agronomy and Crop Science (224 citations), Plant Science (807 citations) and Statistics and Probability (122 citations). G. K. Shukla has collaborated with scholars based in India, United Kingdom and Canada. Frequent co-authors include Paramjit Gill, Bharat Bhushan Singh, Debasis Kundu, Madhusudan Karmakar, Arunabha Mukhopadhyay, Kallol Bagchi, Samir Chatterjee, P. S. Datta, A.K. Mallik and Saini Das. Their work appears in journals such as Technometrics, Biometrics and Biometrika.

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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