KK

1.4k citations
18 papers · 933 · h-index 12

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

KK

18 papers receiving 867 citations

Peers

KK
Comparison fields: 5 of 175
  • Statistics and Probability 248
  • Finance 225
  • Statistics, Probability and Uncertainty 83
  • General Economics, Econometrics and Finance 84
  • Management Science and Operations Research 108
Replace Calyampudi Radhakrishna Rao with:
Calyampudi Radhakrishna Rao United States
Somdeb Lahiri India
Neville Davies United Kingdom
Raoul LePage United States
Marlene Müller Germany
Hisashi Tanizaki Japan
D. A. Hsu United States
Hélio S. Migon Brazil
R B Davies New Zealand
William P. McCormick United States
KK relative to Calyampudi Radhakrishna Rao United States Calyampudi Radhakrishna Rao's profile →
Citations per field
00.5×1.5×1.9×
Calyampudi Radhakrishna Rao · 1×
Citations per year

Countries citing papers authored by KK

Since Specialization
Citations

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

Fields of papers citing papers by KK

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1998363
2 1997213
3 199558
4 199450
5 199448
6 199848
7 199634
8 199826
9 199722
10 199716
11 199615
12 199713
13 19988
14 19967
15 19956
16 19954
17 19981
18 19981

About KK

KK is a scholar working on Artificial Intelligence, Economics and Econometrics, Molecular Biology, Numerical Analysis and Mechanics of Materials, having authored 18 papers that have together received 933 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (2 papers), Engineering Technology and Methodologies (1 paper), Engineering Diagnostics and Reliability (1 paper), Biomedical Text Mining and Ontologies (1 paper), Advanced Optimization Algorithms Research (1 paper), Forecasting Techniques and Applications (1 paper), Matrix Theory and Algorithms (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Statistics and Probability (248 citations), Finance (225 citations), Statistics, Probability and Uncertainty (83 citations), General Economics, Econometrics and Finance (84 citations) and Management Science and Operations Research (108 citations). Frequent co-authors include Campbell B. Read, David Banks, Samuel Kotz, D. V. Hinkley, D. R. Cox, Ole E. Barndorff–Nielsen, P. Freedman, Henry Braun, John W. Tukey and Curtis L. Meinert. Their work appears in journals such as Journal of the American Statistical Association.

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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