K. Jayakumar

1.5k citations
83 papers · 1.1k · h-index 20

Impact in

Papers in

K. Jayakumar

76 papers receiving 1.0k citations

Peers

K. Jayakumar
Comparison fields: 5 of 95
  • Statistics and Probability 335
  • Statistics, Probability and Uncertainty 154
  • Water Science and Technology 265
  • Global and Planetary Change 334
  • Finance 143
Replace Mhamed Mesfioui with:
Mhamed Mesfioui Canada
Nicholas C. Matalas United States
Vijay P. Singh United States
Álvaro Veiga Brazil
Jean‐François Quessy Canada
Xiaoping Shi China
Ibrahim Mohamed Malaysia
Ingrid Hobæk Haff Norway
Janet E. Heffernan United Kingdom
Christopher S. Jones United States
K. Jayakumar relative to Mhamed Mesfioui Canada Mhamed Mesfioui's profile →
Citations per field
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Mhamed Mesfioui · 1×
Citations per year

Countries citing papers authored by K. Jayakumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Jayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021110
2 201979
3 200654
4 201143
5 202342
6 201940
7 201437
8 201932
9 201728
10 199326
11 199326
12 200724
13 201924
14 202022
15 201322
16 201222
17 201521
18 201421
19 200521
20 201920

About K. Jayakumar

K. Jayakumar is a scholar working on Statistics and Probability, Global and Planetary Change, Statistics, Probability and Uncertainty, Finance and Water Science and Technology, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (30 papers), Financial Risk and Volatility Modeling (15 papers), Probabilistic and Robust Engineering Design (14 papers), Hydrology and Watershed Management Studies (14 papers), Hydrology and Drought Analysis (12 papers), Flood Risk Assessment and Management (8 papers), Water resources management and optimization (7 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Statistics and Probability (335 citations), Statistics, Probability and Uncertainty (154 citations), Water Science and Technology (265 citations), Global and Planetary Change (334 citations) and Finance (143 citations). K. Jayakumar has collaborated with scholars based in India, United States and Sri Lanka. Frequent co-authors include H. P. Rani, R. N. Pillai, Thomas Mathew, M.R. Prathapachandra Kurup, Shirish H. Sonawane, Bhaskar Bethi, Miroslav M. Ristić, M. Sithambaresan, P. G. Sankaran and Aleksandar S. Nastić. Their work appears in journals such as Statistical Papers, Mathematical and Computer Modelling, Ecological Indicators, Journal of Hydrologic Engineering and Applied Mathematics Letters.

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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