K. Jayakumar

1.5k citations
76 papers · 1.0k · h-index 20

Impact in

Papers in

K. Jayakumar

71 papers receiving 982 citations

Peers

K. Jayakumar
Comparison fields: 5 of 95
  • Statistics and Probability 329
  • Statistics, Probability and Uncertainty 154
  • Water Science and Technology 236
  • Global and Planetary Change 315
  • Finance 141
Replace Mhamed Mesfioui with:
Mhamed Mesfioui Canada
Nicholas C. Matalas United States
Jean‐François Quessy Canada
Álvaro Veiga Brazil
Xiaoping Shi China
Vijay P. Singh United States
Ingrid Hobæk Haff Norway
Ibrahim Mohamed Malaysia
Janet E. Heffernan United Kingdom
Alec Stephenson Australia
K. Jayakumar relative to Mhamed Mesfioui Canada Mhamed Mesfioui's profile →
Citations per field
00.5×4.2×
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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021105
2 201969
3 200654
4 201142
5 202341
6 201437
7 201935
8 201931
9 201728
10 199325
11 199324
12 200723
13 201923
14 202022
15 201222
16 201421
17 201520
18 201320
19 200520
20 199719

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 76 papers that have together received 1.0k 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 Drought Analysis (12 papers), Hydrology and Watershed Management Studies (12 papers), Advanced Statistical Methods and Models (7 papers), Flood Risk Assessment and Management (7 papers) and Fish Ecology and Management Studies (6 papers). The work is most often cited by research in Statistics and Probability (329 citations), Statistics, Probability and Uncertainty (154 citations), Water Science and Technology (236 citations), Global and Planetary Change (315 citations) and Finance (141 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, Miroslav M. Ristić, Shirish H. Sonawane, Bhaskar Bethi, M. Sithambaresan, P. G. Sankaran and V. Agilan. Their work appears in journals such as Statistical Papers, Journal of Applied Probability, Ecological Indicators, Journal of Earth System Science 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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