K. Jayakumar

1.6k citations
83 papers · 1.1k · h-index 20

Impact in

Papers in

K. Jayakumar

76 papers receiving 1.1k citations

Peers

K. Jayakumar
Comparison fields: 5 of 96
  • Statistics and Probability 340
  • Statistics, Probability and Uncertainty 158
  • Water Science and Technology 266
  • Global and Planetary Change 340
  • Finance 142
Replace Vijay P. Singh with:
Vijay P. Singh United States
Mauro Bernardi Italy
Andrea Jonathan Pagano Italy
D. R. C. Grey United Kingdom
Christina W.-S. Tsai United States
Minh Ha‐Duong France
Wenting Chen China
Songlin Zhang China
Debra S. Knopman United States
K. Jayakumar relative to Vijay P. Singh United States Vijay P. Singh's profile →
Citations per field
00.5×2×4×6×8.1×
Vijay P. Singh · 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 2021115
2 201982
3 200655
4 202348
5 201145
6 201940
7 201437
8 201932
9 201728
10 199327
11 200726
12 199326
13 201925
14 202023
15 201222
16 201322
17 200521
18 201421
19 201521
20 201920

About K. Jayakumar

K. Jayakumar is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Finance, Global and Planetary Change 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), Hydrology and Watershed Management Studies (14 papers), Probabilistic and Robust Engineering Design (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 (340 citations), Statistics, Probability and Uncertainty (158 citations), Water Science and Technology (266 citations), Global and Planetary Change (340 citations) and Finance (142 citations). K. Jayakumar has collaborated with scholars based in India, United States and Serbia. Frequent co-authors include Hari Ponnamma Rani, R. N. Pillai, Thomas Thazumpal Mathew, M.R. Prathapachandra Kurup, Shirish Hari Sonawane, Bhaskar Bethi, Miroslav M. Ristić, maheswaran Sithambaresan, P. G. Sankaran and Hassan S. Bakouch. Their work appears in journals such as Statistical Papers, Mathematical and Computer Modelling, Journal of Earth System Science, Ecological Indicators 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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