V. Agilan

662 citations
22 papers · 508 · h-index 12

Impact in

Papers in

    • Climate variability and models 15
    • Hydrology and Drought Analysis 11
    • Flood Risk Assessment and Management 5
    • Meteorological Phenomena and Simulations 6
    • Precipitation Measurement and Analysis 5

V. Agilan

18 papers receiving 497 citations

Peers

V. Agilan
Comparison fields: 5 of 41
  • Global and Planetary Change 452
  • Water Science and Technology 199
  • Atmospheric Science 201
  • Environmental Engineering 82
  • Ocean Engineering 23
Replace Maria Antonia Sunyer Pinya with:
Maria Antonia Sunyer Pinya Denmark
Thomas Lafon United Kingdom
Ciarán Broderick Ireland
Yoichi Iwami Japan
Cameron Bracken United States
Andrea Thorstensen United States
J. S. Nanditha India
Gökmen Çeribaşı Türkiye
Leizhi Wang China
Duncan Faulkner United Kingdom
V. Agilan relative to Maria Antonia Sunyer Pinya Denmark Maria Antonia Sunyer Pinya's profile →
Citations per field
00.5×3.3×
Maria Antonia Sunyer Pinya · 1×
Citations per year

Countries citing papers authored by V. Agilan

Since Specialization
Citations

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

Fields of papers citing papers by V. Agilan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside V. Agilan, 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 V. Agilan Line = papers co-authored together V. Agilan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016128
2 201656
3 201649
4 201546
5 202042
6 201734
7 201528
8 201724
9 201723
10 201919
11 201815
12 201713
13 202410
14 20228
15 20195
16 20234
17 20203
18 20171
19 20240
20 20240

About V. Agilan

V. Agilan is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Water Science and Technology and Ocean Engineering, having authored 22 papers that have together received 508 indexed citations. Recurring topics across this work include Climate variability and models (15 papers), Hydrology and Drought Analysis (11 papers), Meteorological Phenomena and Simulations (6 papers), Hydrology and Watershed Management Studies (5 papers), Precipitation Measurement and Analysis (5 papers), Flood Risk Assessment and Management (5 papers), Hydrological Forecasting Using AI (3 papers) and Water resources management and optimization (3 papers). The work is most often cited by research in Global and Planetary Change (452 citations), Water Science and Technology (199 citations), Atmospheric Science (201 citations), Environmental Engineering (82 citations) and Ocean Engineering (23 citations). V. Agilan has collaborated with scholars based in India, Vietnam and United States. Frequent co-authors include N. V. Umamahesh, P. P. Mujumdar, K. Jayakumar, Venkata Reddy Keesara and K. Saikrishnan. Their work appears in journals such as Journal of Hydrology, Water Resources Management, Journal of Hydrologic Engineering, International Journal of Climatology and Advances in Water Resources.

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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