Seree Supharatid

507 citations
23 papers · 363 indexed · h-index 11
Topics
Hydrological Forecasting Using AI (8 papers)Climate variability and models (8 papers)Flood Risk Assessment and Management (6 papers)
Partner nations
ThailandJapanSouth Korea

In The Last Decade

Seree Supharatid

23 papers receiving 355 citations

Peers

Seree Supharatid
Comparison fields: 5 of 56
  • Global and Planetary Change 229
  • Environmental Engineering 130
  • Water Science and Technology 123
  • Atmospheric Science 107
  • Oceanography 44
Replace Rulin Ouyang with:
Rulin Ouyang China
Amanda Markert United States
Fabio Cian United States
G. Srinivasa Rao India
Eyüp Şişman Türkiye
Youngjoo Kwak Japan
Sun‐Kwon Yoon South Korea
Nadia A. Aziz Iraq
Ardalan Izadi Iran
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Seree Supharatid relative to Rulin Ouyang China Rulin Ouyang's profile →
Citations per field
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Rulin Ouyang · 1×
Citations per year

Countries citing papers authored by Seree Supharatid

Since Specialization
Citations

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

Fields of papers citing papers by Seree Supharatid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seree Supharatid

This figure shows the co-authorship network connecting the top 25 collaborators of Seree Supharatid. A scholar is included among the top collaborators of Seree Supharatid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seree Supharatid. Seree Supharatid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 31
3 22
4 25
5 21
6 19
7 13
8 40
9 4
10 7
11 7
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19
13 7
14 4
15
Application of Artificial Neural Networks for River Stage Forecasting in Hatyai
1
16 18
17 47
18 2
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20 3

About Seree Supharatid

Seree Supharatid is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology, having authored 23 papers that have together received 363 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (8 papers), Climate variability and models (8 papers) and Flood Risk Assessment and Management (6 papers). The work is most often cited by research in Global and Planetary Change (229 citations), Environmental Engineering (130 citations) and Water Science and Technology (123 citations). Seree Supharatid has collaborated with scholars based in Thailand, Japan and South Korea. Frequent co-authors include Hitoshi Tanaka, I‐Ming Tang, Tawatchai Tingsanchali, Fumihiko Imamura, Nobuo Shuto and Chaiyuth Chinnarasri. Their work appears in journals such as Hydrological Processes, Water Resources Management and Theoretical and Applied Climatology.

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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