Paramate Horkaew

596 citations
50 papers · 376 · h-index 11

Impact in

Papers in

Paramate Horkaew

45 papers receiving 354 citations

Peers

Paramate Horkaew
Comparison fields: 5 of 89
  • Environmental Engineering 86
  • Global and Planetary Change 120
  • Computer Vision and Pattern Recognition 79
  • Water Science and Technology 47
  • Media Technology 21
Replace Nouar AlDahoul with:
Nouar AlDahoul Malaysia
Lachlan Tychsen-Smith Australia
Gui Cheng China
Mina Rezaei Germany
Nathaniel Joseph C. Libatique Philippines
Xiongwu Xiao China
Jiaming Liu China
Jian Kang China
Emmanuel de Bézenac France
Fei Tao China
Paramate Horkaew relative to Nouar AlDahoul Malaysia Nouar AlDahoul's profile →
Citations per field
00.5×2.6×
Nouar AlDahoul · 1×
Citations per year

Countries citing papers authored by Paramate Horkaew

Since Specialization
Citations

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

Fields of papers citing papers by Paramate Horkaew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Paramate Horkaew, 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 Paramate Horkaew Line = papers co-authored together Paramate Horkaew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 200322
3 202117
4 202015
5 201914
6 200512
7 202212
8 200412
9 201711
10 201711
11 200510
12 201810
13 20219
14 20239
15 20208
16 20158
17 20187
18 20217
19 20197
20 20217

About Paramate Horkaew

Paramate Horkaew is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Global and Planetary Change, Ecology and Ocean Engineering, having authored 50 papers that have together received 376 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (8 papers), Medical Image Segmentation Techniques (7 papers), Remote Sensing and LiDAR Applications (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Hydrological Forecasting Using AI (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Remote Sensing in Agriculture (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Environmental Engineering (86 citations), Global and Planetary Change (120 citations), Computer Vision and Pattern Recognition (79 citations), Water Science and Technology (47 citations) and Media Technology (21 citations). Paramate Horkaew has collaborated with scholars based in Thailand, United Kingdom and Nepal. Frequent co-authors include Supattra Puttinaovarat, Guang Yang, Chakchai So–In, Guang‐Zhong Yang, Tim Buchanan, Magdi H. Yacoub, Michael B. Rubens, Ara Darzi, Jennifer Keegan and Tri Gia Nguyen. Their work appears in journals such as IEEE Access, ISPRS International Journal of Geo-Information, Wireless Networks, Geomatics Natural Hazards and Risk and Journal of Magnetic Resonance Imaging.

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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