Nattha Jindapetch

852 citations
68 papers · 594 · h-index 12

Impact in

Papers in

Nattha Jindapetch

59 papers receiving 569 citations

Peers

Nattha Jindapetch
Comparison fields: 5 of 81
  • Bioengineering 55
  • Ocean Engineering 125
  • Computer Networks and Communications 144
  • Electrical and Electronic Engineering 357
  • Signal Processing 51
Replace Narito Kurata with:
Narito Kurata Japan
Manuel E. Ruiz-Sandoval Mexico
Zainul Charbiwala United States
Ernesto Sifuentes Mexico
Gianfranco Miele Italy
Mutiu Adesina Adegboye Nigeria
Ali Imam Sunny United Kingdom
Tommaso Polonelli Switzerland
Taikyeong Jeong South Korea
Vana Jeličić Croatia
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Citations per field
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Narito Kurata · 1×
Citations per year

Countries citing papers authored by Nattha Jindapetch

Since Specialization
Citations

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

Fields of papers citing papers by Nattha Jindapetch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nattha Jindapetch, 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 Nattha Jindapetch Line = papers co-authored together Nattha Jindapetch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014148
2 201850
3 202133
4 201932
5 201830
6 201123
7 202418
8 201116
9 201515
10 202214
11 202014
12 201911
13 201211
14 201811
15 202010
16 200710
17
A neural network based optimization for wireless sensor node position estimation in industrial environments
201010
18 201710
19 20198
20 20208

About Nattha Jindapetch

Nattha Jindapetch is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biomedical Engineering and Ocean Engineering, having authored 68 papers that have together received 594 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (17 papers), Energy Efficient Wireless Sensor Networks (11 papers), Underwater Vehicles and Communication Systems (9 papers), Context-Aware Activity Recognition Systems (6 papers), Advanced Memory and Neural Computing (5 papers), Analytical Chemistry and Sensors (5 papers), Electrostatic Discharge in Electronics (5 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Bioengineering (55 citations), Ocean Engineering (125 citations), Computer Networks and Communications (144 citations), Electrical and Electronic Engineering (357 citations) and Signal Processing (51 citations). Nattha Jindapetch has collaborated with scholars based in Thailand, Japan and China. Frequent co-authors include Apidet Booranawong, Pornchai Phukpattaranont, Hiroshi Saitō, Hiroshi Saito, Zhiwei Zhao, Qianyu Zhang, Mohd Nazim Mohtar, Wei Lei, Min Liu and Suhaidi Shafie. Their work appears in journals such as IEEE Access, Measurement, Journal of Electrostatics, IEEE Sensors Journal and Nano Research.

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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