Paskorn Champrasert

62 total papers · 475 total citations
48 papers, 286 citations indexed

About

Paskorn Champrasert is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Water Science and Technology. According to data from OpenAlex, Paskorn Champrasert has authored 48 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 10 papers in Water Science and Technology. Recurrent topics in Paskorn Champrasert's work include Water Quality Monitoring Technologies (8 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Distributed systems and fault tolerance (7 papers). Paskorn Champrasert is often cited by papers focused on Water Quality Monitoring Technologies (8 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Distributed systems and fault tolerance (7 papers). Paskorn Champrasert collaborates with scholars based in Thailand, United States and Japan. Paskorn Champrasert's co-authors include Junichi Suzuki, Hiroshi Wada, Katsuya Oba, Kriengsak Panuwatwanich, Pruet Boonma, Mianxiong Dong, Kaoru Ota, Tetsuo Otani, Baiqian Shi and Chonho Lee and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Paskorn Champrasert

42 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paskorn Champrasert	108	62	59	54	45	48	286
Alfonso García-de-Prado	170 1.6×	56 0.9×	99 1.7×	35 0.6×	12 0.3×	21	289
Thanh-Tung Nguyen	110 1.0×	57 0.9×	81 1.4×	59 1.1×	27 0.6×	19	314
Ibrahim Aliyu	82 0.8×	62 1.0×	31 0.5×	52 1.0×	51 1.1×	36	303
Bin Ye	59 0.5×	29 0.5×	31 0.5×	51 0.9×	9 0.2×	46	295
Enrique de la Hoz	164 1.5×	93 1.5×	59 1.0×	70 1.3×	14 0.3×	32	332
Nédra Mellouli	29 0.3×	61 1.0×	31 0.5×	27 0.5×	20 0.4×	27	322
T. Amudha	32 0.3×	73 1.2×	35 0.6×	23 0.4×	30 0.7×	35	251
Mashael M. Asiri	71 0.7×	84 1.4×	32 0.5×	47 0.9×	12 0.3×	37	260
Hoe-Kyung Jung	29 0.3×	63 1.0×	33 0.6×	46 0.9×	29 0.6×	79	317
Chantana Chantrapornchai	85 0.8×	78 1.3×	43 0.7×	60 1.1×	20 0.4×	76	318

Countries citing papers authored by Paskorn Champrasert

Since Specialization

Citations

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

Fields of papers citing papers by Paskorn Champrasert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paskorn Champrasert

This figure shows the co-authorship network connecting the top 25 collaborators of Paskorn Champrasert. A scholar is included among the top collaborators of Paskorn Champrasert 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 Paskorn Champrasert. Paskorn Champrasert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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