Rawat Jaisutti

36 total papers · 760 total citations
28 papers, 641 citations indexed

About

Rawat Jaisutti is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Rawat Jaisutti has authored 28 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 15 papers in Electrical and Electronic Engineering and 12 papers in Polymers and Plastics. Recurrent topics in Rawat Jaisutti's work include Gas Sensing Nanomaterials and Sensors (11 papers), Conducting polymers and applications (11 papers) and Analytical Chemistry and Sensors (9 papers). Rawat Jaisutti is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (11 papers), Conducting polymers and applications (11 papers) and Analytical Chemistry and Sensors (9 papers). Rawat Jaisutti collaborates with scholars based in Thailand, South Korea and China. Rawat Jaisutti's co-authors include Yong‐Hoon Kim, Sung Kyu Park, Nattasamon Petchsang, Tanakorn Osotchan, Woobin Lee, Juneyoung Lee, Jimi Eom, Hyungseok Lee, Jae Sang Heo and Jae-Young Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Applied Surface Science.

In The Last Decade

Rawat Jaisutti

26 papers receiving 629 citations

Author Peers

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

Author						Papers	Cites
Rawat Jaisutti	442	359	241	156	150	28	641
Adeela Hanif	530 1.2×	342 1.0×	259 1.1×	110 0.7×	113 0.8×	17	712
Jie Ru	494 1.1×	235 0.7×	192 0.8×	178 1.1×	55 0.4×	36	760
Yuning Liang	360 0.8×	288 0.8×	140 0.6×	211 1.4×	99 0.7×	33	696
Zihu Wang	526 1.2×	219 0.6×	267 1.1×	120 0.8×	54 0.4×	13	651
Mengzhu Cao	534 1.2×	257 0.7×	197 0.8×	119 0.8×	70 0.5×	18	743
Soyoun Jung	295 0.7×	317 0.9×	201 0.8×	163 1.0×	92 0.6×	27	667
Yu Zhao	609 1.4×	240 0.7×	254 1.1×	154 1.0×	52 0.3×	19	784
Xiaoshuang Song	609 1.4×	600 1.7×	163 0.7×	131 0.8×	260 1.7×	12	792
Anurak Sawatdee	349 0.8×	302 0.8×	286 1.2×	77 0.5×	68 0.5×	22	599
Jianyou Feng	390 0.9×	298 0.8×	260 1.1×	109 0.7×	68 0.5×	17	657

Countries citing papers authored by Rawat Jaisutti

Since Specialization

Citations

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

Fields of papers citing papers by Rawat Jaisutti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rawat Jaisutti

This figure shows the co-authorship network connecting the top 25 collaborators of Rawat Jaisutti. A scholar is included among the top collaborators of Rawat Jaisutti 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 Rawat Jaisutti. Rawat Jaisutti 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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