Parin Chaipunya

87 total papers · 501 total citations
52 papers, 332 citations indexed

About

Parin Chaipunya is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Numerical Analysis. According to data from OpenAlex, Parin Chaipunya has authored 52 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 27 papers in Geometry and Topology and 18 papers in Numerical Analysis. Recurrent topics in Parin Chaipunya's work include Optimization and Variational Analysis (28 papers), Fixed Point Theorems Analysis (27 papers) and Advanced Optimization Algorithms Research (18 papers). Parin Chaipunya is often cited by papers focused on Optimization and Variational Analysis (28 papers), Fixed Point Theorems Analysis (27 papers) and Advanced Optimization Algorithms Research (18 papers). Parin Chaipunya collaborates with scholars based in Thailand, Taiwan and Nigeria. Parin Chaipunya's co-authors include Poom Kumam, Auwal Bala Abubakar, Abdulkarim Hassan Ibrahim, Wutiphol Sintunavarat, Anantachai Padcharoen, Yeol Je Cho, Maulana Malik, Dhananjay Gopal, Min Sun and Aliyu Muhammed Awwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Computational and Applied Mathematics.

In The Last Decade

Parin Chaipunya

44 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Parin Chaipunya	162	138	136	69	49	52	332
Dmitriy Drusvyatskiy	67 0.4×	163 1.2×	202 1.5×	110 1.6×	39 0.8×	37	316
A. Melman	52 0.3×	146 1.1×	218 1.6×	59 0.9×	39 0.8×	52	343
Zhongyun Liu	39 0.2×	119 0.9×	210 1.5×	26 0.4×	83 1.7×	47	333
Hung M. Phan	61 0.4×	222 1.6×	265 1.9×	117 1.7×	35 0.7×	22	322
Nuttapol Pakkaranang	96 0.6×	170 1.2×	162 1.2×	66 1.0×	25 0.5×	59	270
H. P. Dikshit	43 0.3×	83 0.6×	65 0.5×	78 1.1×	102 2.1×	50	350
Elza Farkhi	56 0.3×	105 0.8×	200 1.5×	44 0.6×	124 2.5×	28	326
Patrick Mehlitz	29 0.2×	128 0.9×	179 1.3×	38 0.6×	29 0.6×	38	230
Hong Liu	94 0.6×	51 0.4×	138 1.0×	12 0.2×	56 1.1×	58	328
Junaid Ahmad	170 1.0×	116 0.8×	164 1.2×	7 0.1×	48 1.0×	72	281

Countries citing papers authored by Parin Chaipunya

Since Specialization

Citations

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

Fields of papers citing papers by Parin Chaipunya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parin Chaipunya

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