Veera Boonjing

78 total papers · 840 total citations
57 papers, 549 citations indexed

About

Veera Boonjing is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Veera Boonjing has authored 57 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 28 papers in Information Systems and 18 papers in Computational Theory and Mathematics. Recurrent topics in Veera Boonjing's work include Rough Sets and Fuzzy Logic (17 papers), Data Mining Algorithms and Applications (15 papers) and Advanced Database Systems and Queries (9 papers). Veera Boonjing is often cited by papers focused on Rough Sets and Fuzzy Logic (17 papers), Data Mining Algorithms and Applications (15 papers) and Advanced Database Systems and Queries (9 papers). Veera Boonjing collaborates with scholars based in Thailand, Canada and United States. Veera Boonjing's co-authors include Jirapond Muangprathub, Kosin Chamnongthai, Cheng Hsu, Yoichi Sato, Thanapong Chaichana, Siriwan Kajornkasirat, Nathaphon Boonnam, Supattra Puttinaovarat, Apirat Wanichsombat and Janusz Sobecki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

In The Last Decade

Veera Boonjing

53 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Veera Boonjing	247	135	94	90	65	57	549
Ibrahim M. El‐Hasnony	260 1.1×	78 0.6×	74 0.8×	27 0.3×	25 0.4×	30	532
Sukumar Letchmunan	246 1.0×	85 0.6×	87 0.9×	28 0.3×	92 1.4×	43	557
Abeer ElKorany	332 1.3×	101 0.7×	61 0.6×	24 0.3×	26 0.4×	49	609
Diwakar Tripathi	372 1.5×	52 0.4×	58 0.6×	34 0.4×	19 0.3×	31	572
Yenny Villuendas-Rey	279 1.1×	108 0.8×	31 0.3×	48 0.5×	29 0.4×	76	530
Ameen Banjar	186 0.8×	60 0.4×	52 0.6×	36 0.4×	13 0.2×	45	551
Elpida Keravnou	383 1.6×	116 0.9×	80 0.9×	57 0.6×	28 0.4×	42	574
Sona Taheri	235 1.0×	75 0.6×	30 0.3×	92 1.0×	19 0.3×	47	557
Wael Hadi	336 1.4×	291 2.2×	19 0.2×	69 0.8×	20 0.3×	59	588
Salabat Khan	264 1.1×	73 0.5×	50 0.5×	25 0.3×	31 0.5×	33	591

Countries citing papers authored by Veera Boonjing

Since Specialization

Citations

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

Fields of papers citing papers by Veera Boonjing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veera Boonjing

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