Uma Seeboonruang

53 total papers · 674 total citations
34 papers, 520 citations indexed

About

Uma Seeboonruang is a scholar working on Environmental Engineering, Water Science and Technology and Soil Science. According to data from OpenAlex, Uma Seeboonruang has authored 34 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 16 papers in Water Science and Technology and 9 papers in Soil Science. Recurrent topics in Uma Seeboonruang's work include Hydrology and Watershed Management Studies (13 papers), Groundwater flow and contamination studies (9 papers) and Soil erosion and sediment transport (9 papers). Uma Seeboonruang is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Groundwater flow and contamination studies (9 papers) and Soil erosion and sediment transport (9 papers). Uma Seeboonruang collaborates with scholars based in Thailand, Taiwan and United States. Uma Seeboonruang's co-authors include Walter Chen, Timothy R. Ginn, Kei Yoshimura, Zhongwang Wei, Zhongfang Liu, Xuhui Lee, Fuan Tsai, Ellyn M. Murphy, Tsutomu Ichikawa and Graham E. Fogg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Journal of Environmental Management.

In The Last Decade

Uma Seeboonruang

33 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Uma Seeboonruang	230	197	141	113	107	34	520
Mazda Kompanizare	211 0.9×	150 0.8×	76 0.5×	98 0.9×	93 0.9×	29	464
C. Leibundgut	231 1.0×	281 1.4×	146 1.0×	77 0.7×	133 1.2×	23	542
Sylvain Weill	283 1.2×	308 1.6×	128 0.9×	106 0.9×	60 0.6×	26	566
Carlos Bautista-Capetillo	144 0.6×	112 0.6×	161 1.1×	171 1.5×	68 0.6×	52	514
K. S. Perkins	278 1.2×	171 0.9×	145 1.0×	82 0.7×	104 1.0×	29	533
Mary C. Hill	243 1.1×	273 1.4×	124 0.9×	62 0.5×	69 0.6×	22	548
H. Bendjoudi	170 0.7×	204 1.0×	219 1.6×	67 0.6×	53 0.5×	30	539
Qinbo Cheng	192 0.8×	284 1.4×	150 1.1×	51 0.5×	124 1.2×	29	588
Mohammed Al‐Qinna	188 0.8×	115 0.6×	147 1.0×	112 1.0×	63 0.6×	32	501
Oliver S. Schilling	314 1.4×	332 1.7×	105 0.7×	40 0.4×	148 1.4×	28	578

Countries citing papers authored by Uma Seeboonruang

Since Specialization

Citations

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

Fields of papers citing papers by Uma Seeboonruang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Seeboonruang

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