Arunee Promsri

40 total papers · 583 total citations
29 papers, 400 citations indexed

About

Arunee Promsri is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Arunee Promsri has authored 29 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physical Therapy, Sports Therapy and Rehabilitation, 16 papers in Biomedical Engineering and 12 papers in Cognitive Neuroscience. Recurrent topics in Arunee Promsri's work include Balance, Gait, and Falls Prevention (22 papers), Muscle activation and electromyography studies (12 papers) and Motor Control and Adaptation (12 papers). Arunee Promsri is often cited by papers focused on Balance, Gait, and Falls Prevention (22 papers), Muscle activation and electromyography studies (12 papers) and Motor Control and Adaptation (12 papers). Arunee Promsri collaborates with scholars based in Thailand, Austria and Italy. Arunee Promsri's co-authors include Peter Federolf, Thomas Haid, Inge Werner, Matteo Zago, M. Mohr, Prasit Cholamjiak, Vit Kotheeranurak, Watcharaporn Cholamjiak and Wongthawat Liawrungrueang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and Journal of Biomechanics.

In The Last Decade

Arunee Promsri

24 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Arunee Promsri	260	188	161	93	65	29	400
Thomas Haid	260 1.0×	169 0.9×	135 0.8×	123 1.3×	78 1.2×	13	390
Joong Hyun Ryu	126 0.5×	204 1.1×	143 0.9×	94 1.0×	28 0.4×	36	434
Adriana M. Degani	216 0.8×	78 0.4×	146 0.9×	148 1.6×	63 1.0×	26	434
Stefania Sozzi	270 1.0×	109 0.6×	94 0.6×	169 1.8×	40 0.6×	28	395
Pascale Chavet	90 0.3×	199 1.1×	149 0.9×	51 0.5×	41 0.6×	41	427
Anna Hafström	200 0.8×	113 0.6×	40 0.2×	87 0.9×	45 0.7×	29	438
Matheus Machado Gomes	154 0.6×	99 0.5×	97 0.6×	62 0.7×	40 0.6×	38	398
Anthony Remaud	143 0.6×	185 1.0×	149 0.9×	81 0.9×	53 0.8×	18	380
Janina Manzieri Prado‐Rico	246 0.9×	133 0.7×	47 0.3×	85 0.9×	142 2.2×	21	395
Arnold Huurnink	147 0.6×	270 1.4×	176 1.1×	30 0.3×	28 0.4×	13	429

Countries citing papers authored by Arunee Promsri

Since Specialization

Citations

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

Fields of papers citing papers by Arunee Promsri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunee Promsri

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