Manida Swangnetr

40 total papers · 634 total citations
17 papers, 459 citations indexed

About

Manida Swangnetr is a scholar working on Pharmacology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Manida Swangnetr has authored 17 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Social Psychology and 5 papers in Cognitive Neuroscience. Recurrent topics in Manida Swangnetr's work include Musculoskeletal pain and rehabilitation (8 papers), Emotion and Mood Recognition (4 papers) and Occupational Health and Performance (3 papers). Manida Swangnetr is often cited by papers focused on Musculoskeletal pain and rehabilitation (8 papers), Emotion and Mood Recognition (4 papers) and Occupational Health and Performance (3 papers). Manida Swangnetr collaborates with scholars based in Thailand, United States and Australia. Manida Swangnetr's co-authors include David Kaber, Maryam Zahabi, Rungthip Puntumetakul, Tao Zhang, Rose Boucaut, Prithima Mosaly, Junichiro Yamauchi, Wongsa Laohasiriwong, Michael T. Gross and Uraiwon Chatchawan and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Ergonomics and Applied Ergonomics.

In The Last Decade

Manida Swangnetr

16 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Manida Swangnetr	144	111	80	70	61	17	459
Kerry McGuire	94 0.7×	84 0.8×	38 0.5×	12 0.2×	20 0.3×	25	539
Azadeh Bashiri	22 0.2×	45 0.4×	31 0.4×	74 1.1×	57 0.9×	38	501
Björn Badura	302 2.1×	13 0.1×	27 0.3×	58 0.8×	37 0.6×	4	539
Yngve Dahl	41 0.3×	55 0.5×	18 0.2×	30 0.4×	12 0.2×	40	473
Ken Gilhooly	78 0.5×	23 0.2×	7 0.1×	152 2.2×	27 0.4×	21	517
Christian Mauro	46 0.3×	63 0.6×	8 0.1×	96 1.4×	23 0.4×	35	488
Aideen J. Stronge	36 0.3×	15 0.1×	17 0.2×	71 1.0×	12 0.2×	14	407
Byron E. Bork	61 0.4×	63 0.6×	206 2.6×	7 0.1×	26 0.4×	10	525
Jie Xu	130 0.9×	51 0.5×	3 0.0×	79 1.1×	67 1.1×	45	531
Robert J. B. Hutton	197 1.4×	18 0.2×	5 0.1×	22 0.3×	62 1.0×	15	526

Countries citing papers authored by Manida Swangnetr

Since Specialization

Citations

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

Fields of papers citing papers by Manida Swangnetr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manida Swangnetr

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