Travis K. Huang

25 total papers · 563 total citations
18 papers, 368 citations indexed

About

Travis K. Huang is a scholar working on Information Systems and Management, Sociology and Political Science and Communication. According to data from OpenAlex, Travis K. Huang has authored 18 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems and Management, 9 papers in Sociology and Political Science and 7 papers in Communication. Recurrent topics in Travis K. Huang's work include Technology Adoption and User Behaviour (10 papers), Knowledge Management and Sharing (7 papers) and Digital Marketing and Social Media (6 papers). Travis K. Huang is often cited by papers focused on Technology Adoption and User Behaviour (10 papers), Knowledge Management and Sharing (7 papers) and Digital Marketing and Social Media (6 papers). Travis K. Huang collaborates with scholars based in Taiwan and South Sudan. Travis K. Huang's co-authors include Eugenia Y. Huang, Kuan‐Yu Lin, Fong-Ling Fu, Sheng-Wei Lin and Louis Yi-Shih Lo and has published in prestigious journals such as Computers & Education, Decision Support Systems and Technology in Society.

In The Last Decade

Travis K. Huang

18 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Travis K. Huang 136 135 87 85 69 18 368
Guido Lang 90 0.7× 148 1.1× 57 0.7× 82 1.0× 52 0.8× 30 379
Heike Schaumburg 81 0.6× 184 1.4× 133 1.5× 65 0.8× 39 0.6× 30 424
Radu Lixăndroiu 86 0.6× 144 1.1× 45 0.5× 71 0.8× 42 0.6× 32 403
Raymond D. Frost 102 0.8× 145 1.1× 46 0.5× 115 1.4× 30 0.4× 24 346
Sharath Sasidharan 162 1.2× 111 0.8× 86 1.0× 22 0.3× 63 0.9× 22 398
Mathupayas Thongmak 170 1.3× 157 1.2× 101 1.2× 68 0.8× 37 0.5× 39 405
Colleen Carraher Wolverton 113 0.8× 148 1.1× 72 0.8× 66 0.8× 19 0.3× 19 424
Simona Sternad Zabukovšek 103 0.8× 104 0.8× 94 1.1× 38 0.4× 24 0.3× 29 377
Christine Van Toorn 105 0.8× 76 0.6× 51 0.6× 34 0.4× 64 0.9× 21 359
Fang Xu 207 1.5× 163 1.2× 66 0.8× 48 0.6× 23 0.3× 18 414

Countries citing papers authored by Travis K. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Travis K. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis K. Huang. 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 Travis K. Huang. The network helps show where Travis K. Huang may publish in the future.

Co-authorship network of co-authors of Travis K. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Travis K. Huang. A scholar is included among the top collaborators of Travis K. Huang 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 Travis K. Huang. Travis K. Huang 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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