Shwu-Min Horng

37 total papers · 588 total citations
22 papers, 426 citations indexed

About

Shwu-Min Horng is a scholar working on Sociology and Political Science, Information Systems and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Shwu-Min Horng has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 11 papers in Information Systems and Management and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Shwu-Min Horng's work include Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (11 papers) and Scheduling and Optimization Algorithms (7 papers). Shwu-Min Horng is often cited by papers focused on Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (11 papers) and Scheduling and Optimization Algorithms (7 papers). Shwu-Min Horng collaborates with scholars based in Taiwan, United States and China. Shwu-Min Horng's co-authors include John Fowler, Jeffery K. Cochran, Chui-Yu Chiu, W. Matthew Carlyle, Esma S. Gel and Ting‐Peng Liang and has published in prestigious journals such as Information & Management, Computers & Operations Research and Computer Communications.

In The Last Decade

Shwu-Min Horng

21 papers receiving 404 citations

Author Peers

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

Author						Papers	Cites
Shwu-Min Horng	173	122	74	59	41	22	426
Wentian Cui	118 0.7×	101 0.8×	49 0.7×	28 0.5×	12 0.3×	34	406
Kellie B. Keeling	133 0.8×	62 0.5×	55 0.7×	53 0.9×	11 0.3×	19	414
Brian Hollocks	76 0.4×	35 0.3×	38 0.5×	22 0.4×	22 0.5×	37	478
Say Leng Goh	162 0.9×	49 0.4×	48 0.6×	117 2.0×	21 0.5×	31	453
Gwo‐Ji Sheen	184 1.1×	44 0.4×	55 0.7×	10 0.2×	62 1.5×	18	463
Patrick G. McKeown	114 0.7×	28 0.2×	31 0.4×	54 0.9×	234 5.7×	40	471
David A. Marca	89 0.5×	27 0.2×	18 0.2×	105 1.8×	36 0.9×	19	475
Yanzhong Dang	60 0.3×	71 0.6×	15 0.2×	126 2.1×	21 0.5×	55	493
Solomon Antony	121 0.7×	50 0.4×	57 0.8×	95 1.6×	7 0.2×	13	381
Bora Kolfal	80 0.5×	88 0.7×	23 0.3×	22 0.4×	18 0.4×	18	436

Countries citing papers authored by Shwu-Min Horng

Since Specialization

Citations

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

Fields of papers citing papers by Shwu-Min Horng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shwu-Min Horng. 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 Shwu-Min Horng. The network helps show where Shwu-Min Horng may publish in the future.

Co-authorship network of co-authors of Shwu-Min Horng

This figure shows the co-authorship network connecting the top 25 collaborators of Shwu-Min Horng. A scholar is included among the top collaborators of Shwu-Min Horng 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 Shwu-Min Horng. Shwu-Min Horng 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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