M. Millie Kwan

11 total papers · 429 total citations
8 papers, 267 citations indexed

About

M. Millie Kwan is a scholar working on Management Information Systems, Artificial Intelligence and Communication. According to data from OpenAlex, M. Millie Kwan has authored 8 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Information Systems, 5 papers in Artificial Intelligence and 2 papers in Communication. Recurrent topics in M. Millie Kwan's work include Business Process Modeling and Analysis (5 papers), Semantic Web and Ontologies (5 papers) and Knowledge Management and Sharing (2 papers). M. Millie Kwan is often cited by papers focused on Business Process Modeling and Analysis (5 papers), Semantic Web and Ontologies (5 papers) and Knowledge Management and Sharing (2 papers). M. Millie Kwan collaborates with scholars based in United States and Hong Kong. M. Millie Kwan's co-authors include P. Balasubramanian and John C. Henderson and has published in prestigious journals such as Journal of the Operational Research Society, Decision Support Systems and Journal of the Association for Information Systems.

In The Last Decade

M. Millie Kwan

8 papers receiving 236 citations

Author Peers

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

Author						Papers	Cites
M. Millie Kwan	105	85	82	73	65	8	267
Jason Liebowitz	65 0.6×	43 0.5×	97 1.2×	103 1.4×	122 1.9×	14	319
Satwik Seshasai	130 1.2×	66 0.8×	73 0.9×	33 0.5×	72 1.1×	22	288
Richard C. Hicks	50 0.5×	44 0.5×	53 0.6×	47 0.6×	67 1.0×	17	263
Ebrahim Mansour	87 0.8×	74 0.9×	38 0.5×	58 0.8×	88 1.4×	13	296
Nick Milton	35 0.3×	45 0.5×	54 0.7×	78 1.1×	64 1.0×	15	234
Hauke Heier	116 1.1×	110 1.3×	22 0.3×	44 0.6×	43 0.7×	18	299
Alan Eardley	95 0.9×	55 0.6×	20 0.2×	26 0.4×	78 1.2×	21	312
Kishen Iyengar	96 0.9×	34 0.4×	55 0.7×	17 0.2×	118 1.8×	9	299
Margaret T. O’Hara	39 0.4×	55 0.6×	43 0.5×	26 0.4×	55 0.8×	13	308
Rob van der Spek	59 0.6×	30 0.4×	92 1.1×	51 0.7×	152 2.3×	15	321

Countries citing papers authored by M. Millie Kwan

Since Specialization

Citations

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

Fields of papers citing papers by M. Millie Kwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Millie Kwan. 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 M. Millie Kwan. The network helps show where M. Millie Kwan may publish in the future.

Co-authorship network of co-authors of M. Millie Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Millie Kwan. A scholar is included among the top collaborators of M. Millie Kwan 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 M. Millie Kwan. M. Millie Kwan 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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