Peiwei Mi

410 citations
14 papers · 236 indexed · h-index 6

Impact in

Papers in

Peiwei Mi

12 papers receiving 201 citations

Peers

Peiwei Mi
Comparison fields: 5 of 27
  • Management Information Systems 116
  • Information Systems 190
  • Software 30
  • Computer Science Applications 28
  • Artificial Intelligence 87
Replace Stef Joosten with:
Stef Joosten Netherlands
Isabelle Mirbel France
Alberto Siena Italy
Patricia Oberndorf United States
David Carney United States
Geoffrey Clemm Germany
Xavier Burgués Illa Spain
Christiane Differding Germany
Ronald R. Willis United States
Wolfhart B. Goethert United States
Peiwei Mi relative to Stef Joosten Netherlands Stef Joosten's profile →
Citations per field
00.5×1.5×
Stef Joosten · 1×
Citations per year

Countries citing papers authored by Peiwei Mi

Since Specialization
Citations

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

Fields of papers citing papers by Peiwei Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Peiwei Mi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peiwei Mi Line = papers co-authored together Peiwei Mi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 199071
2 199263
3 199641
4 199720
5 200514
6 199411
7 20025
8 20024
9 19973
10 20032
11
Experiences in the Modeling, Analysis, and Simulation of Formalized Software Processes.
19931
12 20251
13 20170
14 20050

About Peiwei Mi

Peiwei Mi is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Software and Computer Networks and Communications, having authored 14 papers that have together received 236 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (10 papers), Software Engineering Research (7 papers), Service-Oriented Architecture and Web Services (6 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Techniques and Practices (4 papers), Model-Driven Software Engineering Techniques (2 papers), Multi-Agent Systems and Negotiation (1 paper) and Open Source Software Innovations (1 paper). The work is most often cited by research in Management Information Systems (116 citations), Information Systems (190 citations), Software (30 citations), Computer Science Applications (28 citations) and Artificial Intelligence (87 citations). Peiwei Mi has collaborated with scholars based in United States and China. Frequent co-authors include Walt Scacchi, Pankaj Garg, Thuan Quoc Pham, Yan Dai, Gaohong He, Xiaohua Yang, Minggang Guo and Shikai Liu. Their work appears in journals such as Decision Support Systems, IEEE Software, Separation and Purification Technology, IEEE Transactions on Knowledge and Data Engineering and Intelligent Systems in Accounting Finance & Management.

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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