Min Mun
Impact in
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Human Mobility and Location-Based Analysis 7
- Transportation Planning and Optimization 2
-
- Context-Aware Activity Recognition Systems 4
- Co-authors
- Deborah Estrin (6 shared papers)Mark Hansen (6 shared papers)Jeff Burke (4 shared papers)Sasank Reddy (2 shared papers)Mani Srivastava (1 shared paper)Katie Shilton (5 shared papers)Ruth West (1 shared paper)Péter Boda (1 shared paper)
- Journals
- ACM Transactions on Sensor Networks (2 papers)Proceedings of the VLDB Endowment (2 papers)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Min Mun
9 papers receiving 1.4k citations
Min Mun's Hit Papers
Peers
Comparison fields: 5 of 83
- Transportation 758
- Computer Science Applications 456
- Computer Vision and Pattern Recognition 441
- Signal Processing 180
- Human-Computer Interaction 84
Countries citing papers authored by Min Mun
This map shows the geographic impact of Min Mun'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 Min Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Mun more than expected).
Fields of papers citing papers by Min Mun
This network shows the impact of papers produced by Min Mun. 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 Min Mun. The network helps show where Min Mun may publish in the future.
Co-authors
The 24 scholars most cited alongside Min Mun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Using mobile phones to determine transportation modes Hit paper breakdown → | 2010 | 695 |
| 2 | PEIR, the personal environmental impact report, as a platform for participatory sensing systems research Hit paper breakdown → | 2009 | 538 |
| 3 | 2010 | 109 | |
| 4 | 2010 | 43 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 32 | |
| 7 | 2014 | 20 | |
| 8 | Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing | 2009 | 16 |
| 9 | 2014 | 1 | |
| 10 | Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing | 2009 | 0 |
| 11 | 2023 | 0 |
About Min Mun
Min Mun is a scholar working on Transportation, Computer Vision and Pattern Recognition, Computer Science Applications, Sociology and Political Science and Artificial Intelligence, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (7 papers), Context-Aware Activity Recognition Systems (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Privacy, Security, and Data Protection (2 papers), Transportation Planning and Optimization (2 papers), Water Systems and Optimization (1 paper), Traffic Prediction and Management Techniques (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Transportation (758 citations), Computer Science Applications (456 citations), Computer Vision and Pattern Recognition (441 citations), Signal Processing (180 citations) and Human-Computer Interaction (84 citations). Min Mun has collaborated with scholars based in United States and South Korea. Frequent co-authors include Deborah Estrin, Mark Hansen, Jeff Burke, Sasank Reddy, Mani Srivastava, Katie Shilton, Ruth West, Péter Boda, Nathan Yau and Eric Howard. Their work appears in journals such as ACM Transactions on Sensor Networks, Proceedings of the VLDB Endowment, ScholarWorks@UMassAmherst (University of Massachusetts Amherst) and eScholarship (California Digital Library).
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.