Dan Frankowski
- Communication top 0.5%
- Wikis in Education and Collaboration 5
- Knowledge Management and Sharing 4
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing 3
- Transportation top 2%
- Human Mobility and Location-Based Analysis 5
- Information Systems top 1%
- Recommender Systems and Techniques 5
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- Digital Marketing and Social Media 4
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- Peer-to-Peer Network Technologies 3
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- Complex Network Analysis Techniques 3
- Co-authors
- Loren TerveenDan CosleyJohn RiedlPamela LudfordRobert E. KrautAl Mamunur RashidGerard BeenenKlarissa Chang
- Journals
- Journal of Computer-Mediated Communication (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Dan Frankowski
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Communication 650
- Computer Science Applications 473
- Transportation 261
- Information Systems 544
- Information Systems and Management 145
Countries citing papers authored by Dan Frankowski
This map shows the geographic impact of Dan Frankowski'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 Dan Frankowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Frankowski more than expected).
Fields of papers citing papers by Dan Frankowski
This network shows the impact of papers produced by Dan Frankowski. 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 Dan Frankowski. The network helps show where Dan Frankowski may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Dan Frankowski, 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 | 2016 | 59 | |
| 2 | 2007 | 170 | |
| 3 | 2007 | 12 | |
| 4 | 2007 | 147 | |
| 5 | 2007 | 9 | |
| 6 | 2007 | 47 | |
| 7 | 2006 | 273 | |
| 8 | 2006 | 52 | |
| 9 | 2006 | 14 | |
| 10 | 2006 | 69 | |
| 11 | 2006 | 83 | |
| 12 | 2005 | 76 | |
| 13 | 2005 | 23 | |
| 14 | 2005 | 338 | |
| 15 | Talking about Place: An Experiment in How People Describe Places ¤ | 2005 | 12 |
| 16 | 2004 | 105 | |
| 17 | 2004 | 101 | |
| 18 | Discovering personal gazetteers: An interactive clustering approach | 2004 | 4 |
| 19 | 2004 | 216 | |
| 20 | 1993 | 17 |
About Dan Frankowski
Dan Frankowski is a scholar working on Communication, Computer Science Applications and Transportation, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (5 papers), Recommender Systems and Techniques (5 papers), Human Mobility and Location-Based Analysis (5 papers), Knowledge Management and Sharing (4 papers), Digital Marketing and Social Media (4 papers), Peer-to-Peer Network Technologies (3 papers), Complex Network Analysis Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Communication (650 citations), Computer Science Applications (473 citations) and Transportation (261 citations). Dan Frankowski has collaborated with scholars based in United States. Frequent co-authors include Loren Terveen, Dan Cosley, John Riedl, Pamela Ludford, Robert E. Kraut, Al Mamunur Rashid, Gerard Beenen, Klarissa Chang, Xiaoqing Wang and Paul Resnick. Their work appears in journals such as Journal of Computer-Mediated Communication, ACM Transactions on Information Systems and IEEE Transactions on Knowledge and Data Engineering.
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.