Brad Miller
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
-
- Peer-to-Peer Network Technologies 4
- Caching and Content Delivery 4
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- Recommender Systems and Techniques 7
- Co-authors
- John Riedl (9 shared papers)Joseph A. Konstan (6 shared papers)Jonathan L. Herlocker (1 shared paper)David A. Maltz (1 shared paper)Shyong K. Lam (2 shared papers)István Albert (2 shared papers)Al Borchers (1 shared paper)Jon Herlocker (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)IEEE Journal on Selected Areas in Communications (1 paper)Communications of the ACM (1 paper)SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) (1 paper)Journal of computing sciences in colleges (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Brad Miller
29 papers receiving 2.5k citations
Brad Miller's Hit Papers
Peers
Comparison fields: 5 of 86
- Information Systems 2.1k
- Computer Science Applications 294
- Signal Processing 428
- Computer Vision and Pattern Recognition 682
- Artificial Intelligence 922
Countries citing papers authored by Brad Miller
This map shows the geographic impact of Brad Miller'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 Brad Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad Miller more than expected).
Fields of papers citing papers by Brad Miller
This network shows the impact of papers produced by Brad Miller. 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 Brad Miller. The network helps show where Brad Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GroupLens Hit paper breakdown → | 1997 | 1550 |
| 2 | 2003 | 348 | |
| 3 | 1998 | 247 | |
| 4 | 2004 | 194 | |
| 5 | 2016 | 61 | |
| 6 | 2015 | 53 | |
| 7 | 2012 | 42 | |
| 8 | 2013 | 41 | |
| 9 | 2014 | 38 | |
| 10 | Experiences with GroupLens: marking usenet useful again | 1997 | 33 |
| 11 | 2013 | 23 | |
| 12 | 2020 | 23 | |
| 13 | 2014 | 21 | |
| 14 | Problem Solving With Algorithms And Data Structures Using Python | 2005 | 18 |
| 15 | Toward a personal recommender system | 2003 | 16 |
| 16 | Python Programming in Context | 2008 | 13 |
| 17 | 2006 | 11 | |
| 18 | Freedom to succeed: a three course introductory sequence using Python and Java | 2006 | 10 |
| 19 | Performance and Use Evaluation of an Electronic Book for Introductory Python Programming | 2012 | 9 |
| 20 | 2003 | 8 |
About Brad Miller
Brad Miller is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Science Applications and Media Technology, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Online Learning and Analytics (5 papers), Computational Physics and Python Applications (5 papers), Experimental Learning in Engineering (5 papers), Open Education and E-Learning (4 papers), Teaching and Learning Programming (4 papers), Peer-to-Peer Network Technologies (4 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Information Systems (2.1k citations), Computer Science Applications (294 citations), Signal Processing (428 citations), Computer Vision and Pattern Recognition (682 citations) and Artificial Intelligence (922 citations). Brad Miller has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include John Riedl, Joseph A. Konstan, Jonathan L. Herlocker, David A. Maltz, Shyong K. Lam, István Albert, Al Borchers, Jon Herlocker, Badrul Sarwar and Alex Kantchelian. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Journal on Selected Areas in Communications, Communications of the ACM, SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) and Journal of computing sciences in colleges.
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.