Miles Efron
Impact in
- Information Systems top 1%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Expert finding and Q&A systems
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
-
- Information Retrieval and Search Behavior 24
- Expert finding and Q&A systems 9
- Web Data Mining and Analysis 9
- Recommender Systems and Techniques 5
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- Topic Modeling 21
- Advanced Text Analysis Techniques 5
- Semantic Web and Ontologies 5
- Co-authors
- Gene E. Robinson (1 shared paper)ChengXiang Zhai (1 shared paper)Roy H. Campbell (1 shared paper)Faraz Faghri (1 shared paper)Saurabh Sinha (1 shared paper)Michael C. Schatz (1 shared paper)Ravishankar K. Iyer (1 shared paper)Zachary Stephens (1 shared paper)
- Journals
- Proceedings of the American Society for Information Science and Technology (6 papers)Knowledge and Information Systems (2 papers)PLoS Biology (1 paper)ACM SIGIR Forum (1 paper)Information Processing & Management (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Miles Efron
44 papers receiving 1.6k citations
Miles Efron's Hit Papers
Peers
Comparison fields: 5 of 129
- Information Systems 612
- Artificial Intelligence 740
- Health Informatics 27
- Information Systems and Management 99
- Statistical and Nonlinear Physics 163
Countries citing papers authored by Miles Efron
This map shows the geographic impact of Miles Efron'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 Miles Efron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miles Efron more than expected).
Fields of papers citing papers by Miles Efron
This network shows the impact of papers produced by Miles Efron. 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 Miles Efron. The network helps show where Miles Efron may publish in the future.
Co-authors
The 25 scholars most cited alongside Miles Efron, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Big Data: Astronomical or Genomical? Hit paper breakdown → | 2015 | 867 |
| 2 | 2010 | 137 | |
| 3 | 2011 | 110 | |
| 4 | 2011 | 96 | |
| 5 | 2010 | 73 | |
| 6 | 2012 | 69 | |
| 7 | Overview of the TREC-2013 Microblog Track. | 2013 | 41 |
| 8 | 2014 | 35 | |
| 9 | 2004 | 23 | |
| 10 | 2005 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2013 | 18 | |
| 13 | 2006 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2007 | 15 | |
| 16 | 2010 | 14 | |
| 17 | University of Texas School of Information at TREC 2007. | 2007 | 12 |
| 18 | 2004 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2005 | 12 |
About Miles Efron
Miles Efron is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Communication, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (24 papers), Topic Modeling (21 papers), Expert finding and Q&A systems (9 papers), Web Data Mining and Analysis (9 papers), Data Management and Algorithms (5 papers), Advanced Text Analysis Techniques (5 papers), Recommender Systems and Techniques (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Information Systems (612 citations), Artificial Intelligence (740 citations), Health Informatics (27 citations), Information Systems and Management (99 citations) and Statistical and Nonlinear Physics (163 citations). Miles Efron has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Gene E. Robinson, ChengXiang Zhai, Roy H. Campbell, Faraz Faghri, Saurabh Sinha, Michael C. Schatz, Ravishankar K. Iyer, Zachary Stephens, Gene Golovchinsky and Jimmy Lin. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Knowledge and Information Systems, PLoS Biology, ACM SIGIR Forum and Information Processing & 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.