Miles Efron
- Information Systems top 1%
- Information Retrieval and Search Behavior 22
- Web Data Mining and Analysis 9
- Expert finding and Q&A systems 8
- Recommender Systems and Techniques 5
- Artificial Intelligence top 2%
- Topic Modeling 20
- Advanced Text Analysis Techniques 5
- Semantic Web and Ontologies 5
- Health Informatics top 10%
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- Social Media and Politics 4
- Co-authors
- Faraz FaghriZachary StephensChengXiang ZhaiMichael C. SchatzRavishankar K. IyerSaurabh SinhaGene E. RobinsonRoy H. Campbell
- Journals
- Proceedings of the American Society for Information Science and Technology (6 papers)Knowledge and Information Systems (2 papers)ACM SIGIR Forum (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Miles Efron
42 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Information Systems 518
- Artificial Intelligence 631
- Health Informatics 21
- Information Systems and Management 95
- Statistical and Nonlinear Physics 138
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 0 | |
| 2 | Big Data: Astronomical or Genomical?breakdown → | 2015 | 744 |
| 3 | The University of Illinois' Graduate School of Library and Information Science at TREC 2014 | 2014 | 1 |
| 4 | 2014 | 29 | |
| 5 | Overview of the TREC-2013 Microblog Track. | 2013 | 34 |
| 6 | Temporal Relevance Profiles for Tweet Search | 2013 | 4 |
| 7 | 2013 | 14 | |
| 8 | The University of Illinois' Graduate School of Library and Information Science at TREC 2012 | 2011 | 2 |
| 9 | 2011 | 96 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 8 | |
| 12 | University of Texas School of Information at TREC 2007. | 2007 | 10 |
| 13 | Metadata Use in OAI-Compliant Institutional Repositories | 2007 | 4 |
| 14 | 2007 | 2 | |
| 15 | 2006 | 14 | |
| 16 | 2004 | 3 | |
| 17 | Cultural Orientation: Classifying Subjective Documents by Cociation Analysis. | 2004 | 5 |
| 18 | 2004 | 12 | |
| 19 | 2003 | 10 | |
| 20 | Eigenvalue-based estimators for optimal dimensionality reduction in information retrieval | 2003 | 5 |
About Miles Efron
Miles Efron is a scholar working on Information Systems, Artificial Intelligence, Communication, Signal Processing and Computer Science Applications, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (22 papers), Topic Modeling (20 papers), Web Data Mining and Analysis (9 papers), Expert finding and Q&A systems (8 papers), Advanced Text Analysis Techniques (5 papers), Semantic Web and Ontologies (5 papers), Recommender Systems and Techniques (5 papers) and Social Media and Politics (4 papers). The work is most often cited by research in Information Systems (518 citations), Artificial Intelligence (631 citations), Health Informatics (21 citations), Information Systems and Management (95 citations) and Statistical and Nonlinear Physics (138 citations). Miles Efron has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Faraz Faghri, Zachary Stephens, ChengXiang Zhai, Michael C. Schatz, Ravishankar K. Iyer, Saurabh Sinha, Gene E. Robinson, Roy H. Campbell, 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, ACM SIGIR Forum, PLoS Biology 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.