David J. Buttler
Impact in
- Information Systems top 1%
- Web Data Mining and Analysis
- General Social Sciences top 0.5%
Papers in
-
- Web Data Mining and Analysis 22
-
- Advanced Text Analysis Techniques 9
- Topic Modeling 8
- Algorithms and Data Compression 6
- Co-authors
- David Andrzejewski (2 shared papers)Calton Pu (14 shared papers)Keith Stevens (1 shared paper)Philip Kegelmeyer (1 shared paper)Ling Liu (11 shared papers)Terence Critchlow (12 shared papers)Wei Han (4 shared papers)Alfonso F. Cárdenas (3 shared papers)
- Journals
- ACM SIGMOD Record (6 papers)Advanced Science (2 papers)World Wide Web (2 papers)Information and Software Technology (1 paper)International Journal of Web and Grid Services (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
David J. Buttler
39 papers receiving 1.1k citations
David J. Buttler's Hit Papers
Peers
Comparison fields: 5 of 110
- Information Systems 530
- General Social Sciences 58
- Artificial Intelligence 615
- Computer Networks and Communications 278
- Signal Processing 122
Countries citing papers authored by David J. Buttler
This map shows the geographic impact of David J. Buttler'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 David J. Buttler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Buttler more than expected).
Fields of papers citing papers by David J. Buttler
This network shows the impact of papers produced by David J. Buttler. 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 David J. Buttler. The network helps show where David J. Buttler may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Buttler, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploring Topic Coherence over Many Models and Many Topics Hit paper breakdown → | 2012 | 311 |
| 2 | 2002 | 155 | |
| 3 | A Short Survey of Document Structure Similarity Algorithms | 2004 | 98 |
| 4 | Coreference Resolution with Reconcile | 2010 | 67 |
| 5 | 2020 | 51 | |
| 6 | 2011 | 47 | |
| 7 | 2001 | 44 | |
| 8 | 2002 | 38 | |
| 9 | 2004 | 34 | |
| 10 | 2007 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2004 | 27 | |
| 13 | 1998 | 22 | |
| 14 | 1999 | 20 | |
| 15 | 2002 | 14 | |
| 16 | 2007 | 14 | |
| 17 | 2006 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2019 | 11 |
About David J. Buttler
David J. Buttler is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management and Statistical and Nonlinear Physics, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (22 papers), Advanced Text Analysis Techniques (9 papers), Topic Modeling (8 papers), Advanced Database Systems and Queries (7 papers), Algorithms and Data Compression (6 papers), Complex Network Analysis Techniques (6 papers), Scientific Computing and Data Management (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Information Systems (530 citations), General Social Sciences (58 citations), Artificial Intelligence (615 citations), Computer Networks and Communications (278 citations) and Signal Processing (122 citations). David J. Buttler has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include David Andrzejewski, Calton Pu, Keith Stevens, Philip Kegelmeyer, Ling Liu, Terence Critchlow, Wei Han, Alfonso F. Cárdenas, David Hysom and Wei Tang. Their work appears in journals such as ACM SIGMOD Record, Advanced Science, World Wide Web, Information and Software Technology and International Journal of Web and Grid Services.
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.