Gregory Buehrer
Impact in
- Information Systems top 2%
- Web Application Security Vulnerabilities
- Data Mining Algorithms and Applications
- Signal Processing top 5%
- Data Management and Algorithms
- Advanced Malware Detection Techniques
Papers in
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- Data Mining Algorithms and Applications 12
-
- Algorithms and Data Compression 9
- Data Stream Mining Techniques 3
- Co-authors
- Bruce W. Weide (1 shared paper)Paolo A. G. Sivilotti (1 shared paper)Kumar Chellapilla (1 shared paper)Srinivasan Parthasarathy (17 shared papers)Yen-Kuang Chen (6 shared papers)Amol Ghoting (10 shared papers)Anthony D. Nguyen (5 shared papers)Pradeep Dubey (4 shared papers)
- Journals
- ACM SIGPLAN Notices (1 paper)The VLDB Journal (1 paper)Very Large Data Bases (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Gregory Buehrer
18 papers receiving 645 citations
Peers
Comparison fields: 5 of 34
- Information Systems 521
- Signal Processing 201
- Artificial Intelligence 446
- Computer Networks and Communications 206
- Hardware and Architecture 50
Countries citing papers authored by Gregory Buehrer
This map shows the geographic impact of Gregory Buehrer'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 Gregory Buehrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Buehrer more than expected).
Fields of papers citing papers by Gregory Buehrer
This network shows the impact of papers produced by Gregory Buehrer. 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 Gregory Buehrer. The network helps show where Gregory Buehrer may publish in the future.
Co-authors
The 17 scholars most cited alongside Gregory Buehrer, 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 | 2005 | 303 | |
| 2 | 2008 | 159 | |
| 3 | 2007 | 46 | |
| 4 | Cache-conscious frequent pattern mining on a modern processor | 2005 | 45 |
| 5 | 2006 | 44 | |
| 6 | 2006 | 38 | |
| 7 | 2006 | 33 | |
| 8 | 2008 | 13 | |
| 9 | 2005 | 11 | |
| 10 | 2015 | 7 | |
| 11 | A Characterization of Data Mining Workloads on a Modern Processor. | 2005 | 5 |
| 12 | 2005 | 4 | |
| 13 | 2005 | 3 | |
| 14 | 2008 | 2 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 1 | |
| 17 | Scalable mining on emerging architectures | 2008 | 1 |
| 18 | 2006 | 1 | |
| 19 | 2007 | 0 |
About Gregory Buehrer
Gregory Buehrer is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Computational Theory and Mathematics, having authored 19 papers that have together received 718 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Algorithms and Data Compression (9 papers), Peer-to-Peer Network Technologies (5 papers), Data Management and Algorithms (4 papers), Advanced Database Systems and Queries (3 papers), Rough Sets and Fuzzy Logic (3 papers), Data Stream Mining Techniques (3 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Information Systems (521 citations), Signal Processing (201 citations), Artificial Intelligence (446 citations), Computer Networks and Communications (206 citations) and Hardware and Architecture (50 citations). Gregory Buehrer has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Bruce W. Weide, Paolo A. G. Sivilotti, Kumar Chellapilla, Srinivasan Parthasarathy, Yen-Kuang Chen, Amol Ghoting, Anthony D. Nguyen, Pradeep Dubey, Daehyun Kim and Shirish Tatikonda. Their work appears in journals such as ACM SIGPLAN Notices, The VLDB Journal and Very Large Data Bases.
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.