Gregory Buehrer
- Information Systems top 2%
- Data Mining Algorithms and Applications 12
- Signal Processing top 5%
- Data Management and Algorithms 4
- Artificial Intelligence top 5%
- Algorithms and Data Compression 9
- Data Stream Mining Techniques 3
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- Peer-to-Peer Network Technologies 5
- Advanced Database Systems and Queries 3
- Caching and Content Delivery 2
- Hardware and Architecture top 10%
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- Rough Sets and Fuzzy Logic 3
- Co-authors
- Bruce W. WeidePaolo A. G. SivilottiKumar ChellapillaSrinivasan ParthasarathyAmol GhotingYen-Kuang ChenAnthony D. NguyenPradeep Dubey
- 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
17 papers receiving 554 citations
Peers
Comparison fields: 5 of 32
- Information Systems 456
- Signal Processing 173
- Artificial Intelligence 386
- Computer Networks and Communications 177
- Hardware and Architecture 47
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-authorship network
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 | 2015 | 6 | |
| 2 | 2010 | 1 | |
| 3 | 2010 | 2 | |
| 4 | 2008 | 8 | |
| 5 | Scalable mining on emerging architectures | 2008 | 1 |
| 6 | 2008 | 137 | |
| 7 | 2007 | 43 | |
| 8 | 2007 | 0 | |
| 9 | 2006 | 31 | |
| 10 | 2006 | 1 | |
| 11 | 2006 | 40 | |
| 12 | 2006 | 28 | |
| 13 | A Characterization of Data Mining Workloads on a Modern Processor. | 2005 | 5 |
| 14 | Cache-conscious frequent pattern mining on a modern processor | 2005 | 41 |
| 15 | 2005 | 3 | |
| 16 | 2005 | 263 | |
| 17 | 2005 | 10 | |
| 18 | 2005 | 3 |
About Gregory Buehrer
Gregory Buehrer is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications, having authored 18 papers that have together received 623 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 Caching and Content Delivery (2 papers). The work is most often cited by research in Information Systems (456 citations), Signal Processing (173 citations) and Artificial Intelligence (386 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, Amol Ghoting, Yen-Kuang Chen, 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.