Neal Sample
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Peer-to-Peer Network Technologies
Papers in
-
- Advanced Database Systems and Queries 5
- Distributed and Parallel Computing Systems 4
- Peer-to-Peer Network Technologies 2
-
- Data Management and Algorithms 6
- Co-authors
- Brian F. Cooper (4 shared papers)Michael J. Franklin (4 shared papers)Gı́sli R. Hjaltason (2 shared papers)Gio Wiederhold (3 shared papers)Mark G. Arnold (2 shared papers)Timothy J. Purcell (2 shared papers)L. F. Cohen (2 shared papers)
- Journals
- World Wide Web (1 paper)Very Large Data Bases (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)Parallel and Distributed Processing Techniques and Applications (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Neal Sample
13 papers receiving 195 citations
Peers
Comparison fields: 5 of 25
- Signal Processing 173
- Computer Networks and Communications 193
- Artificial Intelligence 144
- Information Systems 59
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Neal Sample
This map shows the geographic impact of Neal Sample'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 Neal Sample with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal Sample more than expected).
Fields of papers citing papers by Neal Sample
This network shows the impact of papers produced by Neal Sample. 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 Neal Sample. The network helps show where Neal Sample may publish in the future.
Co-authors
The 7 scholars most cited alongside Neal Sample, 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 | A Fast Index for Semistructured Data | 2001 | 183 |
| 2 | Composition of Multi-site Services | 1999 | 11 |
| 3 | 2002 | 8 | |
| 4 | Optimizing Search Strategies in k-d Trees | 2001 | 7 |
| 5 | 2003 | 3 | |
| 6 | 2002 | 3 | |
| 7 | 2003 | 3 | |
| 8 | 2002 | 2 | |
| 9 | 2000 | 2 | |
| 10 | Pipeline Expansion in Coordinated Applications. | 1999 | 1 |
| 11 | 2001 | 1 | |
| 12 | Hybrid Search for Optimization of High-Dimensional k-d Trees | 1999 | 1 |
| 13 | 1999 | 1 |
About Neal Sample
Neal Sample is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 13 papers that have together received 226 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Advanced Database Systems and Queries (5 papers), Distributed and Parallel Computing Systems (4 papers), Scientific Computing and Data Management (3 papers), Algorithms and Data Compression (3 papers), Peer-to-Peer Network Technologies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Signal Processing (173 citations), Computer Networks and Communications (193 citations), Artificial Intelligence (144 citations), Information Systems (59 citations) and Computer Vision and Pattern Recognition (21 citations). Neal Sample has collaborated with scholars based in United States and France. Frequent co-authors include Brian F. Cooper, Michael J. Franklin, Gı́sli R. Hjaltason, Gio Wiederhold, Mark G. Arnold, Timothy J. Purcell and L. F. Cohen. Their work appears in journals such as World Wide Web, Very Large Data Bases, ACM SIGSOFT Software Engineering Notes and Parallel and Distributed Processing Techniques and Applications.
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.