Jeffrey Pound
- Information Systems top 5%
- Web Data Mining and Analysis 6
- Service-Oriented Architecture and Web Services 2
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 12
- Topic Modeling 4
- Natural Language Processing Techniques 3
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- Data Quality and Management 4
- Signal Processing top 10%
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- Advanced Image and Video Retrieval Techniques 4
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- Advanced Database Systems and Queries 3
Jeffrey Pound
19 papers receiving 486 citations
Peers
Comparison fields: 5 of 48
- Information Systems 255
- Artificial Intelligence 346
- Computer Science Applications 53
- Management Science and Operations Research 113
- Signal Processing 82
Countries citing papers authored by Jeffrey Pound
This map shows the geographic impact of Jeffrey Pound'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 Jeffrey Pound with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Pound more than expected).
Fields of papers citing papers by Jeffrey Pound
This network shows the impact of papers produced by Jeffrey Pound. 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 Jeffrey Pound. The network helps show where Jeffrey Pound may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey Pound, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 13 | |
| 5 | A Cloud-native Architecture for Replicated Data Services | 2020 | 1 |
| 6 | 2015 | 34 | |
| 7 | 2013 | 17 | |
| 8 | 2013 | 0 | |
| 9 | 2012 | 35 | |
| 10 | 2011 | 3 | |
| 11 | Entity Search Evaluation over Structured Web Data | 2011 | 31 |
| 12 | 2011 | 24 | |
| 13 | 2011 | 57 | |
| 14 | 2010 | 33 | |
| 15 | 2010 | 2 | |
| 16 | Evaluating Ad-Hoc Object Retrieval | 2010 | 29 |
| 17 | Concept Projection in Algebras for Computing Certain Answer Descriptions. | 2009 | 1 |
| 18 | Fair cycle detection using description logic reasoning | 2009 | 1 |
| 19 | On Ordering and Indexing Metadata for the Semantic Web | 2008 | 3 |
| 20 | 2003 | 92 |
About Jeffrey Pound
Jeffrey Pound is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Software and Computer Networks and Communications, having authored 21 papers that have together received 516 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Web Data Mining and Analysis (6 papers), Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Data Quality and Management (4 papers), Advanced Database Systems and Queries (3 papers), Natural Language Processing Techniques (3 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Information Systems (255 citations), Artificial Intelligence (346 citations), Computer Science Applications (53 citations), Management Science and Operations Research (113 citations) and Signal Processing (82 citations). Jeffrey Pound has collaborated with scholars based in Canada, Germany and United Kingdom. Frequent co-authors include Peter Mika, Hugo Zaragoza, Mário A. Nascimento, Jörg Sander, Ihab F. Ilyas, Grant Weddell, Daniel M. Herzig, Roi Blanco, Harry Halpin and Henry S. Thompson. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, Journal of Web Semantics, Research Explorer (The University of Manchester) and Proceedings of the ACM on Management of Data.
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.