Pete Smith
Impact in
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Sensor Technology and Measurement Systems 1
- Advanced Database Systems and Queries 1
-
- Semantic Web and Ontologies 1
- Neural Networks and Applications 1
- Co-authors
- Jagdev Bhogal (1 shared paper)Andy MacFarlane (1 shared paper)Rosanna Breen (1 shared paper)Alan Jenkins (1 shared paper)Roger Lindsay (1 shared paper)J. F. Tait (1 shared paper)David Gaucher (1 shared paper)John R. Schott (1 shared paper)
- Journals
- Online Learning (1 paper)Photogrammetric Engineering & Remote Sensing (1 paper)Information Processing & Management (1 paper)Studies in Higher Education (1 paper)WIT transactions on information and communication technologies (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Pete Smith
5 papers receiving 276 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 194
- Information Systems 134
- Computer Science Applications 23
- Signal Processing 45
- Communication 17
Countries citing papers authored by Pete Smith
This map shows the geographic impact of Pete Smith'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 Pete Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pete Smith more than expected).
Fields of papers citing papers by Pete Smith
This network shows the impact of papers produced by Pete Smith. 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 Pete Smith. The network helps show where Pete Smith may publish in the future.
Co-authors
The 9 scholars most cited alongside Pete Smith, 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 | 2006 | 247 | |
| 2 | 2001 | 55 | |
| 3 | 2008 | 5 | |
| 4 | 1970 | 4 | |
| 5 | TERRAIN CLASSIFICATION USING COLOR IMAGERY | 1977 | 1 |
| 6 | 2025 | 0 |
About Pete Smith
Pete Smith is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Information Systems and Education, having authored 6 papers that have together received 312 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (1 paper), Online Learning and Analytics (1 paper), Sensor Technology and Measurement Systems (1 paper), Neural Networks and Applications (1 paper), Advanced Database Systems and Queries (1 paper), Web Data Mining and Analysis (1 paper), Machine Fault Diagnosis Techniques (1 paper) and Smart Agriculture and AI (1 paper). The work is most often cited by research in Artificial Intelligence (194 citations), Information Systems (134 citations), Computer Science Applications (23 citations), Signal Processing (45 citations) and Communication (17 citations). Pete Smith has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jagdev Bhogal, Andy MacFarlane, Rosanna Breen, Alan Jenkins, Roger Lindsay, J. F. Tait, David Gaucher, John R. Schott and Peng Wang. Their work appears in journals such as Online Learning, Photogrammetric Engineering & Remote Sensing, Information Processing & Management, Studies in Higher Education and WIT transactions on information and communication technologies.
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.