Peter Edwards

8.7k total citations · 3 hit papers
256 papers, 5.5k citations indexed

About

Peter Edwards is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Peter Edwards has authored 256 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 42 papers in Management Science and Operations Research and 39 papers in Information Systems. Recurrent topics in Peter Edwards's work include Scientific Computing and Data Management (31 papers), Construction Project Management and Performance (19 papers) and Semantic Web and Ontologies (18 papers). Peter Edwards is often cited by papers focused on Scientific Computing and Data Management (31 papers), Construction Project Management and Performance (19 papers) and Semantic Web and Ontologies (18 papers). Peter Edwards collaborates with scholars based in United Kingdom, Thailand and Australia. Peter Edwards's co-authors include Akintola Akintoye, Cliff Hardcastle, Paul Bowen, Li Nian Bing, Bing Li, Keith Cattell, David C. Little, David Corsar, John D. Nelson and Alan F. Murray and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Peter Edwards

245 papers receiving 4.9k citations

Hit Papers

The allocation of risk in PPP/PFI construction projects i... 2004 2026 2011 2018 2004 2005 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Edwards United Kingdom 32 1.6k 1.2k 751 562 491 256 5.5k
Wai Peng Wong Singapore 37 1.6k 1.0× 514 0.4× 905 1.2× 167 0.3× 385 0.8× 191 5.2k
Patrick S.W. Fong Hong Kong 40 767 0.5× 864 0.7× 64 0.1× 353 0.6× 519 1.1× 142 4.5k
Michael Lewis United States 41 1.8k 1.1× 559 0.5× 45 0.1× 97 0.2× 216 0.4× 208 6.5k
Sandra Caeiro Portugal 36 723 0.4× 112 0.1× 115 0.2× 656 1.2× 280 0.6× 117 5.4k
David Zilberman United States 66 860 0.5× 748 0.6× 104 0.1× 109 0.2× 1.5k 3.0× 510 16.8k
Alexey Voinov Netherlands 46 304 0.2× 1.2k 1.0× 26 0.0× 368 0.7× 3.2k 6.6× 178 8.4k
Qiang Tu China 34 488 0.3× 113 0.1× 243 0.3× 36 0.1× 186 0.4× 112 7.6k
Evan Fraser Canada 51 619 0.4× 242 0.2× 81 0.1× 357 0.6× 2.5k 5.2× 143 9.6k
Martha C. Cooper United States 23 4.6k 2.8× 1.3k 1.1× 15 0.0× 270 0.5× 222 0.5× 40 11.7k
Michael Lawrence United Kingdom 43 141 0.1× 1.7k 1.4× 213 0.3× 16 0.0× 221 0.5× 209 5.9k

Countries citing papers authored by Peter Edwards

Since Specialization
Citations

This map shows the geographic impact of Peter Edwards'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 Peter Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Edwards more than expected).

Fields of papers citing papers by Peter Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Edwards. 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 Peter Edwards. The network helps show where Peter Edwards may publish in the future.

Co-authorship network of co-authors of Peter Edwards

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Edwards. A scholar is included among the top collaborators of Peter Edwards based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Edwards. Peter Edwards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marković, Milan, Tewodros Alemu Ayall, Nicholas J. Watson, et al.. (2024). Embedding AI-Enabled Data Infrastructures for Sustainability in Agri-Food: Soft-Fruit and Brewery Use Case Perspectives. Sensors. 24(22). 7327–7327. 3 indexed citations
2.
Edwards, Peter, Jean‐Christophe Nebel, D. Greenhill, & Xing Liang. (2024). A Review of Deepfake Techniques: Architecture, Detection, and Datasets. IEEE Access. 12. 154718–154742. 10 indexed citations
3.
Marković, Milan, et al.. (2023). Model pruning enables localized and efficient federated learning for yield forecasting and data sharing. Expert Systems with Applications. 242. 122847–122847. 16 indexed citations
4.
Edwards, Peter. (2016). Panorama: A Study Technique. The Journal of Reading. 1 indexed citations
5.
Marković, Milan & Peter Edwards. (2016). Semantic Stream Processing for IoT Devices in the Food Safety Domain. 1–4. 3 indexed citations
6.
Aranda‐Mena, Guillermo, et al.. (2014). Delivering Value-for-Money in the Operating Phase of Public Private Partnership: Interview Findings. 15(2). 91–110. 3 indexed citations
7.
Marković, Milan, Peter Edwards, & David Corsar. (2013). A role for provenance in social computation. International Semantic Web Conference. 93–95. 2 indexed citations
8.
Edwards, Peter, et al.. (2012). Using Web Services and Policies within a Social Platform to Support Collaborative Research. National Conference on Artificial Intelligence. 2 indexed citations
9.
Marković, Milan, Peter Edwards, David Corsar, & Jeff Z. Pan. (2012). The Crowd and the Web of Linked Data: A Provenance Perspective. National Conference on Artificial Intelligence. 50–51.
10.
Mellish, Chris, et al.. (2011). A Policy-Based Approach to Context Dependent Natural Language Generation. 151–157. 5 indexed citations
11.
Edwards, Peter, et al.. (2004). Context-Aware Personalised Service Delivery. Aberdeen University Research Archive (Aberdeen University). 7 indexed citations
12.
Edwards, Peter & Alan F. Murray. (2000). Committee formation for reliable and accurate neural prediction in industry.. The European Symposium on Artificial Neural Networks. 141–146. 1 indexed citations
13.
Payne, Terry R. & Peter Edwards. (1999). Dimensionality Reduction through Correspondence Analysis. ePrints Soton (University of Southampton). 63. 134–8. 2 indexed citations
14.
Payne, Terry R. & Peter Edwards. (1998). Implicit Feature Selection with the Value Difference Metric. Aberdeen University Research Archive (Aberdeen University). 450–454. 10 indexed citations
15.
Edwards, Peter. (1996). Wastewater-fed aquaculture systems: status and prospects. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 19(1). 33–35. 7 indexed citations
16.
Payne, Terry R. & Peter Edwards. (1995). Learning Mechanisms for Information Filtering Agents. Aberdeen University Research Archive (Aberdeen University). 163–183. 2 indexed citations
17.
Edwards, Peter, et al.. (1995). Distributed Learning: An Agent-Based Approach to Data-Mining. Aberdeen University Research Archive (Aberdeen University). 68(6). 690–690. 14 indexed citations
18.
Murray, Alan F. & Peter Edwards. (1992). Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory. Neural Information Processing Systems. 5. 491–498. 7 indexed citations
19.
Edwards, Peter, R.S.V. Pullin, & J. Gartner. (1988). Research and education for the development of integrated crop-livestock-fish farming systems in the tropics. Technical reports. 29 indexed citations
20.
Edwards, Peter, et al.. (1984). Fish culture for small-scale farmers. Medical Entomology and Zoology. 88(1). 17–26. 2 indexed citations

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.

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