Jim Parr
- Computational Theory and Mathematics top 5%
- Aquatic Science top 2%
- Statistics, Probability and Uncertainty top 5%
- Immunology
- Artificial Intelligence
- Co-authors
- Alexander I. J. ForresterCarren HoldenAndy J. KeaneMahmoud RowshandeliIan ForsterDave HiggsB.S. DosanjhAmmar Al‐Chalabi
- Topics
- Advanced Multi-Objective Optimization Algorithms (4 papers)Probabilistic and Robust Engineering Design (3 papers)Optimal Experimental Design Methods (3 papers)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Jim Parr
11 papers receiving 441 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 170
- Aquatic Science 169
- Statistics, Probability and Uncertainty 77
- Immunology 73
- Artificial Intelligence 72
Countries citing papers authored by Jim Parr
This map shows the geographic impact of Jim Parr'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 Jim Parr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Parr more than expected).
Fields of papers citing papers by Jim Parr
This network shows the impact of papers produced by Jim Parr. 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 Jim Parr. The network helps show where Jim Parr may publish in the future.
Co-authorship network of co-authors of Jim Parr
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Parr. A scholar is included among the top collaborators of Jim Parr 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 Jim Parr. Jim Parr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 17 | |
| 5 | 41 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 155 | |
| 9 | Review of efficient surrogate infill sampling criteria with constraint handling | 22 |
| 10 | 181 | |
| 11 | 16 |
About Jim Parr
Jim Parr is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 11 papers that have together received 474 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Aquatic Science (169 citations), Physiology (68 citations) and Statistics, Probability and Uncertainty (77 citations). Jim Parr has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Alexander I. J. Forrester, Carren Holden, Andy J. Keane, Mahmoud Rowshandeli, Ian Forster, Dave Higgs, B.S. Dosanjh, Ammar Al‐Chalabi, Luis Garcia‐Gancedo and Arseniy Lavrov. Their work appears in journals such as Aquaculture, Veterinary Record and JMIR mhealth and uhealth.
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.