James P. Newall
- Management Science and Operations Research top 2%
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Topics
- Scheduling and Timetabling Solutions (6 papers)Constraint Satisfaction and Optimization (4 papers)Scheduling and Optimization Algorithms (3 papers)
- Cited by
- Management Science and Operations ResearchIndustrial and Manufacturing EngineeringComputer Networks and Communications
- Journals
- IEEE Transactions on Evolutionary ComputationAnnals of Operations ResearchEvolutionary Computation
- Partner nations
- United KingdomNetherlands
In The Last Decade
James P. Newall
6 papers receiving 399 citations
Peers
Comparison fields: 5 of 50
- Management Science and Operations Research 346
- Industrial and Manufacturing Engineering 228
- Artificial Intelligence 184
- Computer Networks and Communications 156
- Information Systems 58
Countries citing papers authored by James P. Newall
This map shows the geographic impact of James P. Newall'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 James P. Newall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James P. Newall more than expected).
Fields of papers citing papers by James P. Newall
This network shows the impact of papers produced by James P. Newall. 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 James P. Newall. The network helps show where James P. Newall may publish in the future.
Co-authorship network of co-authors of James P. Newall
This figure shows the co-authorship network connecting the top 25 collaborators of James P. Newall. A scholar is included among the top collaborators of James P. Newall 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 James P. Newall. James P. Newall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 135 | |
| 2 | 91 | |
| 3 | 53 | |
| 4 | 109 | |
| 5 | 55 | |
| 6 | A Phased Evolutionary Approach for the Timetable Problem: An Initial Study. | 0 |
| 7 | Measuring the quality of medical care: a beginning. | 3 |
About James P. Newall
James P. Newall is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 7 papers that have together received 446 indexed citations. Recurring topics across this work include Scheduling and Timetabling Solutions (6 papers), Constraint Satisfaction and Optimization (4 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (346 citations), Industrial and Manufacturing Engineering (228 citations) and Computer Networks and Communications (156 citations). James P. Newall has collaborated with scholars based in United Kingdom and Netherlands. Frequent co-authors include Edmund Burke, Sanja Petrović, Yuri Bykov, Rupert F. Weare, J. Sedransk and Sandra S. Kramer. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Annals of Operations Research and Evolutionary Computation.
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.