Peter G. Higgins
- Epidemiology
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Ecology, Evolution, Behavior and Systematics
- Strategy and Management
- Co-authors
- D. A. J. TyrrellAndrew SmithKieran CoyleWulf HaubensakMaximilian HofbauerJohn R. StowersRuth M. FischerKristin Tessmar‐Raible
- Topics
- Human-Automation Interaction and Safety (6 papers)Technology Use by Older Adults (4 papers)Influenza Virus Research Studies (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Peter G. Higgins
24 papers receiving 444 citations
Peers
Comparison fields: 5 of 122
- Epidemiology 65
- Cellular and Molecular Neuroscience 60
- Cognitive Neuroscience 56
- Ecology, Evolution, Behavior and Systematics 55
- Strategy and Management 49
Countries citing papers authored by Peter G. Higgins
This map shows the geographic impact of Peter G. Higgins'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 G. Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter G. Higgins more than expected).
Fields of papers citing papers by Peter G. Higgins
This network shows the impact of papers produced by Peter G. Higgins. 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 G. Higgins. The network helps show where Peter G. Higgins may publish in the future.
Co-authorship network of co-authors of Peter G. Higgins
This figure shows the co-authorship network connecting the top 25 collaborators of Peter G. Higgins. A scholar is included among the top collaborators of Peter G. Higgins 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 G. Higgins. Peter G. Higgins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 164 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | STUDYING THE EXISTING SERVICE PROCESS OF THREE HOSPITAL OUTPATIENT DEPARTMENTS | 2 |
| 9 | 6 | |
| 10 | Modelling human aspects of collaborative scheduling | 6 |
| 11 | COLLECTIVE WORK IN DYNAMIC INTER-ORGANIZATIONAL SCHEDULING | 1 |
| 12 | Interactive Job-Shop Scheduling: How to combine Operations Research Heuristics with Human Abilities | 8 |
| 13 | Hybrid Human-computer Production Scheduling | 1 |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 29 | |
| 17 | 66 | |
| 18 | 12 | |
| 19 | 17 | |
| 20 | 34 |
About Peter G. Higgins
Peter G. Higgins is a scholar working on Human-Computer Interaction, Management of Technology and Innovation and Management Information Systems, having authored 29 papers that have together received 464 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (6 papers), Technology Use by Older Adults (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Behavioral Neuroscience (24 citations) and Marketing (45 citations). Peter G. Higgins has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include D. A. J. Tyrrell, Andrew Smith, Kieran Coyle, Wulf Haubensak, Maximilian Hofbauer, John R. Stowers, Ruth M. Fischer, Kristin Tessmar‐Raible, Karin Nowikovsky and Iain D. Couzin. Their work appears in journals such as Gastroenterology, Nature Methods and Psychological Medicine.
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.