Tom Pape
Impact in
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- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Scheduling and Optimization Algorithms
Papers in
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- demographic modeling and climate adaptation 2
- Multi-Criteria Decision Making 2
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- Supply Chain and Inventory Management 1
- Co-authors
- Martin Utley (1 shared paper)Cecilia Vindrola‐Padros (1 shared paper)Naomi Fulop (1 shared paper)Feryal Erhun (2 shared papers)Paulo Gonçalvès (1 shared paper)Houyuan Jiang (2 shared papers)Svenja C. Sommer (1 shared paper)Paul Kattuman (2 shared papers)
- Journals
- European Journal of Operational Research (2 papers)BMJ Quality & Safety (1 paper)Information Technology and People (1 paper)Computers & Operations Research (1 paper)BJPsych Bulletin (1 paper)
- Partner nations
- United KingdomSwitzerlandPortugal
In The Last Decade
Tom Pape
9 papers receiving 308 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 8
- Industrial and Manufacturing Engineering 59
- Organizational Behavior and Human Resource Management 52
- Management Information Systems 37
- General Health Professions 82
Countries citing papers authored by Tom Pape
This map shows the geographic impact of Tom Pape'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 Tom Pape with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Pape more than expected).
Fields of papers citing papers by Tom Pape
This network shows the impact of papers produced by Tom Pape. 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 Tom Pape. The network helps show where Tom Pape may publish in the future.
Co-authors
The 12 scholars most cited alongside Tom Pape, 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 | 2016 | 163 | |
| 2 | 2016 | 79 | |
| 3 | 2014 | 57 | |
| 4 | 1990 | 13 | |
| 5 | 2020 | 7 | |
| 6 | 2016 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2025 | 0 |
About Tom Pape
Tom Pape is a scholar working on Management Science and Operations Research, Management Information Systems, Modeling and Simulation, Health and General Health Professions, having authored 10 papers that have together received 326 indexed citations. Recurring topics across this work include demographic modeling and climate adaptation (2 papers), Multi-Criteria Decision Making (2 papers), COVID-19 epidemiological studies (2 papers), Health Policy Implementation Science (1 paper), Supply Chain and Inventory Management (1 paper), Bayesian Modeling and Causal Inference (1 paper), Economic and Environmental Valuation (1 paper) and Mental Health and Patient Involvement (1 paper). The work is most often cited by research in Health Informatics (8 citations), Industrial and Manufacturing Engineering (59 citations), Organizational Behavior and Human Resource Management (52 citations), Management Information Systems (37 citations) and General Health Professions (82 citations). Tom Pape has collaborated with scholars based in United Kingdom, Switzerland and Portugal. Frequent co-authors include Martin Utley, Cecilia Vindrola‐Padros, Naomi Fulop, Feryal Erhun, Paulo Gonçalvès, Houyuan Jiang, Svenja C. Sommer, Paul Kattuman, Stefan Scholtes and Paulo Gonçalves. Their work appears in journals such as European Journal of Operational Research, BMJ Quality & Safety, Information Technology and People, Computers & Operations Research and BJPsych Bulletin.
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.