Scheduling and Timetabling Solutions
Scheduling and Timetabling Solutions is a research topic within Management Science and Operations Research. Science Explorer counts 8.5k research works in it since 1952. 15.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the optimization of staff scheduling and rostering, including topics such as nurse rostering, timetabling, metaheuristics, graph coloring, personnel scheduling, and workforce planning. The papers explore various algorithms and models to efficiently allocate and schedule staff in different domains, aiming to minimize costs and improve operational efficiency.
- Scheduling
- Rostering
- Timetabling
- Nurse Rostering
- Metaheuristics
- Graph Coloring
- Personnel Scheduling
- Workforce Planning
- Shift Scheduling
- Optimization
- Research works
- 8.5k fractional, since 1952
- In the world top 10%
- 1.3k per year above
- Top-10% rate
- 15.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +14% the tick is no change
Which countries lead Scheduling and Timetabling Solutions research?
By volume, China and the United States publish the most (221 and 127 works in 2022–2025).
By volume, 2022–2025
- 1 China 221 works
- 2 United States 127 works
- 3 India 126 works
- 4 Indonesia 107 works
- 5 Nigeria 101 works
- 6 Türkiye 71 works
- 7 France 52 works
- 8 United Kingdom 41 works
- 9 Malaysia 35 works
- 10 Germany 35 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Scheduling and Timetabling Solutions research?
By volume in 2022–2025, Sepuluh Nopember Institute of Technology publishes the most Scheduling and Timetabling Solutions research, followed by Telkom University and Kenyatta University.
By volume, 2022–2025
- 1 Sepuluh Nopember Institute of TechnologyIndonesia 8 works
- 2 Telkom UniversityIndonesia 7 works
- 3 Kenyatta UniversityKenya 6 works
- 4 Université d'AngersFrance 6 works
- 5 Delta State UniversityNigeria 6 works
- 6 University of CalabarNigeria 5 works
- 7 Huazhong University of Science and TechnologyChina 5 works
- 8 TU WienAustria 5 works
- 9 Shanghai Jiao Tong UniversityChina 5 works
- 10 Ghent UniversityBelgium 5 works
Who are the leading researchers in Scheduling and Timetabling Solutions?
The most-cited researchers publishing on Scheduling and Timetabling Solutions include Hui Xiong and Gilbert Laporte.
- 1 Hui Xiong United States 2.9k citations
- 2 Gilbert Laporte Canada 2.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Scheduling and Timetabling Solutions research done?
The largest centres of Scheduling and Timetabling Solutions research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Nairobi (Kenya).
Where is the best place to study Scheduling and Timetabling Solutions?
Among universities, judged by research, Sepuluh Nopember Institute of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Sepuluh Nopember Institute of TechnologyIndonesia | 0.0 | 4.0% | 13.4× | 8 | +268.9% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Scheduling and Timetabling Solutions research growing?
Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Scheduling and Timetabling Solutions.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.