Transportation Systems and Logistics
Transportation Systems and Logistics is a research topic within Civil and Structural Engineering. Science Explorer counts 7.1k research works in it since 1954. 6.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and improvement of traffic safety systems and infrastructure, including intelligent transportation systems, road infrastructure, vehicle diagnostics, traffic management, and the environmental impact of transportation. It addresses topics such as accident reconstruction, digital technologies in transportation, and the impact of operational factors on environmental safety.
- Traffic Safety
- Intelligent Transportation Systems
- Road Infrastructure
- Vehicle Diagnostics
- Traffic Management
- Environmental Impact
- Transport Network
- Accident Reconstruction
- Digital Technologies
- Urban Transport
- Research works
- 7.1k fractional, since 1954
- In the world top 10%
- 442 per year above
- Top-10% rate
- 6.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +225% the tick is no change
Which countries lead Transportation Systems and Logistics research?
By volume, Russia and China publish the most (1.1k and 210 works in 2022–2025).
By volume, 2022–2025
- 1 Russia 1.1k works
- 2 China 210 works
- 3 Ukraine 193 works
- 4 United States 83 works
- 5 Uzbekistan 80 works
- 6 Kazakhstan 56 works
- 7 Poland 53 works
- 8 India 45 works
- 9 Slovakia 41 works
- 10 Czechia 39 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 Transportation Systems and Logistics research?
By volume in 2022–2025, Petersburg State Transport University publishes the most Transportation Systems and Logistics research, followed by Russian University of Transport and Voronezh State University of Forestry and Technologies.
By volume, 2022–2025
- 1 Petersburg State Transport UniversityRussia 86 works
- 2 Russian University of TransportRussia 61 works
- 3 Voronezh State University of Forestry and TechnologiesRussia 52 works
- 4 Moscow Automobile and Road Construction State Technical UniversityRussia 49 works
- 5 Tashkent State Transport UniversityUzbekistan 37 works
- 6 University of ŽilinaSlovakia 25 works
- 7 Rostov State Transport UniversityRussia 24 works
- 8 National Transport UniversityUkraine 24 works
- 9 Angarsk State Technical AcademyRussia 22 works
- 10 Siberian Transport UniversityRussia 21 works
Who are the leading researchers in Transportation Systems and Logistics?
The most-cited researchers publishing on Transportation Systems and Logistics include Markos Papageorgiou.
- 1 Markos Papageorgiou Greece 983 citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Transportation Systems and Logistics research done?
The largest centres of Transportation Systems and Logistics research in 2022–2025 are Moscow (Russia), Saint Petersburg (Russia), Voronezh (Russia) and Kyiv (Ukraine). Among places with at least 20 works in it, it is an unusually large share of all research in Angarsk, Žilina and Voronezh.
Largest cities, 2022–2025
- 1 Moscow Russia 335 works
- 2 Saint Petersburg Russia 166 works
- 3 Voronezh Russia 65 works
- 4 Kyiv Ukraine 63 works
- 5 Tashkent Uzbekistan 55 works
- 6 Rostov-on-Don Russia 52 works
- 7 Kharkiv Ukraine 51 works
- 8 Beijing China 51 works
- 9 Yekaterinburg Russia 35 works
- 10 Novosibirsk Russia 34 works
Where it is the local speciality
- AngarskRU · 22.3 works258×
- ŽilinaSK · 25.5 works95×
- VoronezhRU · 65.2 works75×
- OmskRU · 20.6 works50×
Location quotient: how much more of its research is in Transportation Systems and Logistics than the world average.
Where is the best place to study Transportation Systems and Logistics?
Among universities, judged by research, O.M. Beketov National University of Urban Economy in Kharkiv, University of Žilina and Peter the Great St. Petersburg Polytechnic University 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | O.M. Beketov National University of Urban Economy in KharkivUkraine | 73.3 | 24.9% | 57.1× | 8 | +300.8% |
| 2 | University of ŽilinaSlovakia | 65.5 | 9.1% | 96.4× | 25 | +153.9% |
| 3 | Peter the Great St. Petersburg Polytechnic UniversityRussia | 64.0 | 11.2% | 31.2× | 15 | +1205.6% |
| 4 | Moscow Technical University of Communication and InformaticsRussia | 63.1 | 24.9% | 88.1× | 9 | — |
| 5 | Moscow Automobile and Road Construction State Technical UniversityRussia | 61.5 | 3.7% | 678.4× | 49 | +1210.8% |
| 6 | Russian University of TransportRussia | 60.9 | 1.1% | 423.6× | 62 | +2327.1% |
| 7 | Petersburg State Transport UniversityRussia | 54.1 | 1.2% | 567.0× | 86 | — |
| 8 | Tashkent State Transport UniversityUzbekistan | 52.9 | 4.5% | 267.9× | 38 | — |
| 9 | South Ural State UniversityRussia | 51.6 | 1.4% | 40.5× | 11 | +1469.8% |
| 10 | Bauman Moscow State Technical UniversityRussia | 50.9 | 2.5% | 37.4× | 16 | +855.7% |
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 Transportation Systems and Logistics research growing?
Output in 2018–2022 was 225% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Transportation Systems and Logistics.
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.