Timo Gschwind
Impact in
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- Vehicle Routing Optimization Methods
- Optimization and Packing Problems
- Advanced Manufacturing and Logistics Optimization
- Automotive Engineering top 5%
- Transportation and Mobility Innovations
Papers in
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- Vehicle Routing Optimization Methods 20
- Optimization and Packing Problems 6
- Advanced Manufacturing and Logistics Optimization 5
- Scheduling and Optimization Algorithms 3
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- Transportation and Mobility Innovations 8
- Co-authors
- Stefan Irnich (13 shared papers)Michael Drexl (1 shared paper)Nicola Bianchessi (2 shared papers)Stefan Minner (1 shared paper)Michael Schneider (3 shared papers)Dominik Goeke (1 shared paper)Simon Emde (1 shared paper)Fabio Furini (1 shared paper)
In The Last Decade
Timo Gschwind
22 papers receiving 377 citations
Peers
Comparison fields: 5 of 40
- Industrial and Manufacturing Engineering 305
- Automotive Engineering 181
- Building and Construction 137
- Transportation 35
- Marketing 21
Countries citing papers authored by Timo Gschwind
This map shows the geographic impact of Timo Gschwind'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 Timo Gschwind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Gschwind more than expected).
Fields of papers citing papers by Timo Gschwind
This network shows the impact of papers produced by Timo Gschwind. 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 Timo Gschwind. The network helps show where Timo Gschwind may publish in the future.
Co-authors
The 13 scholars most cited alongside Timo Gschwind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2014 | 55 | |
| 3 | 2017 | 52 | |
| 4 | 2017 | 34 | |
| 5 | 2019 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2010 | 20 | |
| 8 | 2016 | 18 | |
| 9 | 2018 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 5 | |
| 16 | 2010 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2023 | 1 |
About Timo Gschwind
Timo Gschwind is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Computer Networks and Communications, Building and Construction and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 383 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (20 papers), Transportation and Mobility Innovations (8 papers), Optimization and Packing Problems (6 papers), Optimization and Search Problems (6 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Scheduling and Optimization Algorithms (3 papers), Robotic Path Planning Algorithms (3 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (305 citations), Automotive Engineering (181 citations), Building and Construction (137 citations), Transportation (35 citations) and Marketing (21 citations). Timo Gschwind has collaborated with scholars based in Germany, Italy and Canada. Frequent co-authors include Stefan Irnich, Michael Drexl, Nicola Bianchessi, Stefan Minner, Michael Schneider, Dominik Goeke, Simon Emde, Fabio Furini, Roberto Wolfler Calvo and Anne Meyer. Their work appears in journals such as European Journal of Operational Research, Transportation Science, Discrete Applied Mathematics, INFORMS journal on computing and OR Spectrum.
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.