Martin Skutella
-
- Scheduling and Optimization Algorithms 23
- Optimization and Packing Problems 12
-
- Optimization and Search Problems 43
- Transportation top 2%
- Transportation Planning and Optimization 13
-
- Complexity and Algorithms in Graphs 30
- Advanced Graph Theory Research 17
-
- Evacuation and Crowd Dynamics 8
-
- Game Theory and Voting Systems 8
- Co-authors
- Andreas S. SchulzLisa FleischerMichel X. GoemansGerhard J. WoegingerMarc UetzEkkehard KöhlerHan HoogeveenMaurice Queyranne
- Journals
- Mathematics of Operations Research (9 papers)SIAM Journal on Computing (7 papers)Algorithmica (6 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Martin Skutella
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Industrial and Manufacturing Engineering 816
- Computer Networks and Communications 899
- Transportation 239
- Computational Theory and Mathematics 360
- Management Science and Operations Research 267
Countries citing papers authored by Martin Skutella
This map shows the geographic impact of Martin Skutella'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 Martin Skutella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Skutella more than expected).
Fields of papers citing papers by Martin Skutella
This network shows the impact of papers produced by Martin Skutella. 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 Martin Skutella. The network helps show where Martin Skutella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Skutella, 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 | 2023 | 0 | |
| 2 | Towards Lower Bounds on the Depth of ReLU Neural Networks | 2021 | 2 |
| 3 | 2020 | 11 | |
| 4 | 2018 | 16 | |
| 5 | 2018 | 21 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 2 | |
| 8 | S. Aureli Augustini Confessionum libri XIII | 2009 | 0 |
| 9 | 2008 | 1 | |
| 10 | 2008 | 12 | |
| 11 | 2007 | 67 | |
| 12 | 2006 | 3 | |
| 13 | 2004 | 3 | |
| 14 | 2002 | 13 | |
| 15 | 2002 | 13 | |
| 16 | 2002 | 9 | |
| 17 | The k-Splittable Flow Problem | 2002 | 4 |
| 18 | 2001 | 19 | |
| 19 | 2000 | 1 | |
| 20 | 1997 | 6 |
About Martin Skutella
Martin Skutella is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Optimization and Search Problems (43 papers), Complexity and Algorithms in Graphs (30 papers), Scheduling and Optimization Algorithms (23 papers), Advanced Graph Theory Research (17 papers), Transportation Planning and Optimization (13 papers), Optimization and Packing Problems (12 papers), Evacuation and Crowd Dynamics (8 papers) and Game Theory and Voting Systems (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (816 citations), Computer Networks and Communications (899 citations) and Transportation (239 citations). Martin Skutella has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Andreas S. Schulz, Lisa Fleischer, Michel X. Goemans, Gerhard J. Woeginger, Marc Uetz, Ekkehard Köhler, Han Hoogeveen, Maurice Queyranne, Alex Hall and Rolf H. Möhring. Their work appears in journals such as Mathematics of Operations Research, SIAM Journal on Computing, Algorithmica, Operations Research Letters and Mathematical Programming.
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.