Keld Helsgaun
- Industrial and Manufacturing Engineering top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Éric D. TaillardWilliam J. CookVašek ChvátalRobert E. BixbyMarcos GoycooleaDavid ApplegateStephan HeldStefan Hougardy
- Topics
- Vehicle Routing Optimization Methods (8 papers)Data Management and Algorithms (3 papers)Robotic Path Planning Algorithms (3 papers)
In The Last Decade
Keld Helsgaun
10 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Industrial and Manufacturing Engineering 934
- Artificial Intelligence 570
- Computer Vision and Pattern Recognition 399
- Computer Networks and Communications 240
- Computational Theory and Mathematics 216
Countries citing papers authored by Keld Helsgaun
This map shows the geographic impact of Keld Helsgaun'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 Keld Helsgaun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keld Helsgaun more than expected).
Fields of papers citing papers by Keld Helsgaun
This network shows the impact of papers produced by Keld Helsgaun. 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 Keld Helsgaun. The network helps show where Keld Helsgaun may publish in the future.
Co-authorship network of co-authors of Keld Helsgaun
This figure shows the co-authorship network connecting the top 25 collaborators of Keld Helsgaun. A scholar is included among the top collaborators of Keld Helsgaun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keld Helsgaun. Keld Helsgaun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | Local Search with Learned Constraints for Last Mile Routing | 1 |
| 4 | 54 | |
| 5 | 83 | |
| 6 | 255 | |
| 7 | 87 | |
| 8 | An effective implementation of the Lin–Kernighan traveling salesman heuristicbreakdown → | 1045 |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 9 |
About Keld Helsgaun
Keld Helsgaun is a scholar working on Industrial and Manufacturing Engineering, Signal Processing and Management Science and Operations Research, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (8 papers), Data Management and Algorithms (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (934 citations), Computer Vision and Pattern Recognition (399 citations) and Artificial Intelligence (570 citations). Keld Helsgaun has collaborated with scholars based in Denmark, Canada and Germany. Frequent co-authors include Éric D. Taillard, William J. Cook, Vašek Chvátal, Robert E. Bixby, Marcos Goycoolea, David Applegate, Stephan Held and Stefan Hougardy. Their work appears in journals such as European Journal of Operational Research, Transportation Science and The Computer Journal.
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.