The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Resource Constrained Shortest Paths
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“knowing that the resource-constrained shortest path problem is NP-hard even with one resource (Mehlhorn and Ziegelmann, 2000).”
From Scheduling multiple agile Earth observation satellites with multiple observations (2026) · cites this paper as Mehlhorn and Ziegelmann, 2000
In the citing paper
“The worst-case complexity of Algorithm 1 is exponential”
From Scheduling multiple agile Earth observation satellites with multiple observations (2026) · cites this paper as Mehlhorn and Ziegelmann, 2000
Citations
Cites
Eppstein, D. (1998) · SIAM Journal on Computing · doi:10.1137/s0097539795290477 · Cited by 1,381
The LEDA platform for combinatorial and geometric computing
Mehlhorn, K., Näher, S., & Uhrig, C. (1997) · Lecture Notes in Computer Science · doi:10.1007/3-540-63165-8_161 · Cited by 1,199
Self-citationApproximation Schemes for the Restricted Shortest Path Problem
Hassin, R. (1992) · Mathematics of Operations Research · doi:10.1287/moor.17.1.36 · Cited by 557
Hansen, P. (1980) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-48782-8_9 · Cited by 525
A dual algorithm for the constrained shortest path problem
Handler, G. Y., & Zang, I. (1980) · Networks · doi:10.1002/net.3230100403 · Cited by 457
Approximation of Pareto Optima in Multiple-Objective, Shortest-Path Problems
Warburton, A. R. (1987) · Operations Research · doi:10.1287/opre.35.1.70 · Cited by 328
An algorithm for the resource constrained shortest path problem
Beasley, J. E., & Christofides, N. (1989) · Networks · doi:10.1002/net.3230190402 · Cited by 327
Cook, W. J., Cunningham, W. H., Pulleyblank, W. R., & Schrijver, A. (1997) · Wiley eBooks · doi:10.1002/9781118033142 · Cited by 272
The network inhibition problem
Phillips, C. A. (1993) · Proceedings of the twenty-fifth annual ACM symposium on Theory of computing - STOC '93 · doi:10.1145/167088.167286 · Cited by 236
The shortest route problem with constraints
Joksch, H. C. (1966) · Journal of Mathematical Analysis and Applications · doi:10.1016/0022-247x(66)90020-5 · Cited by 214
Research works printed but not linked: 1
- V. Jiminez and A. Marzal. Computing the k shortest paths. A new algorithm and an experimental comparison. In Proc. 3rd Workshop on Algorithm Engineering (WAE99), LNCS 1668, pages 25–29, 1999.
Cited by
Selected Topics in Column Generation
Lübbecke, M. E., & Desrosiers, J. (2005) · Operations Research · doi:10.1287/opre.1050.0234 · Cited by 1,102
Righini, G., & Salani, M. (2006) · Discrete Optimization · doi:10.1016/j.disopt.2006.05.007 · Cited by 364
Jia, Z., Sheng, M., Li, J., Niyato, D., & Han, Z. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3021255 · Cited by 271
System-Optimal Routing of Traffic Flows with User Constraints in Networks with Congestion
Jahn, O., Möhring, R. H., Schulz, A. S., & Stier‐Moses, N. E. (2005) · Operations Research · doi:10.1287/opre.1040.0197 · Cited by 267
Dumitrescu, I., & Boland, N. (2003) · Networks · doi:10.1002/net.10090 · Cited by 199
Metadata
- Authors
- Mehlhorn, K., & Ziegelmann, M.
- Affiliations
- Max Planck Society (DE)
- ORCID
- Mehlhorn, Kurt
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2000
- Pages
- 326-337
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1491580860
- Cited by
- 124
- References
- 15
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 8 · 2018: 6 · 2017: 5 · 2016: 6 · 2015: 7 · 2014: 7 · 2013: 7 · 2012: 7
- FWCI
- 1.84
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Untitled Event
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Social Sciences › Decision Sciences › Management Science and Operations Research › Resource-Constrained Project Scheduling
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
- Keywords
- resource constraints, linear programming relaxation, combinatorial algorithms, polynomial-time algorithms, exact algorithms, approximation algorithms, NP-completeness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Resource Constrained Shortest Paths. https://app.cochat.ai/papers/10.1007/3-540-45253-2_30
- The paper
- Mehlhorn, K., & Ziegelmann, M. (2000). Resource Constrained Shortest Paths. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-45253-2_30
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.