Gábor Maróti

1.9k total citations
37 papers, 1.1k citations indexed

About

Gábor Maróti is a scholar working on Industrial and Manufacturing Engineering, Transportation and Automotive Engineering. According to data from OpenAlex, Gábor Maróti has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Industrial and Manufacturing Engineering, 25 papers in Transportation and 12 papers in Automotive Engineering. Recurrent topics in Gábor Maróti's work include Transportation Planning and Optimization (25 papers), Railway Systems and Energy Efficiency (17 papers) and Vehicle Routing Optimization Methods (13 papers). Gábor Maróti is often cited by papers focused on Transportation Planning and Optimization (25 papers), Railway Systems and Energy Efficiency (17 papers) and Vehicle Routing Optimization Methods (13 papers). Gábor Maróti collaborates with scholars based in Netherlands, Italy and Denmark. Gábor Maróti's co-authors include Leo Kroon, Luís Cadarso, Ángel Marı́n, Alexander Schrijver, Pieter‐Jan Fioole, Evelien van der Hurk, Lucas P. Veelenturf, Dennis Huisman, Alberto Caprara and Laura Galli and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Gábor Maróti

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gábor Maróti Netherlands 15 809 761 300 223 171 37 1.1k
Xiaoning Zhu China 20 923 1.1× 694 0.9× 252 0.8× 206 0.9× 332 1.9× 85 1.2k
Paola Pellegrini France 18 886 1.1× 605 0.8× 435 1.4× 124 0.6× 114 0.7× 71 1.3k
Joris Wagenaar Netherlands 9 800 1.0× 593 0.8× 433 1.4× 95 0.4× 92 0.5× 22 906
Ángel Marı́n Spain 23 658 0.8× 926 1.2× 184 0.6× 357 1.6× 215 1.3× 63 1.4k
Lingyun Meng China 19 1.3k 1.6× 1.1k 1.4× 825 2.8× 170 0.8× 210 1.2× 74 1.6k
Ingo A. Hansen Netherlands 18 1.0k 1.3× 823 1.1× 623 2.1× 80 0.4× 230 1.3× 45 1.2k
Masoud Yaghini Iran 17 535 0.7× 340 0.4× 221 0.7× 65 0.3× 179 1.0× 53 845
Joaquín Rodríguez France 19 957 1.2× 676 0.9× 552 1.8× 78 0.3× 84 0.5× 60 1.3k
Egidio Quaglietta Netherlands 16 796 1.0× 515 0.7× 436 1.5× 115 0.5× 108 0.6× 43 987
Keivan Ghoseiri Iran 13 642 0.8× 305 0.4× 157 0.5× 246 1.1× 194 1.1× 25 937

Countries citing papers authored by Gábor Maróti

Since Specialization
Citations

This map shows the geographic impact of Gábor Maróti'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 Gábor Maróti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Maróti more than expected).

Fields of papers citing papers by Gábor Maróti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gábor Maróti. 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 Gábor Maróti. The network helps show where Gábor Maróti may publish in the future.

Co-authorship network of co-authors of Gábor Maróti

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Maróti. A scholar is included among the top collaborators of Gábor Maróti 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 Gábor Maróti. Gábor Maróti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shabani, Amir, Gábor Maróti, Sander de Leeuw, & Wout Dullaert. (2021). Inventory record inaccuracy and store-level performance. International Journal of Production Economics. 235. 108111–108111. 12 indexed citations
2.
Dollevoet, Twan, et al.. (2021). A Variable Neighborhood Search heuristic for rolling stock rescheduling. EURO Journal on Transportation and Logistics. 10. 100032–100032. 13 indexed citations
3.
Dollevoet, Twan, et al.. (2020). Reducing Passenger Delays by Rolling Stock Rescheduling. Transportation Science. 54(3). 762–784. 1 indexed citations
4.
Dollevoet, Twan, et al.. (2019). A Variable Neighborhood Search Heuristic for Rolling Stock Rescheduling. Data Archiving and Networked Services (DANS).
5.
Hurk, Evelien van der, Leo Kroon, & Gábor Maróti. (2018). Passenger Advice and Rolling Stock Rescheduling Under Uncertainty for Disruption Management. Transportation Science. 52(6). 1391–1411. 37 indexed citations
6.
Veelenturf, Lucas P., Leo Kroon, & Gábor Maróti. (2017). Passenger oriented railway disruption management by adapting timetables and rolling stock schedules. Transportation Research Part C Emerging Technologies. 80. 133–147. 81 indexed citations
7.
Hurk, Evelien van der, Haris N. Koutsopoulos, Nigel H. M. Wilson, Leo Kroon, & Gábor Maróti. (2016). Shuttle Planning for Link Closures in Urban Public Transport Networks. Transportation Science. 50(3). 947–965. 49 indexed citations
8.
Hurk, Evelien van der, Leo Kroon, Gábor Maróti, & Peter Vervest. (2014). Deduction of Passengers' Route Choices From Smart Card Data. IEEE Transactions on Intelligent Transportation Systems. 16(1). 430–440. 48 indexed citations
9.
Veelenturf, Lucas P., et al.. (2013). A Quasi-Robust Optimization Approach for Resource Rescheduling. RePub (Erasmus University, Rotterdam). 1–27. 3 indexed citations
10.
Cacchiani, Valentina, Alberto Caprara, Gábor Maróti, & Paolo Toth. (2012). On integer polytopes with few nonzero vertices. Operations Research Letters. 41(1). 74–77. 9 indexed citations
11.
Cacchiani, Valentina, Alberto Caprara, Laura Galli, et al.. (2011). Railway Rolling Stock Planning: Robustness Against Large Disruptions. Transportation Science. 46(2). 217–232. 70 indexed citations
12.
Maróti, Gábor, et al.. (2009). Disruption Management of Rolling Stock in Passenger Railway Transportation. RePub (Erasmus University Rotterdam). 2 indexed citations
13.
Kroon, Leo, et al.. (2008). Stochastic improvement of cyclic railway timetables. Transportation Research Part B Methodological. 42(6). 553–570. 9 indexed citations
14.
Clausen, Jens, et al.. (2007). Disruption management in passenger railway transportation. RePEc: Research Papers in Economics. 4 indexed citations
15.
Maróti, Gábor, et al.. (2007). Re-scheduling in railways: the rolling stock balancing problem. RePub (Erasmus University, Rotterdam). 3 indexed citations
16.
Maróti, Gábor. (2006). Operations research models for railway rolling stock planning. Data Archiving and Networked Services (DANS). 37 indexed citations
17.
Maróti, Gábor & Leo Kroon. (2005). Maintenance Routing for Train Units: The Transition Model. Transportation Science. 39(4). 518–525. 67 indexed citations
18.
Fioole, Pieter‐Jan, Leo Kroon, Gábor Maróti, & Alexander Schrijver. (2004). A rolling stock circulation model for combining and splitting of passenger trains.. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–32. 2 indexed citations
19.
Maróti, Gábor, et al.. (2004). Maintenance routing for train units: the scenario model. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–24. 5 indexed citations
20.
Maróti, Gábor & Leo Kroon. (2004). Maintenance routing for train units: the transition model. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–20. 2 indexed citations

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.

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