Pavle Kecman

613 total citations
16 papers, 482 citations indexed

About

Pavle Kecman is a scholar working on Industrial and Manufacturing Engineering, Transportation and Mechanical Engineering. According to data from OpenAlex, Pavle Kecman has authored 16 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 9 papers in Transportation and 7 papers in Mechanical Engineering. Recurrent topics in Pavle Kecman's work include Railway Systems and Energy Efficiency (12 papers), Transportation Planning and Optimization (9 papers) and Railway Engineering and Dynamics (7 papers). Pavle Kecman is often cited by papers focused on Railway Systems and Energy Efficiency (12 papers), Transportation Planning and Optimization (9 papers) and Railway Engineering and Dynamics (7 papers). Pavle Kecman collaborates with scholars based in Netherlands, Sweden and Serbia. Pavle Kecman's co-authors include Rob M.P. Goverde, Francesco Corman, Andrea D’Ariano, Nebojša Bojović, Lingyun Meng and Anders Peterson and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Pavle Kecman

15 papers receiving 460 citations

Peers

Pavle Kecman
Zhiyuan Lin United Kingdom
A. Lova Spain
Pavle Kecman
Citations per year, relative to Pavle Kecman Pavle Kecman (= 1×) peers Zhongcan Li

Countries citing papers authored by Pavle Kecman

Since Specialization
Citations

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

Fields of papers citing papers by Pavle Kecman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavle Kecman

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

All Works

16 of 16 papers shown
1.
Corman, Francesco & Pavle Kecman. (2018). Stochastic prediction of train delays in real-time using Bayesian networks. Transportation Research Part C Emerging Technologies. 95. 599–615. 114 indexed citations
2.
Kecman, Pavle, et al.. (2016). Optimal allocation of buffer times to increase train schedule robustness. European Journal of Operational Research. 256(1). 44–54. 45 indexed citations
3.
Meng, Lingyun, et al.. (2015). Modeling delay relations based on mining historical train monitoring data: a Chinese railway case. 4 indexed citations
4.
Kecman, Pavle & Rob M.P. Goverde. (2015). Predictive modelling of running and dwell times in railway traffic. Public Transport. 7(3). 295–319. 93 indexed citations
5.
Kecman, Pavle, et al.. (2015). Stochastic prediction of train delays in real-time using Bayesian networks. Repository for Publications and Research Data (ETH Zurich). 8 indexed citations
6.
Kecman, Pavle, Francesco Corman, & Lingyun Meng. (2015). Train delay evolution as a stochastic process. Repository for Publications and Research Data (ETH Zurich). 17 indexed citations
7.
Kecman, Pavle. (2014). Models for Predictive Railway Traffic Management. Research Repository (Delft University of Technology). 6 indexed citations
8.
Kecman, Pavle & Rob M.P. Goverde. (2014). Online Data-Driven Adaptive Prediction of Train Event Times. IEEE Transactions on Intelligent Transportation Systems. 16(1). 465–474. 70 indexed citations
9.
Kecman, Pavle, Francesco Corman, Andrea D’Ariano, & Rob M.P. Goverde. (2013). Rescheduling models for railway traffic management in large-scale networks. Public Transport. 5(1-2). 95–123. 72 indexed citations
10.
Kecman, Pavle & Rob M.P. Goverde. (2013). Adaptive, data-driven, online prediction of train event times. 83. 803–808. 4 indexed citations
11.
Kecman, Pavle & Rob M.P. Goverde. (2013). An online railway traffic prediction model. Research Repository (Delft University of Technology). 6 indexed citations
12.
Kecman, Pavle & Rob M.P. Goverde. (2012). Process Mining Approach for Recovery of Realized Train Paths and Route Conflict Identification. Data Archiving and Networked Services (DANS). 3 indexed citations
13.
Kecman, Pavle & Rob M.P. Goverde. (2012). Process mining of train describer event data and automatic conflict identification. WIT transactions on the built environment. 1. 227–238. 35 indexed citations
14.
Kecman, Pavle, Francesco Corman, Andrea D’Ariano, & Rob M.P. Goverde. (2012). Rescheduling models for network-wide railway traffic management. Research Repository (Delft University of Technology). 0–0. 4 indexed citations
15.
Kecman, Pavle, et al.. (2011). Train describer records as a source of information for infrastructure monitoring, performance analysis and traffic management. Research Repository (Delft University of Technology). 6B1–6B1.
16.
Kecman, Pavle, et al.. (2010). Evaluating and ranking infrastructure manager strategies using the combined AHP/DEA method. Digitalni Knihovna (Univerzita Pardubice). 1 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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