M.J. Kallen

1.0k total citations
11 papers, 704 citations indexed

About

M.J. Kallen is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, M.J. Kallen has authored 11 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in M.J. Kallen's work include Concrete Corrosion and Durability (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). M.J. Kallen is often cited by papers focused on Concrete Corrosion and Durability (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). M.J. Kallen collaborates with scholars based in Netherlands, Canada and United States. M.J. Kallen's co-authors include Jan M. van Noortwijk, Dan M. Frangopol, J.A.M. van der Weide, Mahesh D. Pandey and Hannes Mühleisen and has published in prestigious journals such as Journal of Statistical Software, Reliability Engineering & System Safety and International Journal of Pressure Vessels and Piping.

In The Last Decade

M.J. Kallen

11 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.J. Kallen Netherlands 8 381 303 275 119 108 11 704
J.A.M. van der Weide Netherlands 13 303 0.8× 204 0.7× 149 0.5× 124 1.0× 93 0.9× 23 588
Jyh-Bin Ke Taiwan 7 299 0.8× 283 0.9× 299 1.1× 58 0.5× 52 0.5× 8 593
Rui Zheng China 13 389 1.0× 161 0.5× 22 0.1× 82 0.7× 161 1.5× 40 510
Babakalli Alkali United Kingdom 12 192 0.5× 109 0.4× 33 0.1× 30 0.3× 39 0.4× 48 492
M.D. Berrade Spain 14 567 1.5× 248 0.8× 19 0.1× 201 1.7× 278 2.6× 25 650
Fangfang Ding Canada 6 390 1.0× 87 0.3× 57 0.2× 28 0.2× 51 0.5× 7 557
Darko Louit Chile 7 198 0.5× 91 0.3× 23 0.1× 44 0.4× 35 0.3× 10 299
Dhananjay Kumar India 11 254 0.7× 164 0.5× 29 0.1× 117 1.0× 64 0.6× 44 551
Yiming Chen China 9 305 0.8× 105 0.3× 26 0.1× 32 0.3× 156 1.4× 21 431

Countries citing papers authored by M.J. Kallen

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Kallen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Kallen. 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 M.J. Kallen. The network helps show where M.J. Kallen may publish in the future.

Co-authorship network of co-authors of M.J. Kallen

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

All Works

11 of 11 papers shown
1.
Mühleisen, Hannes, et al.. (2018). Database-Inspired Optimizations for Statistical Analysis. Journal of Statistical Software. 87(4). 3 indexed citations
2.
Kallen, M.J.. (2011). On the use of uniformization to estimate transition probabilities in categorical condition data. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 225(2). 233–239. 2 indexed citations
3.
Kallen, M.J., et al.. (2011). Uncertainty in optimal decisions for dike maintenance. Structure and Infrastructure Engineering. 8(4). 317–327. 4 indexed citations
4.
Kallen, M.J.. (2010). Modelling imperfect maintenance and the reliability of complex systems using superposed renewal processes. Reliability Engineering & System Safety. 96(6). 636–641. 25 indexed citations
5.
Kallen, M.J.. (2007). Markov processes for maintenance optimization of civil infrastructure in the Netherlands. Research Repository (Delft University of Technology). 14 indexed citations
6.
Noortwijk, Jan M. van, J.A.M. van der Weide, M.J. Kallen, & Mahesh D. Pandey. (2006). Gamma processes and peaks-over-threshold distributions for time-dependent reliability. Reliability Engineering & System Safety. 92(12). 1651–1658. 170 indexed citations
7.
Kallen, M.J. & Jan M. van Noortwijk. (2006). Optimal periodic inspection of a deterioration process with sequential condition states. International Journal of Pressure Vessels and Piping. 83(4). 249–255. 30 indexed citations
8.
Kallen, M.J. & Jan M. van Noortwijk. (2004). Optimal maintenance decisions under imperfect inspection. Reliability Engineering & System Safety. 90(2-3). 177–185. 168 indexed citations
9.
Frangopol, Dan M., M.J. Kallen, & Jan M. van Noortwijk. (2004). Probabilistic models for life‐cycle performance of deteriorating structures: review and future directions. Progress in Structural Engineering and Materials. 6(4). 197–212. 271 indexed citations
10.
Kallen, M.J.. (2002). Risk Based Inspection in the Process and Refining Industry. 8 indexed citations
11.
Kallen, M.J.. (2002). EXPERT AGGREGATION WITH DEPENDENCE. 9 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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