Walter Schön

823 total citations
38 papers, 507 citations indexed

About

Walter Schön is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Software. According to data from OpenAlex, Walter Schön has authored 38 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 16 papers in Safety, Risk, Reliability and Quality and 8 papers in Software. Recurrent topics in Walter Schön's work include Risk and Safety Analysis (25 papers), Reliability and Maintenance Optimization (11 papers) and Software Reliability and Analysis Research (8 papers). Walter Schön is often cited by papers focused on Risk and Safety Analysis (25 papers), Reliability and Maintenance Optimization (11 papers) and Software Reliability and Analysis Research (8 papers). Walter Schön collaborates with scholars based in France, China and Italy. Walter Schön's co-authors include Mohamed Sallak, Siqi Qiu, Benjamin Lussier, Thierry Denœux, Roberto Sacile, Frédéric Vanderhaegen, Gilles Motet, Jérémie Guiochet, Rui Wang and Chiara Bersani and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Reliability Engineering & System Safety.

In The Last Decade

Walter Schön

35 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Schön France 13 265 152 120 88 82 38 507
Mohamed Sallak France 14 289 1.1× 225 1.5× 55 0.5× 79 0.9× 55 0.7× 48 501
Rob Alexander United Kingdom 12 158 0.6× 80 0.5× 120 1.0× 60 0.7× 80 1.0× 37 499
Cody Fleming United States 13 160 0.6× 119 0.8× 117 1.0× 177 2.0× 25 0.3× 50 520
Enno Ruijters Netherlands 5 230 0.9× 181 1.2× 60 0.5× 106 1.2× 55 0.7× 7 534
Ester Ciancamerla Italy 7 607 2.3× 244 1.6× 183 1.5× 199 2.3× 95 1.2× 18 809
Hong-Zhong Huang China 7 241 0.9× 104 0.7× 25 0.2× 126 1.4× 54 0.7× 12 560
Mary Ann Lundteigen Norway 19 634 2.4× 452 3.0× 237 2.0× 143 1.6× 28 0.3× 77 915
Haifeng Wang China 13 54 0.2× 61 0.4× 32 0.3× 120 1.4× 113 1.4× 45 570
Di Zhou China 15 189 0.7× 311 2.0× 33 0.3× 172 2.0× 31 0.4× 43 619
Gunwant Dhadyalla United Kingdom 12 70 0.3× 145 1.0× 33 0.3× 115 1.3× 62 0.8× 36 509

Countries citing papers authored by Walter Schön

Since Specialization
Citations

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

Fields of papers citing papers by Walter Schön

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Schön

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Schön. A scholar is included among the top collaborators of Walter Schön 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 Walter Schön. Walter Schön 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.
Trentesaux, Damien, et al.. (2024). Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance. Journal of Rail Transport Planning & Management. 31. 100453–100453.
2.
Qiu, Siqi, et al.. (2018). An Automated Method for the Study of Human Reliability in Railway Supervision Systems. IEEE Transactions on Intelligent Transportation Systems. 19(10). 3360–3375. 5 indexed citations
3.
Qiu, Siqi, et al.. (2018). Extended LK heuristics for the optimization of linear consecutive-k-out-of-n: F systems considering parametric uncertainty and model uncertainty. Reliability Engineering & System Safety. 175. 51–61. 20 indexed citations
4.
Lussier, Benjamin, et al.. (2018). Fault Tolerant Deep Neural Networks for Detection of Unrecognizable Situations. IFAC-PapersOnLine. 51(24). 31–37. 5 indexed citations
5.
Qiu, Siqi, Mohamed Sallak, Walter Schön, & Xin Ming. (2017). Safe design of consecutive-k-out-of-n systems under uncertainty. IFAC-PapersOnLine. 50(1). 15748–15753. 4 indexed citations
6.
Sallak, Mohamed, et al.. (2017). A Graphical Model Based on Performance Shaping Factors for Assessing Human Reliability. IEEE Transactions on Reliability. 66(4). 1120–1143. 21 indexed citations
7.
Wang, Rui, Jérémie Guiochet, Gilles Motet, & Walter Schön. (2017). Modelling confidence in railway safety case. Safety Science. 110. 286–299. 8 indexed citations
8.
Sallak, Mohamed, et al.. (2016). Estimation of Imprecise Reliability of Systems Using Random Sets and Monte Carlo Resampling Procedures. IEEE Transactions on Systems Man and Cybernetics Systems. 47(11). 2844–2855. 4 indexed citations
9.
Sallak, Mohamed, et al.. (2015). An Efficient Method for Reliability Analysis of Systems Under Epistemic Uncertainty Using Belief Function Theory. IEEE Transactions on Reliability. 64(3). 893–909. 14 indexed citations
10.
11.
Sallak, Mohamed, et al.. (2014). Modeling of ERTMS Level 2 as an SoS and Evaluation of its Dependability Parameters Using Statecharts. IEEE Systems Journal. 8(4). 1169–1181. 12 indexed citations
12.
Qiu, Siqi, et al.. (2014). Availability assessment of railway signalling systems with uncertainty analysis using Statecharts. Simulation Modelling Practice and Theory. 47. 1–18. 13 indexed citations
13.
Qiu, Siqi, Roberto Sacile, Mohamed Sallak, & Walter Schön. (2014). On the application of Valuation-Based Systems in the assessment of the probability bounds of Hazardous Material transportation accidents occurrence. Safety Science. 72. 83–96. 18 indexed citations
14.
Sallak, Mohamed, et al.. (2013). Application of evidential networks in quantitative analysis of railway accidents. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 227(4). 368–384. 3 indexed citations
15.
Schön, Walter, et al.. (2011). Backward reachability of Colored Petri Nets for systems diagnosis. Reliability Engineering & System Safety. 99. 1–14. 7 indexed citations
16.
Schön, Walter, et al.. (2009). Système tolérant aux défauts Synthèse d'une méthode de reconfiguration et/ou restructuration intégrant la fiabilité de certains composants. Journal Européen des Systèmes Automatisés. 43(10). 1149–1178. 2 indexed citations
17.
Schön, Walter, et al.. (2007). Die Reform des Bundesstaates : Beiträge zur Arbeit der Kommission zur Modernisierung der bundesstaatlichen Ordnung 2003/2004 und bis zum Abschluss des Gesetzgebungsverfahrens 2006. Nomos eBooks. 1 indexed citations
18.
Schön, Walter, et al.. (2006). Role of supervision systems in railway safety. WIT transactions on the built environment. 1. 129–138. 6 indexed citations
19.
Schön, Walter, et al.. (2006). Risk assessment based on weak information using belief functions: a case study in water treatment. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 36(3). 382–396. 29 indexed citations
20.
Schön, Walter, et al.. (2004). A new approach to assess risk in water treatment using the belief function framework. 2. 1792–1797. 3 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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