Marco Burkschat

848 total citations
32 papers, 610 citations indexed

About

Marco Burkschat is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Marco Burkschat has authored 32 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 23 papers in Statistics, Probability and Uncertainty and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Marco Burkschat's work include Statistical Distribution Estimation and Applications (30 papers), Probabilistic and Robust Engineering Design (23 papers) and Reliability and Maintenance Optimization (14 papers). Marco Burkschat is often cited by papers focused on Statistical Distribution Estimation and Applications (30 papers), Probabilistic and Robust Engineering Design (23 papers) and Reliability and Maintenance Optimization (14 papers). Marco Burkschat collaborates with scholars based in Germany, Spain and Poland. Marco Burkschat's co-authors include Erhard Cramer, Udo Kamps, Jorge Navarro, N. Balakrishnan, Glenn Hofmann, Nuria Torrado, Maria Kateri, Tomasz Rychlik, Huaihou Chen and Taizhong Hu and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Applied Mathematical Modelling and Computational Statistics & Data Analysis.

In The Last Decade

Marco Burkschat

32 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Burkschat Germany 16 588 437 200 93 83 32 610
M. M. Mohie El-Din Egypt 14 509 0.9× 336 0.8× 177 0.9× 102 1.1× 96 1.2× 67 554
Magne V. Aarset Norway 3 574 1.0× 431 1.0× 165 0.8× 107 1.2× 50 0.6× 4 621
Indranil Ghosh United States 14 637 1.1× 377 0.9× 84 0.4× 148 1.6× 91 1.1× 88 712
Abdullah M. Almarashi Saudi Arabia 14 399 0.7× 260 0.6× 84 0.4× 87 0.9× 58 0.7× 55 468
Çoşkun Kuş Türkiye 10 558 0.9× 381 0.9× 161 0.8× 111 1.2× 66 0.8× 37 612
Bander Al-Zahrani Saudi Arabia 13 527 0.9× 300 0.7× 102 0.5× 103 1.1× 62 0.7× 44 564
Faton Merovcı Kosovo 16 826 1.4× 508 1.2× 150 0.8× 205 2.2× 97 1.2× 39 914
Giovana O. Silva Brazil 10 602 1.0× 389 0.9× 121 0.6× 136 1.5× 53 0.6× 17 643
Hisham M. Almongy Egypt 15 466 0.8× 263 0.6× 96 0.5× 81 0.9× 67 0.8× 27 508
Abdulhakim A. Al-Babtain Saudi Arabia 11 413 0.7× 207 0.5× 61 0.3× 86 0.9× 70 0.8× 31 438

Countries citing papers authored by Marco Burkschat

Since Specialization
Citations

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

Fields of papers citing papers by Marco Burkschat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Burkschat

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Burkschat. A scholar is included among the top collaborators of Marco Burkschat 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 Marco Burkschat. Marco Burkschat 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.
Burkschat, Marco, et al.. (2020). Representations of component importance for coherent systems with exchangeable components. Journal of Applied Probability. 57(2). 385–406. 2 indexed citations
2.
Burkschat, Marco, et al.. (2019). Comparisons of the Expectations of System and Component Lifetimes in the Failure Dependent Proportional Hazard Model. Methodology And Computing In Applied Probability. 22(1). 173–189. 5 indexed citations
3.
Burkschat, Marco, et al.. (2018). Conditions on unimodality and logconcavity for densities of coherent systems with an application to Bernstein operators. Journal of Mathematical Analysis and Applications. 467(2). 863–873. 2 indexed citations
4.
Burkschat, Marco, et al.. (2018). On total positivity of exchangeable random variables obtained by symmetrization, with applications to failure-dependent lifetimes. Journal of Multivariate Analysis. 169. 95–109. 2 indexed citations
5.
Burkschat, Marco & Jorge Navarro. (2017). STOCHASTIC COMPARISONS OF SYSTEMS BASED ON SEQUENTIAL ORDER STATISTICS VIA PROPERTIES OF DISTORTED DISTRIBUTIONS. Probability in the Engineering and Informational Sciences. 32(2). 246–274. 20 indexed citations
6.
Burkschat, Marco, et al.. (2016). Type-I censored sequential k-out-of-n systems. Applied Mathematical Modelling. 40(19-20). 8156–8174. 19 indexed citations
7.
Burkschat, Marco, et al.. (2015). Inference in a model of successive failures with shape-adjusted hazard rates. Annals of the Institute of Statistical Mathematics. 68(3). 639–657. 7 indexed citations
8.
Burkschat, Marco & Nuria Torrado. (2013). On the reversed hazard rate of sequential order statistics. Statistics & Probability Letters. 85. 106–113. 15 indexed citations
9.
Burkschat, Marco & Jorge Navarro. (2013). Dynamic Signatures of Coherent Systems Based on Sequential Order Statistics. Journal of Applied Probability. 50(1). 272–287. 12 indexed citations
10.
Burkschat, Marco & Erhard Cramer. (2011). Fisher information in generalized order statistics. Statistics. 46(6). 719–743. 9 indexed citations
11.
Burkschat, Marco, Udo Kamps, & Maria Kateri. (2010). Sequential order statistics with an order statistics prior. Journal of Multivariate Analysis. 101(8). 1826–1836. 18 indexed citations
12.
Burkschat, Marco. (2009). Systems with Failure-Dependent Lifetimes of Components. Journal of Applied Probability. 46(4). 1052–1072. 29 indexed citations
13.
Burkschat, Marco. (2009). Linear Estimators and Predictors Based on Generalized Order Statistics from Generalized Pareto Distributions. Communication in Statistics- Theory and Methods. 39(2). 311–326. 22 indexed citations
14.
Burkschat, Marco. (2008). On optimal linear equivariant estimation under progressive censoring. Statistics. 42(5). 383–392. 3 indexed citations
15.
Burkschat, Marco. (2008). Multivariate dependence of spacings of generalized order statistics. Journal of Multivariate Analysis. 100(6). 1093–1106. 18 indexed citations
16.
Balakrishnan, N., Marco Burkschat, Erhard Cramer, & Glenn Hofmann. (2008). Fisher information based progressive censoring plans. Computational Statistics & Data Analysis. 53(2). 366–380. 51 indexed citations
17.
Burkschat, Marco, et al.. (2008). Dependence Structure of Spacings of Order Statistics. Communication in Statistics- Theory and Methods. 37(15). 2390–2403. 2 indexed citations
18.
Burkschat, Marco, Erhard Cramer, & Udo Kamps. (2007). Optimality Criteria and Optimal Schemes in Progressive Censoring. Communication in Statistics- Theory and Methods. 36(7). 1419–1431. 32 indexed citations
19.
Burkschat, Marco, Erhard Cramer, & Udo Kamps. (2005). On optimal schemes in progressive censoring. Statistics & Probability Letters. 76(10). 1032–1036. 50 indexed citations
20.
Burkschat, Marco, Erhard Cramer, & Udo Kamps. (2003). Dual generalized order statistics. METRON. 13–26. 85 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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