Udo Kamps

3.7k total citations
112 papers, 2.4k citations indexed

About

Udo Kamps is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Udo Kamps has authored 112 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Statistics and Probability, 54 papers in Statistics, Probability and Uncertainty and 22 papers in Management Science and Operations Research. Recurrent topics in Udo Kamps's work include Statistical Distribution Estimation and Applications (80 papers), Probabilistic and Robust Engineering Design (49 papers) and Statistical Methods and Bayesian Inference (20 papers). Udo Kamps is often cited by papers focused on Statistical Distribution Estimation and Applications (80 papers), Probabilistic and Robust Engineering Design (49 papers) and Statistical Methods and Bayesian Inference (20 papers). Udo Kamps collaborates with scholars based in Germany, Canada and Greece. Udo Kamps's co-authors include Erhard Cramer, N. Balakrishnan, Marco Burkschat, Eric Beutner, Maria Kateri, Tomasz Rychlik, Ursula Gather, Christian Schmitz, Wolfgang Bleck and Lutz Mattner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Biometrika.

In The Last Decade

Udo Kamps

98 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Udo Kamps Germany 23 2.2k 1.6k 490 381 369 112 2.4k
Erhard Cramer Germany 25 2.5k 1.1× 1.7k 1.1× 531 1.1× 483 1.3× 394 1.1× 116 2.6k
Sanku Dey India 28 2.1k 1.0× 1.5k 0.9× 503 1.0× 360 0.9× 313 0.8× 130 2.4k
Ehab M. Almetwally Egypt 26 2.2k 1.0× 1.2k 0.7× 375 0.8× 448 1.2× 329 0.9× 222 2.4k
Artur J. Lemonte Brazil 27 2.0k 0.9× 1.0k 0.6× 340 0.7× 346 0.9× 182 0.5× 114 2.2k
Ahmed Z. Afify Egypt 33 2.6k 1.2× 1.5k 0.9× 381 0.8× 635 1.7× 380 1.0× 148 2.8k
Hassan S. Bakouch Egypt 19 1.4k 0.6× 700 0.4× 182 0.4× 270 0.7× 223 0.6× 154 1.7k
Ibrahim Elbatal Saudi Arabia 22 1.5k 0.7× 881 0.5× 204 0.4× 390 1.0× 230 0.6× 145 1.6k
Ammar M. Sarhan Egypt 19 1.0k 0.5× 780 0.5× 547 1.1× 117 0.3× 105 0.3× 74 1.3k
N. Balakrishnan Canada 8 1.5k 0.7× 1.2k 0.7× 407 0.8× 333 0.9× 217 0.6× 18 1.6k
D. K. Al-Mutairi Kuwait 13 987 0.4× 668 0.4× 261 0.5× 167 0.4× 110 0.3× 38 1.1k

Countries citing papers authored by Udo Kamps

Since Specialization
Citations

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

Fields of papers citing papers by Udo Kamps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udo Kamps

This figure shows the co-authorship network connecting the top 25 collaborators of Udo Kamps. A scholar is included among the top collaborators of Udo Kamps 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 Udo Kamps. Udo Kamps 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.
Kamps, Udo, et al.. (2024). Prediction intervals for future Pareto record claims. European Actuarial Journal. 15(1). 163–197.
2.
Schmitz, Christian, Udo Kamps, & Maria Kateri. (2023). A longitudinal degradation set‐up for calendar aging of lithium‐ion batteries in view of sparse experimental data. Applied Stochastic Models in Business and Industry. 40(3). 710–724. 1 indexed citations
3.
Kamps, Udo, et al.. (2023). A record-values property of a renewal process with random inspection time. Statistics & Probability Letters. 195. 109785–109785.
4.
Kamps, Udo, et al.. (2023). On the existence of maximum likelihood estimates for the parameters of the Conway-Maxwell-Poisson distribution. Latin American Journal of Probability and Mathematical Statistics. 20(1). 561–561. 2 indexed citations
5.
Kamps, Udo, et al.. (2018). Inference from multiple samples of Weibull sequential order statistics. Journal of Multivariate Analysis. 169. 381–399. 6 indexed citations
6.
Kamps, Udo, et al.. (2016). Classification into Kullback–Leibler balls in exponential families. Journal of Multivariate Analysis. 150. 75–90. 2 indexed citations
7.
Cramer, Erhard, et al.. (2015). Classification and Discrimination in Models for Ordered Data. RWTH Publications (RWTH Aachen). 2 indexed citations
8.
Vajragupta, Napat, Udo Kamps, Wolfgang Bleck, & Alexander Hartmaier. (2015). The artificial microstructure model and its applications on plasticity and damage of the dual phase steel. RWTH Publications (RWTH Aachen). 1 indexed citations
9.
Kamps, Udo, et al.. (2014). Meta-analysis of general step-stress experiments under repeated Type-II censoring. Applied Mathematical Modelling. 39(8). 2261–2275. 12 indexed citations
10.
Kamps, Udo, et al.. (2011). Models of ordered random variables and exponential families. RWTH Publications (RWTH Aachen). 2 indexed citations
11.
Balakrishnan, N., Eric Beutner, & Udo Kamps. (2008). Order restricted inference for sequential k-out-of-n systems. Journal of Multivariate Analysis. 99(7). 1489–1502. 43 indexed citations
12.
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
13.
Balakrishnan, N., Erhard Cramer, & Udo Kamps. (2005). Relation for joint densities of progressively censored order statistics. Statistics. 39(6). 529–536. 3 indexed citations
14.
Cramer, Erhard, et al.. (2004). Characterizations via Linear Regression of Ordered Random Variables: A Unifying Approach. Communication in Statistics- Theory and Methods. 33(12). 2885–2911. 19 indexed citations
15.
Burkschat, Marco, Erhard Cramer, & Udo Kamps. (2003). Dual generalized order statistics. METRON. 13–26. 85 indexed citations
16.
Kamps, Udo. (1998). Subranges of generalized order statistics from exponential distributions. RWTH Publications (RWTH Aachen). 63–70. 2 indexed citations
17.
Kamps, Udo. (1998). On a class of premium principles including the Esscher principle. Scandinavian Actuarial Journal. 1998(1). 75–80. 29 indexed citations
18.
Kamps, Udo. (1996). On a renewal process average. Stochastic Processes and their Applications. 62(2). 347–349. 1 indexed citations
19.
Kamps, Udo. (1994). Reliability properties of record values from non-identically distributed random variables. Communication in Statistics- Theory and Methods. 23(7). 2101–2112. 17 indexed citations
20.
Kamps, Udo. (1990). Relative efficiency of estimates and the use of Chebyshev polynomials in a model of pairwise overlapping samples. Linear Algebra and its Applications. 127. 641–653. 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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