Rainer Göb

1.0k total citations
33 papers, 648 citations indexed

About

Rainer Göb is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Rainer Göb has authored 33 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics, Probability and Uncertainty, 11 papers in Management Science and Operations Research and 7 papers in Statistics and Probability. Recurrent topics in Rainer Göb's work include Advanced Statistical Process Monitoring (13 papers), Forecasting Techniques and Applications (8 papers) and Fault Detection and Control Systems (4 papers). Rainer Göb is often cited by papers focused on Advanced Statistical Process Monitoring (13 papers), Forecasting Techniques and Applications (8 papers) and Fault Detection and Control Systems (4 papers). Rainer Göb collaborates with scholars based in Germany, Italy and United States. Rainer Göb's co-authors include Antonio Pievatolo, M. F. Ramalhoto, Sajid Ali, Xavier Tort‐Martorell, Marco S. Reis, Giuseppe Manco, Shirley Coleman, Christian Weiß, Robert Blackburn and Inga‐Lena Darkow and has published in prestigious journals such as Computational Statistics & Data Analysis, Quality & Quantity and Journal of Forecasting.

In The Last Decade

Rainer Göb

31 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rainer Göb Germany 11 147 146 143 87 68 33 648
Tsung‐Shin Hsu Taiwan 9 97 0.7× 77 0.5× 136 1.0× 74 0.9× 107 1.6× 16 517
Joan M. Donohue United States 13 55 0.4× 101 0.7× 185 1.3× 38 0.4× 93 1.4× 37 630
XinYing Chew Malaysia 17 175 1.2× 36 0.2× 73 0.5× 98 1.1× 69 1.0× 77 727
Thomas M. Margavio United States 10 90 0.6× 74 0.5× 160 1.1× 52 0.6× 19 0.3× 19 556
Sigifredo Laengle Chile 12 54 0.4× 117 0.8× 97 0.7× 19 0.2× 152 2.2× 26 666
John F. Kros United States 13 46 0.3× 217 1.5× 85 0.6× 24 0.3× 214 3.1× 54 640
Gah‐Yi Ban United Kingdom 6 50 0.3× 280 1.9× 427 3.0× 36 0.4× 48 0.7× 9 693
Min-Chun Yu Taiwan 13 57 0.4× 204 1.4× 194 1.4× 13 0.1× 178 2.6× 24 642
Tiru Arthanari New Zealand 15 26 0.2× 173 1.2× 112 0.8× 99 1.1× 201 3.0× 44 806
Robert L. Armacost United States 17 31 0.2× 80 0.5× 309 2.2× 39 0.4× 115 1.7× 49 912

Countries citing papers authored by Rainer Göb

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Göb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Göb

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Göb. A scholar is included among the top collaborators of Rainer Göb 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 Rainer Göb. Rainer Göb 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.
Weiß, Christian, et al.. (2021). Analysis and Forecasting of Risk in Count Processes. Journal of risk and financial management. 14(4). 182–182. 2 indexed citations
2.
Weiß, Christian, et al.. (2021). Efficient accounting for estimation uncertainty in coherent forecasting of count processes. Journal of Applied Statistics. 49(8). 1957–1978. 3 indexed citations
3.
Weiß, Christian, et al.. (2020). A performance analysis of prediction intervals for count time series. Journal of Forecasting. 40(4). 603–625. 9 indexed citations
4.
Weiß, Christian, et al.. (2019). Evaluating Approximate Point Forecasting of Count Processes. Econometrics. 7(3). 30–30. 14 indexed citations
5.
Göb, Rainer, et al.. (2018). Failure prediction with reporting delay. Quality and Reliability Engineering International. 34(7). 1329–1338. 1 indexed citations
6.
Ali, Sajid, Antonio Pievatolo, & Rainer Göb. (2016). An Overview of Control Charts for High‐quality Processes. Quality and Reliability Engineering International. 32(7). 2171–2189. 108 indexed citations
7.
Coleman, Shirley, Rainer Göb, Giuseppe Manco, et al.. (2016). How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Quality and Reliability Engineering International. 32(6). 2151–2164. 150 indexed citations
8.
Göb, Rainer, et al.. (2014). More Accurate Prediction Intervals for Exponential Smoothing with Covariates with Applications in Electrical Load Forecasting and Sales Forecasting. Quality and Reliability Engineering International. 31(4). 669–682. 8 indexed citations
9.
Blackburn, Robert, et al.. (2014). A predictive analytics approach for demand forecasting in the process industry. International Transactions in Operational Research. 22(3). 407–428. 47 indexed citations
10.
Göb, Rainer, et al.. (2012). Sampling for Nonconformities and Other Issues in the Forthcoming Revision of ISO 2859‐2. Quality and Reliability Engineering International. 28(5). 546–562. 2 indexed citations
11.
Göb, Rainer. (2007). Data Conformance Testing by Digital Analysis – A Critical Review and an Approach to More Appropriate Testing. Quality Engineering. 19(4). 281–297. 3 indexed citations
12.
Göb, Rainer, M. F. Ramalhoto, & Antonio Pievatolo. (2006). Variable Sampling Intervals in Shewhart Charts Based on Stochastic Failure Time Modelling. Quality Technology & Quantitative Management. 3(3). 361–381. 4 indexed citations
13.
Göb, Rainer. (2006). Data Mining and Statistical Control - A Review and Some Links. Physica-Verlag eBooks. 285–308. 6 indexed citations
14.
Göb, Rainer, et al.. (2001). RUN LENGTH COMPARISONS OF SHEWHART CHARTS AND MOST POWERFUL TEST CHARTS FOR THE DETECTION OF TRENDS AND SHIFTS. Communications in Statistics - Simulation and Computation. 30(2). 355–376. 6 indexed citations
15.
Göb, Rainer. (1996). An elementary model for statistical lot inspection and its application to sampling by variables. Metrika. 44(1). 135–163. 7 indexed citations
16.
Göb, Rainer. (1996). Tests of significance for the mean of a finite lot. Metrika. 44(1). 223–238. 3 indexed citations
17.
Göb, Rainer. (1994). Bounds for median and 50 percetage point of binomial and negative binomial distribution. Metrika. 41(1). 43–54. 8 indexed citations
18.
Göb, Rainer. (1992). TypeA operating characteristic functions of defects sampling plans. Metrika. 39(1). 139–153. 4 indexed citations
19.
Kuball, Hans‐Georg, et al.. (1969). Die Dispersion des Kerr-Effektes. V.. Zeitschrift für Naturforschung A. 24(9). 1391–1400. 3 indexed citations
20.
Göb, Rainer, et al.. (1967). Untersuchungen zur molaren Kerr-Konstante. Zeitschrift für Naturforschung A. 22(5). 737–745. 5 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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