Rudolf Lewandowski

1.8k total citations · 1 hit paper
5 papers, 1.3k citations indexed

About

Rudolf Lewandowski is a scholar working on Management Science and Operations Research, Discrete Mathematics and Combinatorics and Economics and Econometrics. According to data from OpenAlex, Rudolf Lewandowski has authored 5 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Science and Operations Research, 1 paper in Discrete Mathematics and Combinatorics and 1 paper in Economics and Econometrics. Recurrent topics in Rudolf Lewandowski's work include Forecasting Techniques and Applications (3 papers), Modeling, Simulation, and Optimization (1 paper) and Complex Systems and Time Series Analysis (1 paper). Rudolf Lewandowski is often cited by papers focused on Forecasting Techniques and Applications (3 papers), Modeling, Simulation, and Optimization (1 paper) and Complex Systems and Time Series Analysis (1 paper). Rudolf Lewandowski collaborates with scholars based in Australia, Slovakia and United Kingdom. Rudolf Lewandowski's co-authors include Robert F. Carbone, Robert Fildes, Michèle Hibon, A. Andersen, Emanuel Parzen, Spyros Makridakis, Robert L. Winkler, Robert B. Litterman and O. D. Anderson and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Forecasting and Journal of the Royal Statistical Society Series D (The Statistician).

In The Last Decade

Rudolf Lewandowski

5 papers receiving 1.1k citations

Hit Papers

The accuracy of extrapolation (time series) methods: Resu... 1982 2026 1996 2011 1982 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The accuracy of extrapolation (time series) methods: Results of a forecasting competition
    1982 1.1k citations Spyros Makridakis, A. Andersen et al. Journal of Forecasting profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rudolf Lewandowski Australia 5 970 251 206 157 154 5 1.3k
A. Andersen Australia 6 975 1.0× 266 1.1× 223 1.1× 160 1.0× 155 1.0× 7 1.3k
Peter R. Winters United States 5 701 0.7× 184 0.7× 80 0.4× 93 0.6× 257 1.7× 6 1.4k
P. J. Harrison United Kingdom 16 580 0.6× 267 1.1× 167 0.8× 419 2.7× 54 0.4× 35 1.5k
Ed McKenzie United Kingdom 16 643 0.7× 254 1.0× 162 0.8× 797 5.1× 94 0.6× 31 1.7k
Simone D. Grose Australia 5 481 0.5× 137 0.5× 71 0.3× 54 0.3× 174 1.1× 8 740
Enriqueta Vercher Spain 20 853 0.9× 155 0.6× 50 0.2× 329 2.1× 109 0.7× 43 1.3k
Robert G. Brown United States 6 343 0.4× 72 0.3× 53 0.3× 67 0.4× 76 0.5× 16 738
Tae Yoon Kim South Korea 18 463 0.5× 303 1.2× 66 0.3× 199 1.3× 127 0.8× 79 1.0k
Min Qi United States 15 930 1.0× 688 2.7× 207 1.0× 64 0.4× 384 2.5× 30 2.1k
Leonard J. Tashman United States 6 304 0.3× 140 0.6× 62 0.3× 35 0.2× 104 0.7× 8 598

Countries citing papers authored by Rudolf Lewandowski

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Lewandowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudolf Lewandowski

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

All Works

5 of 5 papers shown
1.
Litterman, Robert B., Spyros Makridakis, A. Andersen, et al.. (1986). The Forecasting Accuracy of Major Time Series Methods.. Journal of the American Statistical Association. 81(393). 262–262. 105 indexed citations
2.
Anderson, O. D., Spyros Makridakis, A. Andersen, et al.. (1985). The Forecasting Accuracy of Major Time Series Methods.. Journal of the Royal Statistical Society Series D (The Statistician). 34(2). 261–261. 60 indexed citations
3.
Makridakis, Spyros, A. Andersen, Robert F. Carbone, et al.. (1982). The accuracy of extrapolation (time series) methods: Results of a forecasting competition. Journal of Forecasting. 1(2). 111–153. 1071 indexed citations breakdown →
4.
Lewandowski, Rudolf. (1982). Practitioners' forum. Sales forecasting by forsys. Journal of Forecasting. 1(2). 205–214. 16 indexed citations
5.
Lewandowski, Rudolf. (1974). Prognose- und Informationssysteme : und ihre Anwendungen. Medical Entomology and Zoology. 6 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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