Gerhard Arminger

2.5k citations
67 papers · 2.0k · h-index 18

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 13
    • Advanced Statistical Methods and Models 12
    • Statistical Methods and Inference 7
    • Statistical Methods and Applications 3
    • Spatial and Panel Data Analysis 9
    • Housing Market and Economics 3

Gerhard Arminger

58 papers receiving 1.8k citations

Peers

Gerhard Arminger
Comparison fields: 5 of 153
  • Statistics and Probability 688
  • Management Science and Operations Research 364
  • Tourism, Leisure and Hospitality Management 23
  • Experimental and Cognitive Psychology 166
  • Applied Psychology 51
Replace Yutaka Kano with:
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Arminger

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Arminger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerhard Arminger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerhard Arminger Line = papers co-authored together Gerhard Arminger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995430
2 1998175
3 1995157
4 1999155
5 1995153
6 2013150
7 199183
8 199076
9 198972
10 199757
11 198651
12 198846
13 199246
14 199545
15 199239
16 199519
17 199519
18 198618
19 199618
20 197914

About Gerhard Arminger

Gerhard Arminger is a scholar working on Statistics and Probability, Economics and Econometrics, Artificial Intelligence, Finance and Computer Networks and Communications, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Advanced Statistical Methods and Models (12 papers), Spatial and Panel Data Analysis (9 papers), Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (5 papers), Advanced Statistical Modeling Techniques (5 papers), Housing Market and Economics (3 papers) and Statistical Methods and Applications (3 papers). The work is most often cited by research in Statistics and Probability (688 citations), Management Science and Operations Research (364 citations), Tourism, Leisure and Hospitality Management (23 citations), Experimental and Cognitive Psychology (166 citations) and Applied Psychology (51 citations). Gerhard Arminger has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael E. Sobel, Clifford C. Clogg, Bengt Muthén, Petra Stein, Michael W. Browne, Ronald J. Schoenberg, Kenneth Bollen, Alexandra Schwarz, Jochen Kruppa and Andreas Ziegler. Their work appears in journals such as Sociological Methodology, Journal of the American Statistical Association, Sociological Methods & Research, Psychometrika and Multivariate Behavioral Research.

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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