Gerhard Arminger

2.6k citations
40 papers · 1.6k · h-index 16

Impact in

Papers in

Gerhard Arminger

40 papers receiving 1.5k citations

Peers

Gerhard Arminger
Comparison fields: 5 of 146
  • Statistics and Probability 473
  • Management Science and Operations Research 260
  • Accounting 148
  • Experimental and Cognitive Psychology 135
  • Artificial Intelligence 321
Replace Yutaka Kano with:
Yutaka Kano Japan
Raymond Hubbard United States
Anne Boomsma Netherlands
Benjamin F. King United States
David R. Thomas Canada
Jason Abrevaya United States
Susanne M. Schennach United States
Alain Trognon France
Dominique Haughton United States
Robert J. Mokken Netherlands
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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 19 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995390
2 1998170
3 1999141
4 1995139
5 2013139
6 199175
7 199066
8 198964
9
Analyzing Credit Risk Data: A Comparison of Logistic Discrimination, Classification Tree Analysis, and Feedforward Networks
199753
10 199751
11 198640
12 199239
13 199537
14 199230
15 199618
16 199517
17 199612
18 198911
19 201011
20 19899

About Gerhard Arminger

Gerhard Arminger is a scholar working on Statistics and Probability, Sociology and Political Science, Artificial Intelligence, Economics and Econometrics and Computer Networks and Communications, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (4 papers), Spatial and Panel Data Analysis (4 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Statistical Modeling Techniques (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers) and Gender, Labor, and Family Dynamics (2 papers). The work is most often cited by research in Statistics and Probability (473 citations), Management Science and Operations Research (260 citations), Accounting (148 citations), Experimental and Cognitive Psychology (135 citations) and Artificial Intelligence (321 citations). Gerhard Arminger has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Michael E. Sobel, Clifford C. Clogg, Bengt Muthén, Petra Stein, Ronald Schoenberg, Kenneth A. Bollen, Andreas Ziegler, Jochen Kruppa, Alexandra Schwarz and Andrew Gelman. Their work appears in journals such as Sociological Methodology, Journal of the American Statistical Association, Sociological Methods & Research, Psychometrika and Addiction.

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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