Gerhard Arminger

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

Gerhard Arminger

40 papers receiving 1.5k citations

Peers

Gerhard Arminger
Comparison fields: 5 of 152
  • Statistics and Probability 476
  • Management Science and Operations Research 260
  • Accounting 147
  • Experimental and Cognitive Psychology 142
  • Health 90
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Raymond Hubbard United States
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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-authorship network

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
#Work
1 20082
2 1999139
3 1998170
4 199751
5
Analyzing Credit Risk Data: A Comparison of Logistic Discrimination, Classification Tree Analysis, and Feedforward Networks
199753
6 199618
7
Analyzing the Employment Status with Panel Data from the GSOEP: A Comparison of the MECOSA and the GEE1 Approach for Marginal Models
19955
8
Pseudo-Maximum-Likelihood-Schätzung und Regressionsdiagnostik für Zähldaten: Suizid durch Tourismus?
19952
9 1995138
10 19935
11 19924
12 19926
13 199230
14 198911
15 19895
16 19882
17 19867
18 198640
19
Fahrmeir, Ludwig ; Hamerle, A. (Hrsg.): Multivariate statistische Verfahren. Berlin, 1984
19852
20 19837

About Gerhard Arminger

Gerhard Arminger is a scholar working on Statistics and Probability, Gender Studies and Artificial Intelligence, 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), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Inference (4 papers), Spatial and Panel Data Analysis (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 (476 citations), Management Science and Operations Research (260 citations) and Accounting (147 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, Andrew Gelman, Jochen Kruppa, Alexandra Schwarz 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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