Rainer Schlittgen

811 total citations
36 papers, 502 citations indexed

About

Rainer Schlittgen is a scholar working on Statistics and Probability, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Rainer Schlittgen has authored 36 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 3 papers in General Health Professions. Recurrent topics in Rainer Schlittgen's work include Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Rainer Schlittgen is often cited by papers focused on Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Rainer Schlittgen collaborates with scholars based in Germany, Australia and United States. Rainer Schlittgen's co-authors include Marko Sarstedt, Christian M. Ringle, Jan-Michael Becker, Charles R. Taylor, Joachim Listing, Rainer Schwabe, U. Eggens, Richard N.W. Hauer, Anna Zink and Tobias Effertz and has published in prestigious journals such as Journal of Business Research, Computational Statistics & Data Analysis and Biometrical Journal.

In The Last Decade

Rainer Schlittgen

34 papers receiving 482 citations

Peers

Rainer Schlittgen
Comparison fields: 5 of 128
  • Sociology and Political Science 96
  • Organizational Behavior and Human Resource Management 92
  • Marketing 79
  • Artificial Intelligence 63
  • Strategy and Management 62
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Citations per field, relative to Rainer Schlittgen
Rainer Schlittgen · 1×
Citations per year, relative to Rainer Schlittgen
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Countries citing papers authored by Rainer Schlittgen

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Schlittgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Schlittgen

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Schlittgen. A scholar is included among the top collaborators of Rainer Schlittgen 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 Schlittgen. Rainer Schlittgen 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
# Work Indexed citations
1 2
2 86
3 1
4 1
5
PLS Path Modeling and Evolutionary Segmentation
1
6 113
7 87
8 7
9 21
10 5
11 8
12 5
13 1
14 1
15 3
16 23
17 9
18 11
19 1
20 1

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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