G. A. Lienert

93 papers receiving 1.8k citations

G. A. Lienert's Hit Papers

Testaufbau und Test-analyse 1962 · 719 citations
7190+21+42Years since publication200400600

Peers

G. A. Lienert
Comparison fields: 5 of 188
  • Developmental Biology 53
  • Applied Psychology 98
  • Experimental and Cognitive Psychology 224
  • History and Philosophy of Science 84
  • Statistics and Probability 130
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Citations per year

Countries citing papers authored by G. A. Lienert

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Lienert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Lienert. 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 G. A. Lienert. The network helps show where G. A. Lienert may publish in the future.

Co-authors

The 25 scholars most cited alongside G. A. Lienert, 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 G. A. Lienert Line = papers co-authored together G. A. Lienert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Testaufbau und Test-analyse
Hit paper breakdown →
1962719
2 2000353
3 1990282
4 196394
5 197586
6 200854
7
Hand-Dominanz-Test
197141
8 195930
9 199829
10 197928
11 198422
12 196221
13 197320
14 200818
15 196615
16 196614
17 198013
18 197812
19
The effects of alcohol and caffeine on concentration test performance.
197911
20 199811

About G. A. Lienert

G. A. Lienert is a scholar working on Statistics and Probability, Management Science and Operations Research, Food Science, History and Philosophy of Science and Computer Networks and Communications, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Sports Science and Education (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Optimal Experimental Design Methods (8 papers), Sensory Analysis and Statistical Methods (8 papers), Advanced Statistical Modeling Techniques (8 papers), Advanced Statistical Methods and Models (7 papers) and Mental Health Research Topics (6 papers). The work is most often cited by research in Developmental Biology (53 citations), Applied Psychology (98 citations), Experimental and Cognitive Psychology (224 citations), History and Philosophy of Science (84 citations) and Statistics and Probability (130 citations). G. A. Lienert has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Jürgen Bortz, Klaus Boehnke, J. Krauth, Tomáš Havránek, Alexander von Eye, R. Kohnen, Petra Netter, Ralf Kohnen, Walter Lehmacher and Ekkehard Othmer. Their work appears in journals such as Biometrical Journal, Educational and Psychological Measurement, Methods of Information in Medicine, The Journal of Psychology and Personality and Individual Differences.

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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