G. A. Lienert

82 papers receiving 1.5k citations

G. A. Lienert's Hit Papers

Testaufbau und Test-analyse 1962 · 536 citations
5360+21+42Years since publication100200300400500

Peers

G. A. Lienert
Comparison fields: 5 of 189
  • Developmental Biology 54
  • Experimental and Cognitive Psychology 208
  • Applied Psychology 79
  • Statistics and Probability 107
  • Social Psychology 252
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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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Testaufbau und Test-analyse
Hit paper breakdown →
1962536
2 2000322
3 1990235
4 197576
5 196369
6 200847
7
Hand-Dominanz-Test
197139
8 196429
9 195927
10 197924
11 199823
12 198421
13 196218
14 197318
15 198013
16 196613
17 196611
18 200810
19 197310
20
The effects of alcohol and caffeine on concentration test performance.
197910

About G. A. Lienert

G. A. Lienert is a scholar working on Statistics and Probability, Management Science and Operations Research, Food Science, Analytical Chemistry and Computer Networks and Communications, having authored 86 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Spectroscopy and Chemometric Analyses (8 papers), Sensory Analysis and Statistical Methods (8 papers), Optimal Experimental Design Methods (8 papers), Advanced Statistical Methods and Models (7 papers), Advanced Statistical Modeling Techniques (7 papers), Sports Science and Education (6 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Developmental Biology (54 citations), Experimental and Cognitive Psychology (208 citations), Applied Psychology (79 citations), Statistics and Probability (107 citations) and Social Psychology (252 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, R. Kohnen, Alexander von Eye, Petra Netter, Walter Lehmacher, Ekkehard Othmer and Ralf Kohnen. Their work appears in journals such as Biometrical Journal, Methods of Information in Medicine, Educational and Psychological Measurement, 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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