Oliver Kliegl
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Social Psychology
- Topics
- Memory Processes and Influences (20 papers)Neural and Behavioral Psychology Studies (6 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- Neuroscience & Biobehavioral ReviewsJournal of Experimental Psychology Learning Memory and CognitionFrontiers in Psychology
- Partner nations
- GermanyUnited States
In The Last Decade
Oliver Kliegl
20 papers receiving 281 citations
Peers
Comparison fields: 5 of 37
- Cognitive Neuroscience 262
- Experimental and Cognitive Psychology 99
- Developmental and Educational Psychology 85
- Artificial Intelligence 77
- Social Psychology 32
Countries citing papers authored by Oliver Kliegl
This map shows the geographic impact of Oliver Kliegl'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 Oliver Kliegl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Kliegl more than expected).
Fields of papers citing papers by Oliver Kliegl
This network shows the impact of papers produced by Oliver Kliegl. 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 Oliver Kliegl. The network helps show where Oliver Kliegl may publish in the future.
Co-authorship network of co-authors of Oliver Kliegl
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Kliegl. A scholar is included among the top collaborators of Oliver Kliegl 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 Oliver Kliegl. Oliver Kliegl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 20 | |
| 17 | 17 | |
| 18 | 13 | |
| 19 | 52 | |
| 20 | 18 |
About Oliver Kliegl
Oliver Kliegl is a scholar working on Cognitive Neuroscience, General Decision Sciences and Developmental and Educational Psychology, having authored 23 papers that have together received 287 indexed citations. Recurring topics across this work include Memory Processes and Influences (20 papers), Neural and Behavioral Psychology Studies (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Experimental and Cognitive Psychology (99 citations) and Developmental and Educational Psychology (85 citations). Oliver Kliegl has collaborated with scholars based in Germany and United States. Frequent co-authors include Karl‐Heinz T. Bäuml, Bernhard Pastötter, Magdalena Abel and Robert A. Bjork. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Journal of Experimental Psychology Learning Memory and Cognition and Frontiers in Psychology.
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.