Cora Titz

573 citations
17 papers · 421 · h-index 5

Impact in

Papers in

Cora Titz

13 papers receiving 386 citations

Peers

Cora Titz
Comparison fields: 5 of 53
  • Experimental and Cognitive Psychology 179
  • Developmental and Educational Psychology 154
  • Cognitive Neuroscience 186
  • Statistics and Probability 55
  • Neuropsychology and Physiological Psychology 7
Replace Nikolaos Makris with:
Nikolaos Makris Greece
Lina M. Cómbita Spain
Matthias Schwaighofer Germany
Bruno Façon France
Peter Baggetta United States
Thomas C. Lorsbach United States
Javier García-Orza Spain
Milton J. Dehn United States
Julia Morales Spain
Marisa G. Filipe Portugal
Cora Titz relative to Nikolaos Makris Greece Nikolaos Makris's profile →
Citations per field
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Nikolaos Makris · 1×
Citations per year

Countries citing papers authored by Cora Titz

Since Specialization
Citations

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

Fields of papers citing papers by Cora Titz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Cora Titz, 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 Cora Titz Line = papers co-authored together Cora Titz links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2014292
2 201047
3 201129
4 201316
5 200815
6 20114
7 20033
8 20103
9 20033
10 20143
11 20192
12 20082
13 20061
14 20201
15 20230
16 20130
17 20040

About Cora Titz

Cora Titz is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Developmental and Educational Psychology, Language and Linguistics and Applied Psychology, having authored 17 papers that have together received 421 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (7 papers), Cognitive Functions and Memory (4 papers), Cognitive Abilities and Testing (4 papers), Memory Processes and Influences (4 papers), Linguistic Education and Pedagogy (3 papers), Linguistic research and analysis (3 papers), Sociology and Education Studies (3 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (179 citations), Developmental and Educational Psychology (154 citations), Cognitive Neuroscience (186 citations), Statistics and Probability (55 citations) and Neuropsychology and Physiological Psychology (7 citations). Cora Titz has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Julia Karbach, Marcus Hasselhorn, Paul Verhaeghen, Jörg Behrendt, Matthias Mittner, Martin Lehmann, Sabrina Geyer, Peter Schmuck, Sarah Gentrup and Katja Mackowiak. Their work appears in journals such as Experimental Aging Research, Frontiers in Psychology, Psychology and Aging, Psychological Research and Educational Gerontology.

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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