Daniela Becker

937 citations
35 papers · 578 · h-index 14

Impact in

Papers in

Daniela Becker

34 papers receiving 565 citations

Peers

Daniela Becker
Comparison fields: 5 of 95
  • Applied Psychology 210
  • Experimental and Cognitive Psychology 182
  • General Decision Sciences 22
  • Cognitive Neuroscience 149
  • Clinical Psychology 149
Replace Wolfgang A. Rauch with:
Wolfgang A. Rauch Germany
Ralf Schmälzle United States
Georg Halbeisen Germany
Quanshan Long China
Petra C. Schmid Switzerland
Raúl Berríos Chile
Xochitl de la Piedad Garcia Australia
Matthew E. Ansfield United States
Rachel L. Bailey United States
Daniela Becker relative to Wolfgang A. Rauch Germany Wolfgang A. Rauch's profile →
Citations per field
00.5×6.1×
Wolfgang A. Rauch · 1×
Citations per year

Countries citing papers authored by Daniela Becker

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 201165
3 201257
4 201541
5 202040
6 200732
7 202228
8 202125
9 201422
10 202020
11 201818
12 202117
13 202313
14 201713
15 202312
16 201811
17 20189
18 19918
19
Lipoprotein(A) and coronary heart disease risk factors in a racially mixed population: the Johns Hopkins Sibling Study.
19986
20 20125

About Daniela Becker

Daniela Becker is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, Social Psychology, General Decision Sciences and Clinical Psychology, having authored 35 papers that have together received 578 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (18 papers), Decision-Making and Behavioral Economics (5 papers), Mental Health Research Topics (4 papers), Psychological and Temporal Perspectives Research (3 papers), Cultural Differences and Values (3 papers), Neural and Behavioral Psychology Studies (3 papers), Smoking Behavior and Cessation (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Applied Psychology (210 citations), Experimental and Cognitive Psychology (182 citations), General Decision Sciences (22 citations), Cognitive Neuroscience (149 citations) and Clinical Psychology (149 citations). Daniela Becker has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Rob W. Holland, Reínout W. Wiers, Agneta H. Fischer, Nils B. Jostmann, Katharina Bernecker, Lotte Veenstra, Michael Vliek, Mark Rotteveel, Marleen Gillebaart and Harm Veling. Their work appears in journals such as Motivation and Emotion, Social Psychological and Personality Science, Appetite, Frontiers in Psychiatry and Trends in Cognitive Sciences.

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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