Daniela Becker

957 citations
36 papers · 654 · h-index 14

Impact in

Papers in

Daniela Becker

35 papers receiving 618 citations

Peers

Daniela Becker
Comparison fields: 5 of 93
  • Applied Psychology 204
  • Experimental and Cognitive Psychology 186
  • General Decision Sciences 25
  • Cognitive Neuroscience 155
  • Clinical Psychology 158
Replace Wolfgang A. Rauch with:
Wolfgang A. Rauch Germany
Hans Marien Netherlands
Elena Cañadas Spain
Quanshan Long China
Raúl Berríos Chile
Oliver Genschow Germany
Georg Halbeisen Germany
Giles W. Story United Kingdom
Nancy S. Kim United States
Corinna Martarelli Switzerland
Daniela Becker relative to Wolfgang A. Rauch Germany Wolfgang A. Rauch's profile →
Citations per field
00.5×5.6×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014127
2 201167
3 201262
4 202044
5 201543
6 200732
7 202231
8 202127
9 201424
10 202022
11 202118
12 201818
13 201815
14 202314
15 202313
16 201713
17 201612
18 201811
19 19918
20
Lipoprotein(A) and coronary heart disease risk factors in a racially mixed population: the Johns Hopkins Sibling Study.
19986

About Daniela Becker

Daniela Becker is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, Social Psychology, General Decision Sciences and Cognitive Neuroscience, having authored 36 papers that have together received 654 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (16 papers), Decision-Making and Behavioral Economics (5 papers), Mental Health Research Topics (4 papers), Psychological and Temporal Perspectives Research (3 papers), Neural and Behavioral Psychology Studies (3 papers), Cultural Differences and Values (3 papers), Psychological Well-being and Life Satisfaction (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Applied Psychology (204 citations), Experimental and Cognitive Psychology (186 citations), General Decision Sciences (25 citations), Cognitive Neuroscience (155 citations) and Clinical Psychology (158 citations). Daniela Becker has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Rob W. Holland, Reínout W. Wiers, Nils B. Jostmann, Katharina Bernecker, Agneta H. Fischer, Lotte Veenstra, Michael Vliek, Marleen Gillebaart, Mark Rotteveel and Harm Veling. Their work appears in journals such as Appetite, Social Psychological and Personality Science, Motivation and Emotion, Frontiers in Psychiatry and Journal of Medical Internet Research.

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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