Daniela Weber

969 citations
28 papers · 614 · h-index 13

Impact in

Papers in

    • Health disparities and outcomes 10
    • Insurance, Mortality, Demography, Risk Management 6
    • Retirement, Disability, and Employment 4

Daniela Weber

26 papers receiving 576 citations

Peers

Daniela Weber
Comparison fields: 5 of 114
  • Neuropsychology and Physiological Psychology 57
  • Health 181
  • Demography 174
  • General Health Professions 183
  • Geriatrics and Gerontology 27
Replace Shannon Ang with:
Shannon Ang Singapore
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Riitta‐Liisa Heikkinen Finland
Christine Hoffman United States
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Citations per year

Countries citing papers authored by Daniela Weber

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniela Weber, 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 Weber Line = papers co-authored together Daniela Weber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 2014105
3 201969
4 201668
5 201637
6 201735
7 202034
8 201623
9 196222
10 201319
11 201616
12 202114
13 202012
14 20179
15 20198
16 20235
17 20194
18 19874
19 20143
20
Demographic Profile of the Arab Region: Realizing the Demographic Dividend
20163

About Daniela Weber

Daniela Weber is a scholar working on Health, Demography, General Health Professions, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 28 papers that have together received 614 indexed citations. Recurring topics across this work include Health disparities and outcomes (10 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Global Health Care Issues (5 papers), Retirement, Disability, and Employment (4 papers), Cognitive Abilities and Testing (4 papers), Aging and Gerontology Research (4 papers), Education, Achievement, and Giftedness (3 papers) and Health, Medicine and Society (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (57 citations), Health (181 citations), Demography (174 citations), General Health Professions (183 citations) and Geriatrics and Gerontology (27 citations). Daniela Weber has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Elke Loichinger, Vegard Skirbekk, Agneta Herlitz, Serhiy Dekhtyar, Sergei Scherbov, Valeria Bordone, Jonas Helgertz, L. Lendle, K. D. Friedberg and Warren C. Sanderson. Their work appears in journals such as Intelligence, BMC Geriatrics, Proceedings of the National Academy of Sciences, Journal of Aging and Health and Scientific Reports.

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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