Sveja Eberhard

40 papers receiving 484 citations

Peers

Sveja Eberhard
Comparison fields: 5 of 83
  • Health 35
  • General Health Professions 82
  • Neuropsychology and Physiological Psychology 5
  • Applied Microbiology and Biotechnology 5
  • Epidemiology 83
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Citations per year

Countries citing papers authored by Sveja Eberhard

Since Specialization
Citations

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

Fields of papers citing papers by Sveja Eberhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 201947
3 202131
4 201730
5 201729
6 201826
7 201826
8 202025
9 202218
10 202215
11 201613
12 201613
13
Wie „repräsentativ“ sind GKV-Daten?: Demografische und soziale Unterschiede und Ähnlichkeiten zwischen einer GKV-Versichertenpopulation, der Bevölkerung Niedersachsens sowie der Bundesrepublik am Beispiel der AOK Niedersachsen
201311
14 202111
15 201910
16 201810
17 20189
18 20089
19 20169
20 20188

About Sveja Eberhard

Sveja Eberhard is a scholar working on General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health, Economics and Econometrics and Infectious Diseases, having authored 41 papers that have together received 495 indexed citations. Recurring topics across this work include Health and Medical Studies (6 papers), Chronic Disease Management Strategies (5 papers), Palliative Care and End-of-Life Issues (3 papers), Social and Demographic Issues in Germany (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare Policy and Management (2 papers), Mental Health Treatment and Access (2 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). The work is most often cited by research in Health (35 citations), General Health Professions (82 citations), Neuropsychology and Physiological Psychology (5 citations), Applied Microbiology and Biotechnology (5 citations) and Epidemiology (83 citations). Sveja Eberhard has collaborated with scholars based in Germany, Portugal and United States. Frequent co-authors include Siegfried Geyer, Jona T. Stahmeyer, Jelena Epping, Juliane Tetzlaff, Jelena Jaunzeme, Jan Zeidler, Karin Weißenborn, Kathrin Damm, Lea de Jong and Stefanie Sperlich. Their work appears in journals such as International Journal of Public Health, Frontiers in Pharmacology, The European Journal of Health Economics, Clinical Research in Cardiology 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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