Julia Stadelmaier

27 papers receiving 399 citations

Peers

Julia Stadelmaier
Comparison fields: 5 of 79
  • Modeling and Simulation 43
  • Health Informatics 12
  • Statistics, Probability and Uncertainty 35
  • Public Health, Environmental and Occupational Health 72
  • General Health Professions 42
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Carlos Gamboa United States
Min Xian Wang Singapore
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Julius Nyerere Odhiambo United States
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Bridget Lindsay Farham Republic of the Congo
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Citations per year

Countries citing papers authored by Julia Stadelmaier

Since Specialization
Citations

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

Fields of papers citing papers by Julia Stadelmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 202372
3 202143
4 202437
5 202327
6 202216
7 202214
8 202412
9 202111
10 20229
11 20229
12 20218
13 20228
14 20227
15 20226
16 20226
17 20246
18 20225
19 20255
20 20234

About Julia Stadelmaier

Julia Stadelmaier is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, General Health Professions, Physiology and Nutrition and Dietetics, having authored 30 papers that have together received 405 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Nutritional Studies and Diet (6 papers), Agriculture Sustainability and Environmental Impact (2 papers), Nutrition and Health in Aging (2 papers), Geriatric Care and Nursing Homes (2 papers), Diet and metabolism studies (2 papers), Academic Writing and Publishing (1 paper) and Bariatric Surgery and Outcomes (1 paper). The work is most often cited by research in Modeling and Simulation (43 citations), Health Informatics (12 citations), Statistics, Probability and Uncertainty (35 citations), Public Health, Environmental and Occupational Health (72 citations) and General Health Professions (42 citations). Julia Stadelmaier has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Lukas Schwingshackl, Eva Kiesswetter, Kathrin Grummich, Sabrina Schlesinger, Joerg J Meerpohl, Manuela Neuenschwander, Ani Movsisyan, Maria Petropoulou, Katharina-Jaqueline Wabnitz and Renke Lars Biallas. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology, Advances in Nutrition, BMC Medicine and BMJ Open.

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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