Noah A. Schuster

687 citations
14 papers · 409 · h-index 9

Impact in

Papers in

    • Advanced Causal Inference Techniques 5
    • Statistical Methods and Bayesian Inference 3
    • Statistical Methods and Inference 3
    • Statistical Methods in Clinical Trials 3
    • Health Systems, Economic Evaluations, Quality of Life 6

Noah A. Schuster

14 papers receiving 402 citations

Peers

Noah A. Schuster
Comparison fields: 5 of 105
  • Geriatrics and Gerontology 84
  • Health 80
  • Neuropsychology and Physiological Psychology 9
  • Statistics and Probability 39
  • General Health Professions 91
Replace Jennifer G. Lyons with:
Jennifer G. Lyons United States
Federica Mammarella Italy
Sarah Ronaldson United Kingdom
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Joe Hollinghurst United Kingdom
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Citations per field
00.5×
Jennifer G. Lyons · 1×
Citations per year

Countries citing papers authored by Noah A. Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Noah A. Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah A. Schuster. 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 Noah A. Schuster. The network helps show where Noah A. Schuster may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020115
2 202087
3 202240
4 202137
5 202131
6 202028
7 202122
8 202121
9 202311
10 20196
11 20225
12 20223
13 19932
14 20241

About Noah A. Schuster

Noah A. Schuster is a scholar working on Statistics and Probability, Economics and Econometrics, Geriatrics and Gerontology, Health and Physiology, having authored 14 papers that have together received 409 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Advanced Causal Inference Techniques (5 papers), Frailty in Older Adults (4 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers), Health disparities and outcomes (3 papers), Statistical Methods in Clinical Trials (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Geriatrics and Gerontology (84 citations), Health (80 citations), Neuropsychology and Physiological Psychology (9 citations), Statistics and Probability (39 citations) and General Health Professions (91 citations). Noah A. Schuster has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Martijn W. Heymans, Jos W. R. Twisk, Emiel O. Hoogendijk, Judith J. M. Rijnhart, Almar A. L. Kok, Sascha de Breij, Martijn Huisman, Tjalling J. Holwerda, Elsa Dent and Melissa K. Andrew. Their work appears in journals such as BMC Medical Research Methodology, Gerontology, BMJ Open, Journal of the American Geriatrics Society and Preventive Medicine 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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