Casey Hanley

591 total citations · 1 hit paper
6 papers, 349 citations indexed

About

Casey Hanley is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Geriatrics and Gerontology. According to data from OpenAlex, Casey Hanley has authored 6 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in General Health Professions and 2 papers in Geriatrics and Gerontology. Recurrent topics in Casey Hanley's work include Non-Invasive Vital Sign Monitoring (2 papers), Frailty in Older Adults (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Casey Hanley is often cited by papers focused on Non-Invasive Vital Sign Monitoring (2 papers), Frailty in Older Adults (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Casey Hanley collaborates with scholars based in United States and South Korea. Casey Hanley's co-authors include Simon C. Mathews, Adam B. Cohen, Michael McShea, Alan Ravitz, Alain Labrique, Brian Buta, Qian‐Li Xue, Nancy L. Schoenborn, Matthew McNabney and Jae Kun Shim and has published in prestigious journals such as Physiological Measurement, BMC Geriatrics and npj Digital Medicine.

In The Last Decade

Casey Hanley

6 papers receiving 341 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Digital health: a path to validation

2019 314 citations Simon C. Mathews, Michael McShea et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Casey Hanley United States	5	141	93	80	34	32	6	349
Michael McShea United States	5	154 1.1×	100 1.1×	90 1.1×	36 1.1×	39 1.2×	11	403
Haipeng Zhang United States	8	151 1.1×	103 1.1×	82 1.0×	25 0.7×	26 0.8×	15	373
Sara Chokshi United States	11	171 1.2×	105 1.1×	59 0.7×	37 1.1×	66 2.1×	18	447
Sven Meister Germany	10	139 1.0×	75 0.8×	67 0.8×	25 0.7×	36 1.1×	53	334
Timothy Dy Aungst United States	11	303 2.1×	110 1.2×	103 1.3×	54 1.6×	35 1.1×	29	569
Lasse Østengaard Denmark	9	106 0.8×	90 1.0×	28 0.3×	37 1.1×	36 1.1×	17	396
Ruth Agbakoba United Kingdom	5	132 0.9×	79 0.8×	49 0.6×	23 0.7×	40 1.3×	7	281
Conceição Granja Norway	7	277 2.0×	141 1.5×	113 1.4×	22 0.6×	70 2.2×	22	550
Shahabeddin Abhari Iran	8	93 0.7×	82 0.9×	25 0.3×	37 1.1×	69 2.2×	29	459
Daphne Zohar United States	4	102 0.7×	37 0.4×	64 0.8×	33 1.0×	18 0.6×	4	289

Countries citing papers authored by Casey Hanley

Since Specialization

Citations

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

Fields of papers citing papers by Casey Hanley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Hanley

This figure shows the co-authorship network connecting the top 25 collaborators of Casey Hanley. A scholar is included among the top collaborators of Casey Hanley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Casey Hanley. Casey Hanley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Bell, Elizabeth M., Michael F. Vignos, Eyal Bar-Kochba, et al.. (2024). Sampling rate requirement for accurate calculation of heart rate and its variability based on the electrocardiogram. Physiological Measurement. 45(2). 25007–25007. 4 indexed citations

2.

Hanley, Casey, Lisa Reider, S. Snyder, et al.. (2023). Accuracy of heart rate measured by military-grade wearable ECG monitor compared with reference and commercial monitors. BMJ Military Health. 171(2). 144–149. 9 indexed citations

3.

Buta, Brian, et al.. (2021). Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study. BMC Geriatrics. 21(1). 101–101. 9 indexed citations

4.

Mathews, Simon C., et al.. (2019). Reply: Some considerations on digital health validation. npj Digital Medicine. 2(1). 103–103. 9 indexed citations

5.

Buta, Brian, et al.. (2019). DEVELOPING A SENSOR-BASED MOBILE APPLICATION FOR IN-HOME FRAILTY ASSESSMENT: A QUALITATIVE STUDY. Innovation in Aging. 3(Supplement_1). S831–S832. 4 indexed citations

6.

Mathews, Simon C., Michael McShea, Casey Hanley, et al.. (2019). Digital health: a path to validation. npj Digital Medicine. 2(1). 38–38. 314 indexed citations breakdown →

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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