Ariel Linden

5.3k total citations · 1 hit paper
104 papers, 3.7k citations indexed

About

Ariel Linden is a scholar working on Economics and Econometrics, Statistics and Probability and General Health Professions. According to data from OpenAlex, Ariel Linden has authored 104 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Economics and Econometrics, 53 papers in Statistics and Probability and 36 papers in General Health Professions. Recurrent topics in Ariel Linden's work include Advanced Causal Inference Techniques (49 papers), Health Systems, Economic Evaluations, Quality of Life (41 papers) and Healthcare Policy and Management (34 papers). Ariel Linden is often cited by papers focused on Advanced Causal Inference Techniques (49 papers), Health Systems, Economic Evaluations, Quality of Life (41 papers) and Healthcare Policy and Management (34 papers). Ariel Linden collaborates with scholars based in United States, Australia and Netherlands. Ariel Linden's co-authors include John Adams, Nancy Roberts, Susan Butterworth, Paul R. Yarnold, Steven J. Samuels, James O. Prochaska, Maya B. Mathur, Tyler J. VanderWeele, Andrew M. Ryan and Michael C. Leo and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Statistics in Medicine and BioMed Research International.

In The Last Decade

Ariel Linden

100 papers receiving 3.5k 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.

Conducting Interrupted Time-series Analysis for Single- and Multiple-group Comparisons

2015 821 citations Ariel Linden profile →

Peers

Ariel Linden

EE

GHP

SP

EPIDE

PHEOH

Tim P. Morris United Kingdom

Paul Grootendorst Canada

Sherri Rose United States

Beth Ann Griffin United States

Eric J. Tchetgen Tchetgen United States

Richard Grieve United Kingdom

Yulei He United States

David J. Spiegelhalter United Kingdom

Sara Schroter United Kingdom

William H. Crown United States

Tim P. Morris United Kingdom

Ariel Linden

490 ×0.5

EE

357 ×0.4

GHP

848 ×1.3

SP

541 ×1.0

EPIDE

367 ×1.0

PHEOH

Citations per year, relative to Ariel Linden Ariel Linden (= 1×) peers Tim P. Morris

Countries citing papers authored by Ariel Linden

Since Specialization

Citations

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

Fields of papers citing papers by Ariel Linden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Linden

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Linden. A scholar is included among the top collaborators of Ariel Linden 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 Ariel Linden. Ariel Linden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Linden, Ariel. (2021). RMLOA: Stata module to compute limits of agreement for data with repeated measures. RePEc: Research Papers in Economics. 1 indexed citations

2.

Linden, Ariel. (2021). RMCORR: Stata module to compute a correlation for data with repeated measures. RePEc: Research Papers in Economics. 1 indexed citations

3.

Linden, Ariel. (2020). DIAGSAMPSI: Stata module for computing sample size for a single diagnostic test with a binary outcome. RePEc: Research Papers in Economics. 2 indexed citations

4.

Couto, Joseph, et al.. (2018). Use of an algorithm applied to urine drug screening to assess adherence to an OxyContin® regimen. Journal of Opioid Management. 5(6). 359–364. 2 indexed citations

5.

Yarnold, Paul R. & Ariel Linden. (2017). Computing Propensity Score Weights for CTA Models Involving Perfectly Predicted Endpoints. Deep Blue (University of Michigan). 1 indexed citations

6.

Linden, Ariel & Susan Butterworth. (2014). A comprehensive hospital-based intervention to reduce readmissions for chronically ill patients: a randomized controlled trial.. PubMed. 20(10). 783–92. 44 indexed citations

7.

Linden, Ariel. (2013). RTMCI: Stata module to estimate regression to the mean effects with confidence intervals. RePEc: Research Papers in Economics. 4 indexed citations

8.

Linden, Ariel, et al.. (2011). A successful hospital-based disease management program to reduce admissions among patients with multiple chronic illnesses. 1(4). 675–682. 1 indexed citations

9.

Linden, Ariel. (2011). Identifying spin in health management evaluations. Journal of Evaluation in Clinical Practice. 17(6). 1223–1230. 15 indexed citations

10.

Linden, Ariel & John Adams. (2010). Evaluating health management programmes over time: application of propensity score‐based weighting to longitudinal data. Journal of Evaluation in Clinical Practice. 16(1). 180–185. 39 indexed citations

11.

Linden, Ariel & John Adams. (2010). Using propensity score‐based weighting in the evaluation of health management programme effectiveness. Journal of Evaluation in Clinical Practice. 16(1). 175–179. 51 indexed citations

12.

Linden, Ariel, Susan Butterworth, & James O. Prochaska. (2010). Motivational interviewing‐based health coaching as a chronic care intervention. Journal of Evaluation in Clinical Practice. 16(1). 166–174. 133 indexed citations

13.

Gill, J. M., et al.. (2009). 154: Impact of Care Management on the Highest Utilizers of Camden NJ's Emergency Departments. Annals of Emergency Medicine. 54(3). S47–S48. 1 indexed citations

14.

Linden, Ariel & Julia Adler‐Milstein. (2008). Medicare disease management in policy context.. PubMed. 29(3). 1–11. 24 indexed citations

15.

Rastogi, Anjay, Ariel Linden, & Allen R. Nissenson. (2008). Disease Management in Chronic Kidney Disease. Advances in Chronic Kidney Disease. 15(1). 19–28. 33 indexed citations

16.

Butterworth, Susan, et al.. (2007). Health Coaching as an Intervention in Health Management Programs. Disease Management & Health Outcomes. 15(5). 299–307. 58 indexed citations

17.

Linden, Ariel. (2006). What will it take for disease management to demonstrate a return on investment? New perspectives on an old theme.. PubMed. 12(4). 217–22. 42 indexed citations

18.

Linden, Ariel, John Adams, & Nancy Roberts. (2006). Evaluating disease management programme effectiveness: an introduction to the regression discontinuity design. Journal of Evaluation in Clinical Practice. 12(2). 124–131. 37 indexed citations

19.

Linden, Ariel & John Adams. (2006). Evaluating disease management programme effectiveness: an introduction to instrumental variables. Journal of Evaluation in Clinical Practice. 12(2). 148–154. 30 indexed citations

20.

Linden, Ariel, John Adams, & Nancy Roberts. (2005). Strengthening the case for disease management effectiveness: un‐hiding the hidden bias. Journal of Evaluation in Clinical Practice. 12(2). 140–147. 28 indexed citations

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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