Daniel R. Witt

489 total citations
9 papers, 306 citations indexed

About

Daniel R. Witt is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Clinical Psychology. According to data from OpenAlex, Daniel R. Witt has authored 9 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Clinical Psychology. Recurrent topics in Daniel R. Witt's work include Impact of Technology on Adolescents (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Daniel R. Witt is often cited by papers focused on Impact of Technology on Adolescents (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Daniel R. Witt collaborates with scholars based in United States, China and France. Daniel R. Witt's co-authors include M Snyder, Jessilyn Dunn, Ryan Kellogg, Jennifer L. Hicks, Amir Bahmani, Sophia Miryam Schüssler‐Fiorenza Rose, Ryan Runge, Xiao Li, Łukasz Kidziński and Scott L. Delp and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel R. Witt

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel R. Witt United States	5	97	54	44	41	33	9	306
Yuling Chen China	11	38 0.4×	61 1.1×	14 0.3×	45 1.1×	21 0.6×	42	345
Jongshill Lee South Korea	11	192 2.0×	156 2.9×	38 0.9×	12 0.3×	33 1.0×	36	473
Changsun Kim South Korea	14	44 0.5×	63 1.2×	47 1.1×	30 0.7×	93 2.8×	73	540
Lisa Falco Switzerland	7	64 0.7×	32 0.6×	16 0.4×	38 0.9×	9 0.3×	14	269
Laleh Jalilian United States	9	69 0.7×	68 1.3×	54 1.2×	24 0.6×	14 0.4×	18	451
Conrad Harrison United Kingdom	14	85 0.9×	21 0.4×	131 3.0×	42 1.0×	27 0.8×	62	700
Yasser A. Alaska Saudi Arabia	6	90 0.9×	115 2.1×	7 0.2×	21 0.5×	20 0.6×	16	298
Elio Carchietti Italy	10	82 0.8×	105 1.9×	9 0.2×	37 0.9×	37 1.1×	16	407
Eliza Bruce United States	9	42 0.4×	47 0.9×	20 0.5×	36 0.9×	50 1.5×	12	517
Edward Ramos United States	6	126 1.3×	75 1.4×	74 1.7×	20 0.5×	36 1.1×	11	495

Countries citing papers authored by Daniel R. Witt

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Witt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Witt. 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 Daniel R. Witt. The network helps show where Daniel R. Witt may publish in the future.

Co-authorship network of co-authors of Daniel R. Witt

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

All Works

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9 of 9 papers shown

Harmon, David, Daniel R. Witt, Paul A. Friedman, & Zachi I. Attia. (2021). Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence–enhanced electrocardiogram. SHILAP Revista de lepidopterología. 2(5). 282–284. 5 indexed citations

Dunn, Jessilyn, Łukasz Kidziński, Ryan Runge, et al.. (2021). Wearable sensors enable personalized predictions of clinical laboratory measurements. Nature Medicine. 27(6). 1105–1112. 143 indexed citations

Witt, Daniel R., Ryan Kellogg, M Snyder, & Jessilyn Dunn. (2019). Windows into human health through wearables data analytics. Current Opinion in Biomedical Engineering. 9. 28–46. 98 indexed citations

Barwise, Amelia, Christi A. Patten, Christine A. Hughes, et al.. (2019). Acceptability of Robotic-Assisted Exercise Coaching Among Diverse Youth: Pilot Study. JMIR Pediatrics and Parenting. 2(2). e12549–e12549. 4 indexed citations

Patten, Christi A., James A. Levine, Ioannis Pavlidis, et al.. (2018). Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers. PLoS ONE. 13(5). e0197090–e0197090. 4 indexed citations

Witt, Daniel R. & Christi A. Patten. (2018). Treatment of Tobacco Use Disorder and Mood Disorders in Adolescents. Current Addiction Reports. 5(3). 346–358. 1 indexed citations

Witt, Daniel R., et al.. (2017). Six-Month Outcomes for Collaborative Care Management of Depression Among Smoking and Nonsmoking Patients. Health Services Research and Managerial Epidemiology. 4. 2298515076–2298515076. 4 indexed citations

Witt, Daniel R., Huijun Chen, Jason D. Mielens, et al.. (2013). Detection of Chronic Laryngitis due to Laryngopharyngeal Reflux Using Color and Texture Analysis of Laryngoscopic Images. Journal of Voice. 28(1). 98–105. 17 indexed citations

Hou, Xiaolin, et al.. (2012). Comparison between tracheal foreign body and bronchial foreign body: A review of 1007 cases. International Journal of Pediatric Otorhinolaryngology. 76(12). 1719–1725. 30 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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