Devin B. McCombie

793 total citations
19 papers, 593 citations indexed

About

Devin B. McCombie is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Devin B. McCombie has authored 19 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 13 papers in Biomedical Engineering and 9 papers in Surgery. Recurrent topics in Devin B. McCombie's work include Non-Invasive Vital Sign Monitoring (12 papers), Heart Rate Variability and Autonomic Control (8 papers) and Hemodynamic Monitoring and Therapy (7 papers). Devin B. McCombie is often cited by papers focused on Non-Invasive Vital Sign Monitoring (12 papers), Heart Rate Variability and Autonomic Control (8 papers) and Hemodynamic Monitoring and Therapy (7 papers). Devin B. McCombie collaborates with scholars based in United States, Malaysia and Australia. Devin B. McCombie's co-authors include Andrew Reisner, H. Harry Asada, P. Shaltis, Mark A. Warner, David S. Warner, Isaac Henry, Einly Lim, Guanqun Zhang, Siew‐Cheok Ng and Stephen J. Redmond and has published in prestigious journals such as Anesthesiology, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Control Systems Technology.

In The Last Decade

Devin B. McCombie

19 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devin B. McCombie United States 11 492 409 323 69 28 19 593
Aymen Alian United States 14 676 1.4× 605 1.5× 549 1.7× 58 0.8× 55 2.0× 41 894
P. Shaltis United States 9 684 1.4× 493 1.2× 320 1.0× 78 1.1× 66 2.4× 15 836
Sinan Hersek United States 16 430 0.9× 225 0.6× 186 0.6× 42 0.6× 36 1.3× 27 640
J. Alex Heller United States 14 549 1.1× 432 1.1× 256 0.8× 77 1.1× 26 0.9× 39 796
Ramon Casanella Spain 10 713 1.4× 539 1.3× 279 0.9× 37 0.5× 60 2.1× 33 825
Karthik Budidha United Kingdom 12 374 0.8× 242 0.6× 184 0.6× 115 1.7× 38 1.4× 29 526
M. Nogawa Japan 15 339 0.7× 176 0.4× 119 0.4× 39 0.6× 26 0.9× 58 598
Roberto Burattini Italy 21 188 0.4× 814 2.0× 261 0.8× 92 1.3× 16 0.6× 72 1.0k
Izmail Batkin Canada 14 567 1.2× 580 1.4× 236 0.7× 21 0.3× 71 2.5× 35 904
Volkan Tuzcu Türkiye 16 115 0.2× 636 1.6× 160 0.5× 35 0.5× 45 1.6× 68 851

Countries citing papers authored by Devin B. McCombie

Since Specialization
Citations

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

Fields of papers citing papers by Devin B. McCombie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin B. McCombie. 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 Devin B. McCombie. The network helps show where Devin B. McCombie may publish in the future.

Co-authorship network of co-authors of Devin B. McCombie

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

All Works

19 of 19 papers shown
1.
Ng, Siew‐Cheok, Nigel H. Lovell, Maw Pin Tan, et al.. (2018). Adaptive template matching of photoplethysmogram pulses to detect motion artefact. Physiological Measurement. 39(10). 105005–105005. 30 indexed citations
2.
Zhang, Guanqun, et al.. (2016). Assessment of pre-ejection period in ambulatory subjects using seismocardiogram in a wearable blood pressure monitor. PubMed. 2016. 3386–3389. 12 indexed citations
3.
Henry, Isaac, et al.. (2015). Multi-parameter vital sign database to assist in alarm optimization for general care units. Journal of Clinical Monitoring and Computing. 30(6). 895–900. 28 indexed citations
4.
Zhang, Guanqun, et al.. (2014). Assessing the challenges of a pulse wave velocity based blood pressure measurement in surgical patients. PubMed. 2014. 574–577. 15 indexed citations
5.
Dhillon, Mandeep Singh, et al.. (2012). Towards the prevention of pressure ulcers with a wearable patient posture monitor based on adaptive accelerometer alignment. PubMed. 73. 4513–4516. 5 indexed citations
6.
Hahn, Jin‐Oh, et al.. (2009). Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring. IEEE Transactions on Control Systems Technology. 18(1). 170–176. 8 indexed citations
7.
Reisner, Andrew, P. Shaltis, Devin B. McCombie, et al.. (2008). Utility of the Photoplethysmogram in Circulatory Monitoring. Anesthesiology. 108(5). 950–958. 269 indexed citations
8.
McCombie, Devin B., Andrew Reisner, & H. Harry Asada. (2008). Motion based adaptive calibration of pulse transit time measurements to arterial blood pressure for an autonomous, wearable blood pressure monitor. PubMed. 2008. 989–992. 21 indexed citations
9.
McCombie, Devin B., et al.. (2007). Adaptive hydrostatic blood pressure calibration: Development of a wearable, autonomous pulse wave velocity blood pressure monitor. Conference proceedings. 2007. 370–373. 34 indexed citations
10.
11.
McCombie, Devin B., et al.. (2006). Modeling and Observer Design for Polypyrrole Conducting Polymer Actuator Control Systems. 698. 432–436. 5 indexed citations
12.
13.
McCombie, Devin B., H. Harry Asada, & Andrew Reisner. (2005). Identification of Vascular Dynamics and Estimation of the Cardiac Output Waveform from Wearable PPG Sensors. PubMed. 2005. 3490–3. 17 indexed citations
14.
Asada, H. Harry, Andrew Reisner, P. Shaltis, & Devin B. McCombie. (2005). Towards the Development of Wearable Blood Pressure Sensors: A Photo-Plethysmograph Approach Using Conducting Polymer Actuators. PubMed. 2005. 4156–4159. 14 indexed citations
15.
McCombie, Devin B., Andrew Reisner, & H. Harry Asada. (2005). Laguerre-Model Blind System Identification: Cardiovascular Dynamics Estimated From Multiple Peripheral Circulatory Signals. IEEE Transactions on Biomedical Engineering. 52(11). 1889–1901. 30 indexed citations
16.
Reisner, Andrew, Devin B. McCombie, & H. Harry Asada. (2005). Estimation of cardiac output from peripheral pressure waveforms using Laguerre model blind system identification. PubMed. 3. 913–916. 2 indexed citations
17.
Hahn, Jin‐Oh, et al.. (2005). Adaptive Left Ventricular Ejection Time Estimation Using Multiple Peripheral Pressure Waveforms. PubMed. 4. 2383–2386. 5 indexed citations
18.
McCombie, Devin B., Andrew Reisner, & H. Harry Asada. (2005). Identification of cardiovascular dynamics from peripheral circulatory waveform signals using two sensor blind system I.D. PubMed. 3. 972–975. 3 indexed citations
19.
Reisner, Andrew, P. Shaltis, Devin B. McCombie, & H. Harry Asada. (2005). A critical appraisal of opportunities for wearable medical sensors. 3. 2149–2152. 4 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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