Dean M. Karantonis

2.4k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Dean M. Karantonis is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Dean M. Karantonis has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Anesthesiology and Pain Medicine. Recurrent topics in Dean M. Karantonis's work include Mechanical Circulatory Support Devices (11 papers), Pain Management and Treatment (6 papers) and Transcranial Magnetic Stimulation Studies (5 papers). Dean M. Karantonis is often cited by papers focused on Mechanical Circulatory Support Devices (11 papers), Pain Management and Treatment (6 papers) and Transcranial Magnetic Stimulation Studies (5 papers). Dean M. Karantonis collaborates with scholars based in Australia, United States and Italy. Dean M. Karantonis's co-authors include Nigel H. Lovell, Michael R. Narayanan, M. Mathie, Branko G. Celler, John L. Parker, D. G. Mason, Peter Single, Shaun L. Cloherty, Peter Ayre and Milan Obradović and has published in prestigious journals such as Pain, IEEE Transactions on Biomedical Engineering and Physiological Measurement.

In The Last Decade

Dean M. Karantonis

20 papers receiving 1.3k 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.

Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring

2006 931 citations Dean M. Karantonis, Michael R. Narayanan et al. IEEE Transactions on Information Technology in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dean M. Karantonis Australia	13	790	654	205	163	162	20	1.4k
Bor-Shing Lin Taiwan	18	378 0.5×	198 0.3×	122 0.6×	72 0.4×	127 0.8×	106	1.3k
Laurence Kenney United Kingdom	26	1.8k 2.3×	641 1.0×	157 0.8×	120 0.7×	168 1.0×	111	2.8k
Anisoara Paraschiv-Ionescu Switzerland	21	696 0.9×	501 0.8×	76 0.4×	82 0.5×	102 0.6×	53	1.7k
Adriano de Oliveira Andrade Brazil	23	684 0.9×	145 0.2×	48 0.2×	26 0.2×	103 0.6×	147	2.2k
Thomas Schauer Germany	25	1.7k 2.1×	143 0.2×	163 0.8×	45 0.3×	236 1.5×	153	2.8k
Jeroen Bergmann United Kingdom	18	619 0.8×	150 0.2×	114 0.6×	33 0.2×	272 1.7×	89	1.3k
Andrea Mannini Italy	25	1.2k 1.5×	845 1.3×	215 1.0×	173 1.1×	96 0.6×	108	2.5k
Marco Knaflitz Italy	33	2.8k 3.5×	184 0.3×	127 0.6×	49 0.3×	255 1.6×	132	3.8k
Ming-Chun Huang United States	24	1.0k 1.3×	428 0.7×	267 1.3×	125 0.8×	79 0.5×	92	2.0k
Wiebe de Vries Netherlands	18	461 0.6×	175 0.3×	105 0.5×	38 0.2×	226 1.4×	52	1.5k

Countries citing papers authored by Dean M. Karantonis

Since Specialization

Citations

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

Fields of papers citing papers by Dean M. Karantonis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean M. Karantonis. 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 Dean M. Karantonis. The network helps show where Dean M. Karantonis may publish in the future.

Co-authorship network of co-authors of Dean M. Karantonis

This figure shows the co-authorship network connecting the top 25 collaborators of Dean M. Karantonis. A scholar is included among the top collaborators of Dean M. Karantonis 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 Dean M. Karantonis. Dean M. Karantonis 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

Pope, Jason E., Ajay Antony, Erika Petersen, et al.. (2024). Identifying SCS Trial Responders Immediately After Postoperative Programming with ECAP Dose-Controlled Closed-Loop Therapy. Pain and Therapy. 13(5). 1173–1185. 1 indexed citations

Pope, Jason E., Paul Verrills, Erika Petersen, et al.. (2024). First evidence of a biomarker-based dose-response relationship in chronic pain using physiological closed-loop spinal cord stimulation. Regional Anesthesia & Pain Medicine. 50(4). 345–351. 8 indexed citations

Parker, John L., Dean M. Karantonis, & Peter Single. (2020). Hypothesis for the mechanism of action of ECAP‐controlled closed‐loop systems for spinal cord stimulation. Healthcare Technology Letters. 7(3). 76–80. 16 indexed citations

Parker, John L., Milan Obradović, Nastaran Hesam Shariati, et al.. (2019). Evoked Compound Action Potentials Reveal Spinal Cord Dorsal Column Neuroanatomy. Neuromodulation Technology at the Neural Interface. 23(1). 82–95. 22 indexed citations

Parker, John L., Nastaran Hesam Shariati, & Dean M. Karantonis. (2017). Electrically Evoked Compound Action Potential Recording in Peripheral Nerves. 1(1). 71–83. 53 indexed citations

Parker, John L., Dean M. Karantonis, Peter Single, et al.. (2013). Electrically Evoked Compound Action Potentials Recorded From the Sheep Spinal Cord. Neuromodulation Technology at the Neural Interface. 16(4). 295–303. 46 indexed citations

Parker, John L., Dean M. Karantonis, Peter Single, Milan Obradović, & Michael J. Cousins. (2011). Compound action potentials recorded in the human spinal cord during neurostimulation for pain relief. Pain. 153(3). 593–601. 94 indexed citations

Karantonis, Dean M., Einly Lim, D. G. Mason, et al.. (2010). Noninvasive Activity‐based Control of an Implantable Rotary Blood Pump: Comparative Software Simulation Study. Artificial Organs. 34(2). E34–45. 21 indexed citations

Alomari, Abdul‐Hakeem H., Andrey V. Savkin, Dean M. Karantonis, Einly Lim, & Nigel H. Lovell. (2009). Non-invasive estimation of pulsatile flow and differential pressure in an implantable rotary blood pump for heart failure patients. Physiological Measurement. 30(4). 371–386. 33 indexed citations

10.

Alomari, Abdul‐Hakeem H., et al.. (2009). A DYNAMICAL MODEL FOR PULSATILE FLOW ESTIMATION IN A LEFT VENTRICULAR ASSIST DEVICE. 402–405. 1 indexed citations

11.

Lim, Einly, Dean M. Karantonis, John Reizes, et al.. (2008). Noninvasive Average Flow and Differential Pressure Estimation for an Implantable Rotary Blood Pump Using Dimensional Analysis. IEEE Transactions on Biomedical Engineering. 55(8). 2094–2101. 25 indexed citations

12.

Karantonis, Dean M., Shaun L. Cloherty, Nigel H. Lovell, et al.. (2008). NONINVASIVE DETECTION OF SUCTION IN AN IMPLANTABLE ROTARY BLOOD PUMP USING NEURAL NETWORKS. International Journal of Computational Intelligence and Applications. 7(3). 237–247. 16 indexed citations

13.

Lim, Einly, Shaun L. Cloherty, John Reizes, et al.. (2007). A Dynamic Lumped Parameter Model of the Left Ventricular Assisted Circulation. Conference proceedings. 2007. 3990–3993. 12 indexed citations

14.

Karantonis, Dean M., D. G. Mason, Robert F. Salamonsen, et al.. (2007). Classification of Physiologically Significant Pumping States in an Implantable Rotary Blood Pump: Patient Trial Results. ASAIO Journal. 53(5). 617–622. 13 indexed citations

15.

Karantonis, Dean M., Nigel H. Lovell, Peter Ayre, D. G. Mason, & Shaun L. Cloherty. (2007). Classification of Physiologically Significant Pumping States in an Implantable Rotary Blood Pump: Effects of Cardiac Rhythm Disturbances. Artificial Organs. 31(6). 476–479. 8 indexed citations

16.

Karantonis, Dean M., Shaun L. Cloherty, D. G. Mason, Peter Ayre, & Nigel H. Lovell. (2007). Noninvasive Pulsatile Flow Estimation for an Implantable Rotary Blood Pump. Conference proceedings. 2007. 1018–1021. 11 indexed citations

17.

Karantonis, Dean M., Shaun L. Cloherty, D. G. Mason, et al.. (2006). Automated Non-invasive Detection of Pumping States in an Implantable Rotary Blood Pump. PubMed. 31. 5386–5389. 9 indexed citations

18.

Karantonis, Dean M., Shaun L. Cloherty, Peter Ayre, et al.. (2006). Noninvasive Average Flow Estimation for an Implantable Rotary Blood Pump: A New Algorithm Incorporating the Role of Blood Viscosity. Artificial Organs. 31(1). 45–52. 40 indexed citations

19.

Karantonis, Dean M., Michael R. Narayanan, M. Mathie, Nigel H. Lovell, & Branko G. Celler. (2006). Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring. IEEE Transactions on Information Technology in Biomedicine. 10(1). 156–167. 931 indexed citations breakdown →

20.

Karantonis, Dean M., Nigel H. Lovell, Peter Ayre, D. G. Mason, & Shaun L. Cloherty. (2006). Identification and Classification of Physiologically Significant Pumping States in an Implantable Rotary Blood Pump. Artificial Organs. 30(9). 671–679. 46 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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