Michael R. Narayanan

2.5k total citations · 1 hit paper
29 papers, 1.9k citations indexed

About

Michael R. Narayanan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Michael R. Narayanan has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Biomedical Engineering and 14 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Michael R. Narayanan's work include Context-Aware Activity Recognition Systems (16 papers), Balance, Gait, and Falls Prevention (14 papers) and Non-Invasive Vital Sign Monitoring (9 papers). Michael R. Narayanan is often cited by papers focused on Context-Aware Activity Recognition Systems (16 papers), Balance, Gait, and Falls Prevention (14 papers) and Non-Invasive Vital Sign Monitoring (9 papers). Michael R. Narayanan collaborates with scholars based in Australia, United Arab Emirates and Italy. Michael R. Narayanan's co-authors include Nigel H. Lovell, Branko G. Celler, M. Mathie, Dean M. Karantonis, Stephen J. Redmond, Tal Shany, S. Cerutti, Federico Bianchi, Stephen R. Lord and Changhong Wang and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Industrial Informatics and IEEE Sensors Journal.

In The Last Decade

Michael R. Narayanan

28 papers receiving 1.8k 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
Michael R. Narayanan Australia	16	1.2k	1.0k	446	313	275	29	1.9k
M. Mathie Australia	10	1.4k 1.1×	1.2k 1.2×	469 1.1×	332 1.1×	268 1.0×	12	2.4k
Andrea Mannini Italy	25	845 0.7×	1.2k 1.2×	445 1.0×	173 0.6×	215 0.8×	108	2.5k
Laurence Kenney United Kingdom	26	641 0.5×	1.8k 1.8×	473 1.1×	120 0.4×	157 0.6×	111	2.8k
Anthony Fleury France	19	963 0.8×	475 0.5×	213 0.5×	345 1.1×	354 1.3×	69	1.8k
Dean M. Karantonis Australia	13	654 0.5×	790 0.8×	147 0.3×	163 0.5×	205 0.7×	20	1.4k
Alan Bourke Ireland	25	2.5k 2.0×	2.0k 1.9×	1.0k 2.3×	533 1.7×	311 1.1×	66	3.5k
Frank Knoefel Canada	24	506 0.4×	650 0.6×	322 0.7×	158 0.5×	167 0.6×	185	2.2k
Norbert Noury France	27	2.0k 1.7×	1.3k 1.2×	343 0.8×	639 2.0×	586 2.1×	104	3.2k
Pepijn Van de Ven Ireland	20	575 0.5×	472 0.5×	225 0.5×	226 0.7×	284 1.0×	79	1.6k
Samer Mohammed France	24	660 0.5×	1.7k 1.7×	180 0.4×	196 0.6×	144 0.5×	90	2.6k

Countries citing papers authored by Michael R. Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Michael R. Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Narayanan. A scholar is included among the top collaborators of Michael R. Narayanan 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 Michael R. Narayanan. Michael R. Narayanan 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

Wang, Changhong, Wei Lü, Michael R. Narayanan, et al.. (2016). Low-Power Fall Detector Using Triaxial Accelerometry and Barometric Pressure Sensing. IEEE Transactions on Industrial Informatics. 12(6). 2302–2311. 50 indexed citations

Wang, Changhong, Michael R. Narayanan, Stephen R. Lord, Stephen J. Redmond, & Nigel H. Lovell. (2014). A low-power fall detection algorithm based on triaxial acceleration and barometric pressure. PubMed. 2014. 570–573. 13 indexed citations

Narayanan, Michael R., Hasan Al‐Nashash, Dipankar Pal, & Mahesh Chandra. (2013). Thermal model of MOSFET with SELBOX structure. Journal of Computational Electronics. 12(4). 803–811. 16 indexed citations

Redmond, Stephen J., et al.. (2013). Design of an unobtrusive system for fall detection in multiple occupancy residences. PubMed. 2008. 4690–4693. 8 indexed citations

Wang, Jingjing, Stephen J. Redmond, Michael R. Narayanan, et al.. (2012). Energy expenditure estimation during normal ambulation using triaxial accelerometry and barometric pressure. Physiological Measurement. 33(11). 1811–1830. 14 indexed citations

Narayanan, Michael R., Hasan Al‐Nashash, Dipankar Pal, & Mahesh Chandra. (2012). Frequency response of MOS devices with SELBOX structure. 1099–1102. 5 indexed citations

Liu, Ying, Stephen J. Redmond, Michael R. Narayanan, & Nigel H. Lovell. (2011). Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based system. PubMed. 2011. 1499–1502. 18 indexed citations

Narayanan, Michael R., et al.. (2011). Design of an unobtrusive wireless sensor network for nighttime falls detection. PubMed. 2011. 5275–5278. 23 indexed citations

Shany, Tal, Stephen J. Redmond, Michael R. Narayanan, & Nigel H. Lovell. (2011). Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls. IEEE Sensors Journal. 12(3). 658–670. 213 indexed citations

10.

Liu, Ying, et al.. (2011). Spectral Analysis of Accelerometry Signals From a Directed-Routine for Falls-Risk Estimation. IEEE Transactions on Biomedical Engineering. 58(8). 2308–2315. 38 indexed citations

11.

Redmond, Stephen J., et al.. (2010). Automatic segmentation of triaxial accelerometry signals for falls risk estimation. PubMed. 2010. 2234–2237. 15 indexed citations

12.

Bianchi, Federico, Stephen J. Redmond, Michael R. Narayanan, S. Cerutti, & Nigel H. Lovell. (2010). Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 18(6). 619–627. 220 indexed citations

13.

Narayanan, Michael R., et al.. (2009). Evaluation of functional deficits and falls risk in the elderly – methods for preventing falls. PubMed. 2009. 6179–6182. 8 indexed citations

14.

Bianchi, Federico, Stephen J. Redmond, Michael R. Narayanan, et al.. (2009). Falls event detection using triaxial accelerometry and barometric pressure measurement. PubMed. 2009. 6111–6114. 27 indexed citations

15.

Narayanan, Michael R., et al.. (2009). Longitudinal Falls-Risk Estimation Using Triaxial Accelerometry. IEEE Transactions on Biomedical Engineering. 57(3). 534–541. 74 indexed citations

16.

Zhang, James, et al.. (2008). A health monitoring and evaluation system for assessing care needs of residents in aged-care facilities. 414–418. 5 indexed citations

17.

Narayanan, Michael R., Hasan Al‐Nashash, B. Mazhari, & Dipankar Pal. (2008). Studies and minimization of kink effect in SOI MOSFET devices with SELBOX structure. 232–235. 8 indexed citations

18.

Narayanan, Michael R., et al.. (2008). A wearable triaxial accelerometry system for longitudinal assessment of falls risk. PubMed. 2008. 2840–2843. 27 indexed citations

19.

Narayanan, Michael R., Stephen R. Lord, Marc M. Budge, Branko G. Celler, & Nigel H. Lovell. (2007). Falls Management: Detection and Prevention, using a Waist-mounted Triaxial Accelerometer. Conference proceedings. 2007. 4037–4040. 43 indexed citations

20.

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 →

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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