Roman Kamnik

1.7k total citations
58 papers, 1.3k citations indexed

About

Roman Kamnik is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Roman Kamnik has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 19 papers in Control and Systems Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Roman Kamnik's work include Muscle activation and electromyography studies (22 papers), Robot Manipulation and Learning (17 papers) and Prosthetics and Rehabilitation Robotics (11 papers). Roman Kamnik is often cited by papers focused on Muscle activation and electromyography studies (22 papers), Robot Manipulation and Learning (17 papers) and Prosthetics and Rehabilitation Robotics (11 papers). Roman Kamnik collaborates with scholars based in Slovenia, Italy and Croatia. Roman Kamnik's co-authors include Tadej Bajd, Marko Munih, Karol O’Donovan, Derek T. O’Keeffe, G.M. Lyons, Marko Jankovec, Marko Topič, Nicola Vitiello, Maja Goršič and Drago Matko and has published in prestigious journals such as Journal of Biomechanics, Sensors and Automation in Construction.

In The Last Decade

Roman Kamnik

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Kamnik Slovenia 18 633 292 197 182 133 58 1.3k
Hossein Rouhani Canada 22 759 1.2× 163 0.6× 443 2.2× 96 0.5× 145 1.1× 103 1.6k
Salvatore Sessa Japan 16 339 0.5× 160 0.5× 81 0.4× 92 0.5× 122 0.9× 70 886
P. Slycke Netherlands 9 432 0.7× 374 1.3× 183 0.9× 91 0.5× 260 2.0× 17 1.1k
Wenlong Zhang United States 22 627 1.0× 92 0.3× 86 0.4× 352 1.9× 109 0.8× 112 1.3k
D. Roetenberg Netherlands 12 699 1.1× 639 2.2× 299 1.5× 154 0.8× 425 3.2× 16 1.8k
R. Ceres Spain 22 818 1.3× 104 0.4× 119 0.6× 378 2.1× 157 1.2× 85 1.8k
Adriano A. G. Siqueira Brazil 21 806 1.3× 107 0.4× 106 0.5× 469 2.6× 230 1.7× 129 1.6k
Markus Miezal Germany 12 415 0.7× 182 0.6× 233 1.2× 61 0.3× 78 0.6× 18 1.0k
Amir Shapiro Israel 18 591 0.9× 132 0.5× 233 1.2× 420 2.3× 168 1.3× 106 1.5k
Kyoko SHIBATA Japan 14 733 1.2× 100 0.3× 284 1.4× 82 0.5× 107 0.8× 82 971

Countries citing papers authored by Roman Kamnik

Since Specialization
Citations

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

Fields of papers citing papers by Roman Kamnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Kamnik

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

All Works

20 of 20 papers shown
1.
Bacher, Emmanuel, Roman Kamnik, Andrejs Ogurcovs, et al.. (2024). OptoSkin: Novel LIDAR Touch Sensors for Detection of Touch and Pressure Within Wave Guides. IEEE Sensors Journal. 24(20). 33268–33280. 4 indexed citations
2.
Musić, Josip, et al.. (2023). Strain Gauge Neural Network-Based Estimation as an Alternative for Force and Torque Sensor Measurements in Robot Manipulators. Applied Sciences. 13(18). 10217–10217. 3 indexed citations
3.
Kamnik, Roman, et al.. (2017). Compensation for Magnetic Disturbances in Motion Estimation to Provide Feedback to Wearable Robotic Systems. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(12). 2398–2406. 15 indexed citations
4.
Parri, Andrea, Joost Geeroms, Louis Flynn, et al.. (2017). Whole Body Awareness for Controlling a Robotic Transfemoral Prosthesis. Frontiers in Neurorobotics. 11. 25–25. 22 indexed citations
5.
Goršič, Maja, Joost Geeroms, Louis Flynn, et al.. (2014). CYBERLEGs: A User-Oriented Robotic Transfemoral Prosthesis with Whole-Body Awareness Control. IEEE Robotics & Automation Magazine. 21(4). 82–93. 52 indexed citations
6.
Kamnik, Roman, et al.. (2013). Kinematics based sensory fusion for wearable motion assessment in human walking. Computer Methods and Programs in Biomedicine. 116(2). 131–144. 51 indexed citations
7.
Kamnik, Roman, et al.. (2013). Asymmetry in sit-to-stand movement in patients following transtibial amputation and healthy individuals. International Journal of Rehabilitation Research. 36(3). 275–283. 17 indexed citations
8.
Kamnik, Roman, et al.. (2012). DIFFERENCES BETWEEN ELITE AND NOVICE ROWERS ON ERGOMETER. ISBS - Conference Proceedings Archive. 1(1). 1 indexed citations
9.
Kamnik, Roman, et al.. (2011). The measurement setup for real-time biomechanical analysis of rowing on an ergometer. Measurement. 44(10). 1819–1827. 14 indexed citations
10.
Kamnik, Roman, et al.. (2010). Comparison of Four Evaluation Approaches in Transcutaneous Electrical Nerve Stimulation Treatment in Two Incomplete Tetraplegic Subjects. Neuromodulation Technology at the Neural Interface. 13(3). 238–245. 2 indexed citations
12.
Kamnik, Roman, et al.. (2008). Design and Evaluation of a Functional Electrical Stimulation System for Hand Sensorimotor Augmentation. Neuromodulation Technology at the Neural Interface. 11(3). 208–215. 4 indexed citations
13.
Musić, Josip, et al.. (2008). Human body model based inertial measurement of sit-to-stand motion kinematics. WSEAS TRANSACTIONS on SYSTEMS archive. 7(3). 156–164. 7 indexed citations
14.
Kamnik, Roman, Jian Qing Shi, Roderick Murray‐Smith, & Tadej Bajd. (2005). Nonlinear modeling of FES-supported standing-up in paraplegia for selection of feedback sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 13(1). 40–52. 26 indexed citations
15.
Kamnik, Roman & Tadej Bajd. (2004). Standing-up robot: an assistive rehabilitative device for training and assessment. Journal of Medical Engineering & Technology. 28(2). 74–80. 41 indexed citations
16.
Kurillo, Gregorij, Tadej Bajd, & Roman Kamnik. (2003). Static Analysis of Nippers Pinch. Neuromodulation Technology at the Neural Interface. 6(3). 166–175. 8 indexed citations
17.
Matko, Drago, Roman Kamnik, & Tadej Bajd. (2003). Adaptive impedance force control of an industrial manipulator. 1. 129–133. 5 indexed citations
18.
Kamnik, Roman, et al.. (2002). Paraplegics standing up using multichannel FES and arm support. Journal of Medical Engineering & Technology. 26(3). 106–110. 9 indexed citations
19.
Davoodi, Rahman, Roman Kamnik, Brian Andrews, & Tadej Bajd. (2001). Predicting the voluntary arm forces in FES-assisted standing up using neural networks. Biological Cybernetics. 85(2). 133–143. 1 indexed citations
20.
Kamnik, Roman, Tadej Bajd, & A. Kralj. (1999). Functional Electrical Stimulation and Arm Supported Sit‐To‐Stand Transfer After Paraplegia: A Study of Kinetic Parameters. Artificial Organs. 23(5). 413–417. 25 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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