Minja Belić

733 total citations
10 papers, 537 citations indexed

About

Minja Belić is a scholar working on Neurology, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Minja Belić has authored 10 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Minja Belić's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Tactile and Sensory Interactions (4 papers) and Muscle activation and electromyography studies (4 papers). Minja Belić is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Tactile and Sensory Interactions (4 papers) and Muscle activation and electromyography studies (4 papers). Minja Belić collaborates with scholars based in Serbia, Spain and Germany. Minja Belić's co-authors include Milica Djurić-Jovičić, Vladimir Kostić, Matija Štrbac, Strahinja Došen, Thierry Keller, Dario Farina, Milica Badža Atanasijević, Igor Popović, Goran Bijelić and Milica Isaković and has published in prestigious journals such as Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Minja Belić

10 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minja Belić Serbia 9 298 263 141 141 45 10 537
Saara M. Rissanen Finland 14 321 1.1× 136 0.5× 147 1.0× 366 2.6× 50 1.1× 41 759
Hong Ji Lee South Korea 13 289 1.0× 156 0.6× 77 0.5× 194 1.4× 92 2.0× 18 569
Henry Shin United States 13 362 1.2× 178 0.7× 117 0.8× 61 0.4× 99 2.2× 33 490
G. Staude Germany 11 375 1.3× 321 1.2× 80 0.6× 76 0.5× 13 0.3× 35 659
E. Merlo Italy 6 415 1.4× 160 0.6× 113 0.8× 29 0.2× 24 0.5× 9 530
Ewa Jarocka Sweden 9 140 0.5× 190 0.7× 61 0.4× 27 0.2× 53 1.2× 10 386
Susanna Summa Italy 13 111 0.4× 87 0.3× 88 0.6× 175 1.2× 42 0.9× 28 455
D.M. Gillard Canada 8 316 1.1× 246 0.9× 137 1.0× 127 0.9× 10 0.2× 11 579
Christopher L. Pulliam United States 8 197 0.7× 136 0.5× 135 1.0× 238 1.7× 12 0.3× 15 423

Countries citing papers authored by Minja Belić

Since Specialization
Citations

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

Fields of papers citing papers by Minja Belić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minja Belić

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

All Works

10 of 10 papers shown
1.
2.
Malešević, Nebojša, et al.. (2020). Contactless Real-Time Heartbeat Detection via 24 GHz Continuous-Wave Doppler Radar Using Artificial Neural Networks. Sensors. 20(8). 2351–2351. 40 indexed citations
3.
Belić, Minja, et al.. (2019). Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review. Clinical Neurology and Neurosurgery. 184. 105442–105442. 129 indexed citations
4.
Štrbac, Matija, Milica Isaković, Minja Belić, et al.. (2017). Short- and Long-Term Learning of Feedforward Control of a Myoelectric Prosthesis with Sensory Feedback by Amputees. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(11). 2133–2145. 63 indexed citations
5.
Djurić-Jovičić, Milica, Minja Belić, Iva Stanković, Saša Radovanović, & Vladimir Kostić. (2017). Selection of gait parameters for differential diagnostics of patients with de novo Parkinson’s disease. Neurological Research. 39(10). 853–861. 28 indexed citations
6.
Štrbac, Matija, Minja Belić, Milica Isaković, et al.. (2016). Integrated and flexible multichannel interface for electrotactile stimulation. Journal of Neural Engineering. 13(4). 46014–46014. 81 indexed citations
7.
Isaković, Milica, Minja Belić, Matija Štrbac, et al.. (2016). Electrotactile feedback improves performance and facilitates learning in the routine grasping task. European Journal of Translational Myology. 26(3). 6069–6069. 36 indexed citations
8.
Djurić-Jovičić, Milica, Igor Petrović, Milica Ječmenica‐Lukić, et al.. (2016). Finger tapping analysis in patients with Parkinson’s disease and atypical parkinsonism. Journal of Clinical Neuroscience. 30. 49–55. 41 indexed citations
9.
Djurić-Jovičić, Milica, et al.. (2016). Finger and foot tapping sensor system for objective motor assessment. Vojnosanitetski pregled. 75(1). 68–77. 13 indexed citations
10.
Došen, Strahinja, Marko Marković, Matija Štrbac, et al.. (2016). Multichannel Electrotactile Feedback With Spatial and Mixed Coding for Closed-Loop Control of Grasping Force in Hand Prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(3). 183–195. 99 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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