Bogdan Mijović

1.4k total citations
26 papers, 989 citations indexed

About

Bogdan Mijović is a scholar working on Cognitive Neuroscience, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Bogdan Mijović has authored 26 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 8 papers in Biomedical Engineering. Recurrent topics in Bogdan Mijović's work include EEG and Brain-Computer Interfaces (15 papers), Neural dynamics and brain function (8 papers) and Blind Source Separation Techniques (8 papers). Bogdan Mijović is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Neural dynamics and brain function (8 papers) and Blind Source Separation Techniques (8 papers). Bogdan Mijović collaborates with scholars based in Belgium, Germany and Netherlands. Bogdan Mijović's co-authors include Maarten De Vos, Ivan Gligorijević, Joachim Taelman, Sabine Van Huffel, Sabine Van Huffel, Pavle Mijović, David Guiraud, Francesco M. Petrini, Aleksandar Lešić and Giacomo Valle and has published in prestigious journals such as Nature Medicine, PLoS ONE and NeuroImage.

In The Last Decade

Bogdan Mijović

25 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bogdan Mijović Belgium 13 511 312 292 179 96 26 989
Beth Jelfs United Kingdom 15 339 0.7× 383 1.2× 127 0.4× 178 1.0× 38 0.4× 47 892
Loukianos Spyrou United Kingdom 12 464 0.9× 120 0.4× 192 0.7× 76 0.4× 64 0.7× 30 627
Denis Delisle-Rodríguez Brazil 16 411 0.8× 274 0.9× 66 0.2× 163 0.9× 85 0.9× 68 712
Jorge Bohórquez United States 17 681 1.3× 129 0.4× 179 0.6× 146 0.8× 46 0.5× 71 1.1k
Tiejun Liu China 19 1.0k 2.1× 79 0.3× 199 0.7× 325 1.8× 66 0.7× 71 1.2k
Tianyou Yu China 24 1.8k 3.5× 156 0.5× 230 0.8× 924 5.2× 101 1.1× 70 2.0k
Yin Tian China 21 985 1.9× 66 0.2× 181 0.6× 93 0.5× 118 1.2× 96 1.4k
Mehmet Akın Türkiye 14 710 1.4× 232 0.7× 271 0.9× 71 0.4× 253 2.6× 25 1.1k
Eric Laciar Argentina 18 996 1.9× 227 0.7× 309 1.1× 289 1.6× 381 4.0× 61 1.3k
Berdakh Abibullaev Kazakhstan 15 623 1.2× 244 0.8× 77 0.3× 165 0.9× 144 1.5× 56 787

Countries citing papers authored by Bogdan Mijović

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Mijović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Mijović

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Mijović. A scholar is included among the top collaborators of Bogdan Mijović 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 Bogdan Mijović. Bogdan Mijović 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.
Gligorijević, Ivan, et al.. (2024). Mental Workload Classification and Tasks Detection in Multitasking: Deep Learning Insights from EEG Study. Brain Sciences. 14(2). 149–149. 11 indexed citations
2.
Petrini, Francesco M., Marko Bumbaširević, Giacomo Valle, et al.. (2019). Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain. Nature Medicine. 25(9). 1356–1363. 172 indexed citations
3.
Petrini, Francesco M., Giacomo Valle, Marko Bumbaširević, et al.. (2019). Enhancing functional abilities and cognitive integration of the lower limb prosthesis. Science Translational Medicine. 11(512). 186 indexed citations
4.
Sleutjes, Boudewijn T.H.M., Maarten De Vos, Joleen H. Blok, et al.. (2014). Motor Unit Tracking Using High Density Surface Electromyography (HDsEMG). Methods of Information in Medicine. 54(3). 221–226. 2 indexed citations
5.
Strobbe, Gregor, Pieter van Mierlo, Maarten De Vos, et al.. (2014). Multiple sparse volumetric priors for distributed EEG source reconstruction. NeuroImage. 100. 715–724. 5 indexed citations
6.
Strobbe, Gregor, Pieter van Mierlo, Maarten De Vos, et al.. (2014). Bayesian model selection of template forward models for EEG source reconstruction. NeuroImage. 93. 11–22. 18 indexed citations
7.
Hunyadi, Borbála, Simon Tousseyn, Bogdan Mijović, et al.. (2013). ICA Extracts Epileptic Sources from fMRI in EEG-Negative Patients: A Retrospective Validation Study. PLoS ONE. 8(11). e78796–e78796. 25 indexed citations
8.
Gligorijević, Ivan, Johannes van Dijk, Bogdan Mijović, et al.. (2013). A new and fast approach towards sEMG decomposition. Medical & Biological Engineering & Computing. 51(5). 593–605. 20 indexed citations
9.
Mijović, Bogdan, Maarten De Vos, Katrien Vanderperren, et al.. (2013). The dynamics of contour integration: A simultaneous EEG–fMRI study. NeuroImage. 88. 10–21. 34 indexed citations
10.
Strobbe, Gregor, José David López, Pieter van Mierlo, et al.. (2012). Comparison of BEM and FDM head modeling in SPM for EEG source reconstruction based on free energy. Ghent University Academic Bibliography (Ghent University).
11.
Gligorijević, Ivan, Boudewijn T.H.M. Sleutjes, Maarten De Vos, et al.. (2012). Correcting electrode displacement errors in motor unit tracking using high density surface electromyography (HDsEMG). Methods of Information in Medicine. 1–4. 1 indexed citations
12.
Vanderperren, Katrien, Bogdan Mijović, Nikolay Novitskiy, et al.. (2012). Single trial ERP reading based on parallel factor analysis. Psychophysiology. 50(1). 97–110. 28 indexed citations
13.
Mijović, Bogdan, Katrien Vanderperren, Nikolay Novitskiy, et al.. (2012). The “why” and “how” of JointICA: Results from a visual detection task. NeuroImage. 60(2). 1171–1185. 44 indexed citations
14.
Gligorijević, Ivan, Maarten De Vos, Joleen H. Blok, et al.. (2011). Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG. PubMed. 80. 4090–4093. 4 indexed citations
15.
Mijović, Bogdan, et al.. (2011). Independent component analysis as a preprocessing step for data compression of neonatal EEG. PubMed. 3. 7316–7319. 9 indexed citations
16.
Novitskiy, Nikolay, Jennifer R. Ramautar, Katrien Vanderperren, et al.. (2010). The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task. NeuroImage. 54(2). 824–835. 57 indexed citations
17.
Mijović, Bogdan, Maarten De Vos, Ivan Gligorijević, Joachim Taelman, & Sabine Van Huffel. (2010). Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis. IEEE Transactions on Biomedical Engineering. 57(9). 2188–2196. 289 indexed citations
18.
Allegaert, Karel, et al.. (2010). Assessment of Pain Expression in Infant Cry Signals Using Empirical Mode Decomposition. Methods of Information in Medicine. 49(5). 448–452. 12 indexed citations
19.
Silva, Mitchell, Bogdan Mijović, Bea Van den Bergh, et al.. (2010). Decoupling between fundamental frequency and energy envelope of neonate cries. Early Human Development. 86(1). 35–40. 8 indexed citations
20.
Mijović, Bogdan, Maarten De Vos, Ivan Gligorijević, & Sabine Van Huffel. (2010). Combining EMD with ICA for extracting independent sources from single channel and two-channel data. PubMed. 2010. 5387–5390. 13 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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