Ivan Gligorijević

843 total citations
23 papers, 566 citations indexed

About

Ivan Gligorijević is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ivan Gligorijević has authored 23 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Biomedical Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ivan Gligorijević's work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (5 papers) and Human-Automation Interaction and Safety (5 papers). Ivan Gligorijević is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (5 papers) and Human-Automation Interaction and Safety (5 papers). Ivan Gligorijević collaborates with scholars based in Belgium, Serbia and Netherlands. Ivan Gligorijević's co-authors include Maarten De Vos, Bogdan Mijović, Joachim Taelman, Sabine Van Huffel, Sabine Van Huffel, A. Spaepen, Pavle Mijović, Steven Vandeput, Dimiter Prodanov and Carmen Bartic and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Behavioural Brain Research and Muscle & Nerve.

In The Last Decade

Ivan Gligorijević

22 papers receiving 544 citations

Peers

Ivan Gligorijević

CCM

CMN

Md. Kafiul Islam Bangladesh

Jinwei Sun China

Tohid Yousefi Rezaii Iran

Xueyuan Xu China

Agustina Garcés Correa Argentina

Michael Ungstrup United Kingdom

Chongxun Zheng China

Young-Seok Choi South Korea

Radu Ranta France

J. P. C. de Weerd Netherlands

Md. Kafiul Islam Bangladesh

Ivan Gligorijević

565 ×2.3

203 ×0.9

175 ×1.3

129 ×1.1

CCM

106 ×1.4

CMN

Citations per year, relative to Ivan Gligorijević Ivan Gligorijević (= 1×) peers Md. Kafiul Islam

Countries citing papers authored by Ivan Gligorijević

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Gligorijević

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Gligorijević

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Gligorijević. A scholar is included among the top collaborators of Ivan Gligorijević 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 Ivan Gligorijević. Ivan Gligorijević 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

Gianini, Gabriele, et al.. (2024). Neuroergonomic Attention Assessment in Safety-Critical Tasks: EEG Indices and Subjective Metrics Validation in a Novel Task-Embedded Reaction Time Paradigm. Brain Sciences. 14(10). 1009–1009.

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

Mijović, Pavle, Vanja Ković, Maarten De Vos, et al.. (2016). Towards continuous and real-time attention monitoring at work: reaction time versus brain response. Ergonomics. 60(2). 241–254. 19 indexed citations

Mijović, Pavle, Vanja Ković, Maarten De Vos, et al.. (2016). Benefits of Instructed Responding in Manual Assembly Tasks: An ERP Approach. Frontiers in Human Neuroscience. 10. 171–171. 9 indexed citations

Mijović, Pavle, Vanja Ković, Ivan Mačužić, et al.. (2015). Do Micro-Breaks Increase the Attention Level of an Assembly Worker? An ERP Study. Procedia Manufacturing. 3. 5074–5080. 12 indexed citations

Sleutjes, Boudewijn T.H.M., et al.. (2015). Identifying fasciculation potentials in motor neuron disease: A matter of probability. Muscle & Nerve. 53(2). 227–233. 8 indexed citations

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

Mijović, Pavle, Evanthia Giagloglou, P. Todorović, et al.. (2014). A Tool for Neuroergonomic Study of Repetitive Operational Tasks. 72. 1–2. 7 indexed citations

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

10.

Vos, Maarten De, et al.. (2013). Multi-structural Signal Recovery for Biomedical Compressive Sensing. IEEE Transactions on Biomedical Engineering. 60(10). 2794–2805. 29 indexed citations

11.

López, Carolina Mora, Dimiter Prodanov, Dries Braeken, et al.. (2012). A Multichannel Integrated Circuit for Electrical Recording of Neural Activity, With Independent Channel Programmability. IEEE Transactions on Biomedical Circuits and Systems. 6(2). 101–110. 50 indexed citations

12.

Liu, Yipeng, et al.. (2012). Multi-sparse signal recovery for compressive sensing. PubMed. 101. 1053–1056. 6 indexed citations

13.

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

14.

Welkenhuysen, Marleen, Ivan Gligorijević, Lieveke Ameye, et al.. (2012). Neuronal activity in the bed nucleus of the stria terminalis in a rat model for obsessive–compulsive disorder. Behavioural Brain Research. 240. 52–59. 6 indexed citations

15.

Koolen, Ninah, Ivan Gligorijević, & Sabine Van Huffel. (2012). RELIABILITY OF STATISTICAL FEATURES DESCRIBING NEURAL SPIKE TRAINS IN THE PRESENCE OF CLASSIFICATION ERRORS. 169–173. 1 indexed citations

16.

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

17.

Taelman, Joachim, Steven Vandeput, Ivan Gligorijević, A. Spaepen, & Sabine Van Huffel. (2011). Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment. PubMed. 2011. 1973–1976. 40 indexed citations

18.

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

19.

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

20.

Gligorijević, Ivan, Marleen Welkenhuysen, William Eberle, et al.. (2010). Statistical analysis of neural spike trains for evaluation of functional differences in brain activity. 3 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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