Vojko Glaser

498 total citations
14 papers, 344 citations indexed

About

Vojko Glaser is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Vojko Glaser has authored 14 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 10 papers in Biomedical Engineering and 9 papers in Cognitive Neuroscience. Recurrent topics in Vojko Glaser's work include Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Vojko Glaser is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Vojko Glaser collaborates with scholars based in Slovenia, Spain and Denmark. Vojko Glaser's co-authors include Aleš Holobar, Aleš Holobar, Damjan Zazula, Dario Farina, Juan Álvaro Gallego, Jakob Lund Dideriksen, Julián Benito‐León, Eduardo Rocón, Juan Pablo Romero and José L. Pons and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Vojko Glaser

14 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vojko Glaser Slovenia	8	292	238	172	51	20	14	344
Zoia C. Lateva United States	12	473 1.6×	296 1.2×	238 1.4×	43 0.8×	23 1.1×	19	550
M.A. Minetto Italy	6	268 0.9×	184 0.8×	104 0.6×	26 0.5×	6 0.3×	6	388
Helene G. Moorman United States	11	149 0.5×	579 2.4×	380 2.2×	22 0.4×	12 0.6×	15	627
Maoqi Chen China	11	461 1.6×	342 1.4×	182 1.1×	31 0.6×	52 2.6×	36	522
Mónica Rojas-Martínez Spain	13	382 1.3×	250 1.1×	126 0.7×	18 0.4×	6 0.3×	30	503
John Head United Kingdom	9	222 0.8×	90 0.4×	89 0.5×	27 0.5×	6 0.3×	21	332
Tamás Kapelner Germany	6	445 1.5×	322 1.4×	258 1.5×	6 0.1×	11 0.6×	6	497
E. Schulte Germany	10	297 1.0×	133 0.6×	105 0.6×	11 0.2×	5 0.3×	12	389
John McLinden United States	9	69 0.2×	178 0.7×	64 0.4×	31 0.6×	10 0.5×	28	265
Guillermo Asín-Prieto Spain	7	211 0.7×	149 0.6×	76 0.4×	15 0.3×	12 0.6×	20	306

Countries citing papers authored by Vojko Glaser

Since Specialization

Citations

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

Fields of papers citing papers by Vojko Glaser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vojko Glaser

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

All Works

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14 of 14 papers shown

Glaser, Vojko, et al.. (2018). Comparison of Convolutive Kernel Compensation and Non-Negative Matrix Factorization of Surface Electromyograms. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(10). 1935–1944. 8 indexed citations

Holobar, Aleš, Juan Álvaro Gallego, Eduardo Rocón, et al.. (2018). Motor Unit-Driven Identification of Pathological Tremor in Electroencephalograms. Frontiers in Neurology. 9. 879–879. 8 indexed citations

Glaser, Vojko & Aleš Holobar. (2018). Motor Unit Identification From High-Density Surface Electromyograms in Repeated Dynamic Muscle Contractions. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(1). 66–75. 65 indexed citations

Povalej, Petra, Juan Álvaro Gallego, Juan Pablo Romero, et al.. (2017). New Perspectives for Computer-Aided Discrimination of Parkinson’s Disease and Essential Tremor. Complexity. 2017. 1–17. 14 indexed citations

Glaser, Vojko, Dario Farina, & Aleš Holobar. (2017). Simulations of high-density surface electromyograms in dynamic muscle contractions. PubMed. 2017. 3453–3456. 7 indexed citations

Glaser, Vojko & Aleš Holobar. (2017). On the impact of spike segmentation on motor unit identification in dynamic surface electromyograms. PubMed. 2017. 430–433. 8 indexed citations

Glaser, Vojko & Aleš Holobar. (2017). Impact of motor unit action potential components on the motor unit identification from dynamic high-density surface electromyograms. 90–93. 4 indexed citations

Glaser, Vojko, et al.. (2017). Comparison of non-negative matrix factorization and convolution kernel compensation in surface electromyograms of forearm muscles. 1–5. 1 indexed citations

Glaser, Vojko, et al.. (2016). Decomposition of surface electromyograms reveals changes in motor control after 14-day bed rest. 35. 1–6. 1 indexed citations

10.

Gallego, Juan Álvaro, Jakob Lund Dideriksen, Aleš Holobar, et al.. (2015). The Phase Difference Between Neural Drives to Antagonist Muscles in Essential Tremor Is Associated with the Relative Strength of Supraspinal and Afferent Input. Journal of Neuroscience. 35(23). 8925–8937. 53 indexed citations

11.

Glaser, Vojko, Aleš Holobar, & Damjan Zazula. (2013). Real-Time Motor Unit Identification From High-Density Surface EMG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(6). 949–958. 106 indexed citations

12.

Holobar, Aleš, Vojko Glaser, Juan Álvaro Gallego, Jakob Lund Dideriksen, & Dario Farina. (2012). Non-invasive characterization of motor unit behaviour in pathological tremor. Journal of Neural Engineering. 9(5). 56011–56011. 65 indexed citations

13.

Holobar, Aleš, Vojko Glaser, Juan Álvaro Gallego, Jakob Lund Dideriksen, & Dario Farina. (2011). Noninvasive analysis of motor unit behavior in pathological tremor. PubMed. 70. 7512–7515. 3 indexed citations

14.

Glaser, Vojko, Lonnie C. Ludeman, Aleš Holobar, & Damjan Zazula. (2008). Sequential convolution kernel compensation with block input. 140–144. 1 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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