Ignas Martišius

505 total citations
12 papers, 334 citations indexed

About

Ignas Martišius is a scholar working on Cognitive Neuroscience, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Ignas Martišius has authored 12 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Signal Processing and 3 papers in Biomedical Engineering. Recurrent topics in Ignas Martišius's work include EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (6 papers) and Neuroscience and Neural Engineering (2 papers). Ignas Martišius is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (6 papers) and Neuroscience and Neural Engineering (2 papers). Ignas Martišius collaborates with scholars based in Lithuania, Spain and Poland. Ignas Martišius's co-authors include Robertas Damaševičius, Rytis Maskeliūnas, Vacius Jusas and Marcin Woźniak and has published in prestigious journals such as PeerJ, Computational Intelligence and Neuroscience and Computer Science and Information Systems.

In The Last Decade

Ignas Martišius

12 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignas Martišius Lithuania	7	268	83	73	60	48	12	334
Phairot Autthasan Thailand	6	313 1.2×	83 1.0×	73 1.0×	65 1.1×	75 1.6×	13	381
Rattanaphon Chaisaen Thailand	5	272 1.0×	68 0.8×	65 0.9×	64 1.1×	67 1.4×	8	367
Phattarapong Sawangjai Thailand	6	299 1.1×	58 0.7×	76 1.0×	55 0.9×	39 0.8×	10	402
Fatemeh Fahimi Singapore	5	344 1.3×	92 1.1×	96 1.3×	62 1.0×	93 1.9×	11	420
Xiangmin Lun China	6	313 1.2×	127 1.5×	62 0.8×	83 1.4×	101 2.1×	17	384
Sepideh Hajipour Sardouie Iran	10	261 1.0×	74 0.9×	114 1.6×	36 0.6×	41 0.9×	42	344
Maria V. Ruiz-Blondet United States	8	388 1.4×	97 1.2×	84 1.2×	47 0.8×	25 0.5×	9	458
Sang-Goog Lee South Korea	9	237 0.9×	84 1.0×	82 1.1×	77 1.3×	78 1.6×	28	322
Sofien Gannouni Saudi Arabia	11	301 1.1×	100 1.2×	63 0.9×	72 1.2×	70 1.5×	26	436

Countries citing papers authored by Ignas Martišius

Since Specialization

Citations

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

Fields of papers citing papers by Ignas Martišius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignas Martišius

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Martišius, Ignas & Robertas Damaševičius. (2016). A Prototype SSVEP Based Real Time BCI Gaming System. Computational Intelligence and Neuroscience. 2016. 1–15. 85 indexed citations

2.

Martišius, Ignas. (2016). Data acquisition and signal processing methods for brain – computer interfaces. KTUePubl (Repository of Kaunas University of Technology). 2 indexed citations

3.

Maskeliūnas, Rytis, et al.. (2016). Consumer grade EEG devices: are they usable for control tasks?. PeerJ. 4. e1746–e1746. 141 indexed citations

4.

Damaševičius, Robertas, et al.. (2015). BoostEMD: An Extension of EMD Method and Its Application for Denoising of EMG Signals. Elektronika ir Elektrotechnika. 21(6). 10 indexed citations

5.

Damaševičius, Robertas, et al.. (2015). BoostEMD: An Extension of EMD Method and Its Application for Denoising of EMG Signals. Elektronika ir Elektrotechnika. 21(6). 57–61. 6 indexed citations

6.

Damaševičius, Robertas, et al.. (2014). Fractional Delay Time Embedding of EEG Signals into High Dimensional Phase Space. Elektronika ir Elektrotechnika. 20(8). 55–58. 6 indexed citations

7.

Jusas, Vacius, et al.. (2014). Fast DCT algorithms for EEG data compression in embedded systems. Computer Science and Information Systems. 12(1). 49–62. 26 indexed citations

8.

Martišius, Ignas, et al.. (2013). Real-Time Training of Voted Perceptron for Classification of EEG Data. 10. 41–50. 4 indexed citations

9.

Jusas, Vacius, et al.. (2013). Data compression of EEG signals for artificial neural network classification. Information Technology And Control. 42(3). 6 indexed citations

10.

Martišius, Ignas, et al.. (2012). Using Higher Order Nonlinear Operators for SVM Classification of EEG Data. Elektronika ir Elektrotechnika. 119(3). 99–102. 9 indexed citations

11.

Jusas, Vacius, et al.. (2012). EEG Dataset Reduction and Feature Extraction Using Discrete Cosine Transform. 199–204. 31 indexed citations

12.

Jusas, Vacius, et al.. (2011). A 2-D DCT Hardware Codec based on Loeffler Algorithm. Elektronika ir Elektrotechnika. 113(7). 8 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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