Andrzej Majkowski

1.0k total citations
59 papers, 607 citations indexed

About

Andrzej Majkowski is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Andrzej Majkowski has authored 59 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 14 papers in Signal Processing and 14 papers in Artificial Intelligence. Recurrent topics in Andrzej Majkowski's work include EEG and Brain-Computer Interfaces (34 papers), Neuroscience and Neural Engineering (11 papers) and Neural Networks and Applications (11 papers). Andrzej Majkowski is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Neuroscience and Neural Engineering (11 papers) and Neural Networks and Applications (11 papers). Andrzej Majkowski collaborates with scholars based in Poland. Andrzej Majkowski's co-authors include Marcin Kołodziej, Remigiusz J. Rak, Paweł Tarnowski, Andrzej Rysz, Piotr Francuz, Dariusz Zapała, Agnieszka Pluta, Paweł Augustynowicz, Natalia Kopiś-Posiej and Andrzej Cichocki and has published in prestigious journals such as Sensors, Frontiers in Neuroscience and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Andrzej Majkowski

49 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrzej Majkowski Poland	12	298	220	117	101	91	59	607
Marcin Kołodziej Poland	13	300 1.0×	222 1.0×	124 1.1×	96 1.0×	95 1.0×	66	681
Remigiusz J. Rak Poland	12	246 0.8×	208 0.9×	122 1.0×	88 0.9×	72 0.8×	67	645
Yuliang Ma China	18	527 1.8×	282 1.3×	112 1.0×	118 1.2×	85 0.9×	51	840
Dongrui Gao China	17	320 1.1×	168 0.8×	73 0.6×	51 0.5×	65 0.7×	57	698
Zijing Mao United States	9	490 1.6×	264 1.2×	46 0.4×	106 1.0×	86 0.9×	17	615
Ming Meng China	14	348 1.2×	143 0.7×	76 0.6×	78 0.8×	65 0.7×	56	541
Hong Zeng China	14	396 1.3×	257 1.2×	67 0.6×	46 0.5×	96 1.1×	34	662
Omid Dehzangi United States	14	183 0.6×	85 0.4×	111 0.9×	45 0.4×	58 0.6×	52	640
Zhao Lv China	17	526 1.8×	201 0.9×	90 0.8×	170 1.7×	255 2.8×	85	888

Countries citing papers authored by Andrzej Majkowski

Since Specialization

Citations

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

Fields of papers citing papers by Andrzej Majkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrzej Majkowski

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

Kołodziej, Marcin, et al.. (2025). A Hybrid CNN-LSTM Approach for Muscle Artifact Removal from EEG Using Additional EMG Signal Recording. Applied Sciences. 15(9). 4953–4953. 1 indexed citations

Majkowski, Andrzej & Marcin Kołodziej. (2025). Emotion Recognition from Speech in a Subject-Independent Approach. Applied Sciences. 15(13). 6958–6958.

Kołodziej, Marcin, et al.. (2024). Acquisition and Analysis of Facial Electromyographic Signals for Emotion Recognition. Sensors. 24(15). 4785–4785. 2 indexed citations

Kołodziej, Marcin, et al.. (2024). Implementing YOLO Convolutional Neural Network for Seed Size Detection. Applied Sciences. 14(14). 6294–6294. 2 indexed citations

Kołodziej, Marcin, et al.. (2023). Convolutional Neural Network-Based Classification of Steady-State Visually Evoked Potentials with Limited Training Data. Applied Sciences. 13(24). 13350–13350. 1 indexed citations

Kołodziej, Marcin, Andrzej Majkowski, Paweł Tarnowski, Remigiusz J. Rak, & Andrzej Rysz. (2021). A new method of cardiac sympathetic index estimation using a 1D-convolutional neural network. Bulletin of the Polish Academy of Sciences Technical Sciences. 136921–136921. 5 indexed citations

Kołodziej, Marcin, Paweł Tarnowski, Andrzej Majkowski, & Remigiusz J. Rak. (2019). Electrodermal activity measurements for detection of emotional arousal. Bulletin of the Polish Academy of Sciences Technical Sciences. 813–826. 22 indexed citations

Kołodziej, Marcin, Andrzej Majkowski, Remigiusz J. Rak, Andrzej Rysz, & Andrzej Marchel. (2018). DECISION SUPPORT SYSTEM FOR EPILEPTOGENIC ZONE LOCATION DURING BRAIN RESECTION. Metrology and Measurement Systems. 5 indexed citations

Kołodziej, Marcin, Andrzej Majkowski, Remigiusz J. Rak, Bartosz Świderski, & Andrzej Rysz. (2017). System for automatic heart rate calculation in epileptic seizures. Australasian Physical & Engineering Sciences in Medicine. 40(3). 555–564. 3 indexed citations

10.

Majkowski, Andrzej, Marcin Kołodziej, & Remigiusz J. Rak. (2012). Wykorzystanie potencjałów mózgowych P300 do sterowania awatarem. Pomiary Automatyka Kontrola. 352–354.

11.

Rak, Remigiusz J., Andrzej Majkowski, & Marcin Kołodziej. (2012). Linear discriminant analysis as EEG features reduction technique for brain-computer interfaces. PRZEGLĄD ELEKTROTECHNICZNY. 28–30. 16 indexed citations

12.

Kołodziej, Marcin, Andrzej Majkowski, & Remigiusz J. Rak. (2011). Implementation of genetic algorithms to feature selection for the use of brain-computer interface. PRZEGLĄD ELEKTROTECHNICZNY. 71–73. 5 indexed citations

13.

Kołodziej, Marcin, Andrzej Majkowski, & Remigiusz J. Rak. (2011). Optymalizacja doboru okien czasowych do przetwarzania sygnału EEG w interfejsach mózg-komputer. PRZEGLĄD ELEKTROTECHNICZNY. 142–144. 1 indexed citations

14.

Kołodziej, Marcin, Andrzej Majkowski, & Remigiusz J. Rak. (2011). Wykorzystanie maszyny wektorów wspierających (SVM) do klasyfikacji sygnału EEG na użytek interfejsu mózg-komputer. Pomiary, Automatyka, Kontrola. 1546–1548. 1 indexed citations

15.

Majkowski, Andrzej, et al.. (2011). Platforma zdalnego laboratorium jako nowoczesny element wspomagający proces kształcenia. PRZEGLĄD ELEKTROTECHNICZNY. 181–186.

16.

Kołodziej, Marcin, Andrzej Majkowski, & Remigiusz J. Rak. (2010). A new method of feature extraction from EEG signal for braincomputer interface design. PRZEGLĄD ELEKTROTECHNICZNY. 35–38. 12 indexed citations

17.

Kołodziej, Marcin, Andrzej Majkowski, & Remigiusz J. Rak. (2010). Matlab FE_Toolbox - an universal utility for feature extraction of EEG signals for BCI realization. PRZEGLĄD ELEKTROTECHNICZNY. 44–46. 9 indexed citations

18.

Rak, Remigiusz J. & Andrzej Majkowski. (2004). Praktyczne aspekty analizy widmowej Fouriera (Encyklopedia Przeglądu Elektrotechnicznego). PRZEGLĄD ELEKTROTECHNICZNY. 391–396. 1 indexed citations

19.

Rak, Remigiusz J. & Andrzej Majkowski. (2004). Falkowa analiza sygnałów (Encyklopedia PE). PRZEGLĄD ELEKTROTECHNICZNY. 646–652. 3 indexed citations

20.

Majkowski, Andrzej, et al.. (1998). Wybrane zagadnienia dotyczące systemów temporalnych baz danych. 30–36. 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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