Martin Macaš

685 total citations
34 papers, 421 citations indexed

About

Martin Macaš is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Macaš has authored 34 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Macaš's work include EEG and Brain-Computer Interfaces (9 papers), Neural Networks and Applications (6 papers) and Machine Learning and Algorithms (4 papers). Martin Macaš is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Neural Networks and Applications (6 papers) and Machine Learning and Algorithms (4 papers). Martin Macaš collaborates with scholars based in Czechia, Italy and Slovakia. Martin Macaš's co-authors include Lenka Lhotská, Libor Přeučil, Martin Saska, Fabio Moretti, Stefano Pizzuti, Kateřina Štechová, Andrea Giantomassi, Mauro Annunziato, Alessandro Fonti and Gabriele Comodi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy and Buildings.

In The Last Decade

Martin Macaš

33 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Macaš Czechia	12	127	114	64	58	54	34	421
Hongsheng He China	14	194 1.5×	121 1.1×	37 0.6×	27 0.5×	93 1.7×	66	626
Sherif E. Hussein Egypt	10	83 0.7×	167 1.5×	57 0.9×	45 0.8×	34 0.6×	25	501
Hamza Kheddar Algeria	12	107 0.8×	262 2.3×	40 0.6×	20 0.3×	55 1.0×	42	560
Murat Taşkıran Türkiye	9	183 1.4×	106 0.9×	58 0.9×	9 0.2×	35 0.6×	37	503
Soumya Prakash Rana United Kingdom	13	46 0.4×	82 0.7×	137 2.1×	86 1.5×	44 0.8×	34	487
Earnest Paul Ijjina India	12	394 3.1×	232 2.0×	52 0.8×	41 0.7×	30 0.6×	21	641
M. Saeed Darweesh Egypt	11	89 0.7×	75 0.7×	122 1.9×	13 0.2×	24 0.4×	68	405
Stefano Messelodi Italy	13	504 4.0×	85 0.7×	51 0.8×	56 1.0×	48 0.9×	40	687
Vincenzo Dentamaro Italy	14	136 1.1×	122 1.1×	16 0.3×	53 0.9×	36 0.7×	29	500

Countries citing papers authored by Martin Macaš

Since Specialization

Citations

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

Fields of papers citing papers by Martin Macaš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Macaš

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

Macaš, Martin, et al.. (2020). Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus. Computer Methods and Programs in Biomedicine. 196. 105628–105628. 25 indexed citations

Křemen, Václav, et al.. (2019). Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering. Journal of Neuroscience Methods. 317. 61–70. 11 indexed citations

Macaš, Martin, et al.. (2019). Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. SHILAP Revista de lepidopterología. 46–46. 4 indexed citations

Macaš, Martin, et al.. (2019). Query-By-Committee Framework Used for Semi-Automatic Sleep Stages Classification. SHILAP Revista de lepidopterología. 80–80. 3 indexed citations

Lhotská, Lenka, et al.. (2018). Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO. 1522–1525. 2 indexed citations

Macaš, Martin, et al.. (2018). Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. 2249–2253. 2 indexed citations

Křemen, Václav, et al.. (2018). Expert-in-the-loop Learning for Sleep EEG Data. 2590–2596. 5 indexed citations

Macaš, Martin, et al.. (2017). A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas. Lecture notes in computer science. 66–81. 12 indexed citations

Bhondekar, Amol P., Martin Macaš, Ritesh Kumar, et al.. (2015). Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification. Neural Networks. 71. 142–149. 25 indexed citations

10.

Macaš, Martin. (2015). Variable selection for prediction of time series from smart city. 2. 1–5. 1 indexed citations

11.

Macaš, Martin, et al.. (2015). Innovative default prediction approach. Expert Systems with Applications. 42(17-18). 6277–6285. 8 indexed citations

12.

Macaš, Martin, Amol P. Bhondekar, Ritesh Kumar, et al.. (2013). Binary social impact theory based optimization and its applications in pattern recognition. Neurocomputing. 132. 85–96. 12 indexed citations

13.

Macaš, Martin, et al.. (2012). Linear Bayes classification for mortality prediction. Computing in Cardiology. 473–476. 2 indexed citations

14.

Macaš, Martin, Lenka Lhotská, Eduard Bakštein, et al.. (2012). Wrapper feature selection for small sample size data driven by complete error estimates. Computer Methods and Programs in Biomedicine. 108(1). 138–150. 13 indexed citations

15.

Macaš, Martin & Lenka Lhotská. (2011). Optimizers derived from human opinion formation. 4. 359–364. 3 indexed citations

16.

Macaš, Martin, et al.. (2009). Classification of the emotional states based on the EEG signal processing. 1–4. 14 indexed citations

17.

Křemen, Václav, Lenka Lhotská, Martin Macaš, et al.. (2008). A new approach to automated assessment of fractionation of endocardial electrograms during atrial fibrillation. Physiological Measurement. 29(12). 1371–1381. 22 indexed citations

18.

Macaš, Martin & Lenka Lhotská. (2008). Social Impact and Optimization. 4(2). 12 indexed citations

19.

Burša, Miroslav, Lenka Lhotská, & Martin Macaš. (2007). Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation. 150–155. 3 indexed citations

20.

Novák, Daniel, et al.. (2005). School children dyslexia analysis using self organizing maps. PubMed. 3. 1–4. 7 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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