Martin Sarnovský

605 total citations
39 papers, 360 citations indexed

About

Martin Sarnovský is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Martin Sarnovský has authored 39 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Information Systems and 8 papers in Management Information Systems. Recurrent topics in Martin Sarnovský's work include Big Data and Business Intelligence (7 papers), Data Stream Mining Techniques (7 papers) and Data Mining Algorithms and Applications (6 papers). Martin Sarnovský is often cited by papers focused on Big Data and Business Intelligence (7 papers), Data Stream Mining Techniques (7 papers) and Data Mining Algorithms and Applications (6 papers). Martin Sarnovský collaborates with scholars based in Slovakia and United States. Martin Sarnovský's co-authors include Viera Krešňáková, Peter Butka, Ján Paralič, Kristína Machová, Peter Bednár, František Babič, Viktor Demko and Peter Bednár and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Electronics.

In The Last Decade

Martin Sarnovský

35 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Sarnovský Slovakia	11	205	107	103	67	59	39	360
Xiwu Gu China	11	334 1.6×	215 2.0×	104 1.0×	152 2.3×	53 0.9×	51	557
Zhiyun Zheng China	13	179 0.9×	128 1.2×	53 0.5×	75 1.1×	98 1.7×	37	361
Yasuyuki Tahara Japan	9	180 0.9×	136 1.3×	35 0.3×	95 1.4×	44 0.7×	99	315
Sachin Lodha India	10	73 0.4×	155 1.4×	98 1.0×	116 1.7×	39 0.7×	51	298
Jalel Akaichi Tunisia	10	175 0.9×	104 1.0×	75 0.7×	69 1.0×	40 0.7×	88	349
Qigang Gao Canada	10	266 1.3×	95 0.9×	45 0.4×	72 1.1×	24 0.4×	53	459
Sadia Sharmin Bangladesh	9	232 1.1×	104 1.0×	31 0.3×	52 0.8×	13 0.2×	39	386
Guoyong Cai China	10	279 1.4×	165 1.5×	23 0.2×	89 1.3×	105 1.8×	53	494
Rajeev R. Raje United States	12	260 1.3×	250 2.3×	56 0.5×	159 2.4×	31 0.5×	57	436

Countries citing papers authored by Martin Sarnovský

Since Specialization

Citations

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

Fields of papers citing papers by Martin Sarnovský

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Sarnovský

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

Sarnovský, Martin & František Babič. (2025). Concept Drift Influenced by Topic Change in Data Streams from Social Media. 337–340.

Sarnovský, Martin, et al.. (2025). Optimization of Waste Collection Points in Collective Housing Areas. 167–172.

Bednár, Peter, et al.. (2023). Semantic Composition of Data Analytical Processes. Acta Polytechnica Hungarica. 21(2). 167–185. 1 indexed citations

Sarnovský, Martin, et al.. (2023). Detecting the Absence of Lung Sliding in Ultrasound Videos Using 3D Convolutional Neural Networks. Acta Polytechnica Hungarica. 20(6). 47–60. 5 indexed citations

Sarnovský, Martin, et al.. (2023). Explainability of deep learning models in medical video analysis: a survey. PeerJ Computer Science. 9. e1253–e1253. 8 indexed citations

Sarnovský, Martin, et al.. (2022). Explainability of deep learning models in medical image classification. 233–238. 2 indexed citations

Sarnovský, Martin, et al.. (2021). Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble. PeerJ Computer Science. 7. e459–e459. 16 indexed citations

Krešňáková, Viera, Martin Sarnovský, Peter Butka, & Kristína Machová. (2020). Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification. Applied Sciences. 10(23). 8631–8631. 66 indexed citations

Sarnovský, Martin, et al.. (2020). Emotion Analysis in Human–Robot Interaction. Electronics. 9(11). 1761–1761. 26 indexed citations

10.

Sarnovský, Martin, et al.. (2019). Improvement in the Efficiency of a Distributed Multi-Label Text Classification Algorithm Using Infrastructure and Task-Related Data. Informatics. 6(1). 12–12. 2 indexed citations

11.

Sarnovský, Martin, et al.. (2019). Cross-Sectorial Semantic Model for Support of Data Analytics in Process Industries. Processes. 7(5). 281–281. 5 indexed citations

12.

Sarnovský, Martin, et al.. (2018). PREDICTIVE MODELS FOR SUPPORT OF INCIDENT MANAGEMENT PROCESS IN IT SERVICE MANAGEMENT. SHILAP Revista de lepidopterología. 18(1). 57–62. 2 indexed citations

13.

Sarnovský, Martin, et al.. (2017). Building environment analysis based on clustering methods from sensor data on top of the Hadoop platform. 9. 79–82. 1 indexed citations

14.

Sarnovský, Martin, et al.. (2017). Twitter data analysis and visualizations using the R language on top of the Hadoop platform. 10. 327–332. 2 indexed citations

15.

Sarnovský, Martin & Ján Paralič. (2015). Teaching big data analysis at Technical University in Kosice in business information systems study program. 1–6. 3 indexed citations

16.

Sarnovský, Martin. (2014). Design and Implementation of the Cloud based Application for Text Mining Tasks. 6(6). 261–264. 1 indexed citations

17.

Sarnovský, Martin, et al.. (2014). Distributed boosting algorithm for classification of text documents. 17. 217–220. 5 indexed citations

18.

Sarnovský, Martin, et al.. (2013). Cloud-based clustering of text documents using the GHSOM algorithm on the GridGain platform. 309–313. 6 indexed citations

19.

Butka, Peter, Martin Sarnovský, & Peter Bednár. (2008). One approach to combination of FCA-based local conceptual models for text analysis — grid-based approach. 131–135. 13 indexed citations

20.

Sarnovský, Martin, et al.. (2008). Text Mining Workflows Construction with Support of Ontologies. 1. 173–177. 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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