Gintautas Dzemyda

1.4k total citations
105 papers, 794 citations indexed

About

Gintautas Dzemyda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gintautas Dzemyda has authored 105 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Gintautas Dzemyda's work include Neural Networks and Applications (21 papers), Face and Expression Recognition (12 papers) and Data Visualization and Analytics (8 papers). Gintautas Dzemyda is often cited by papers focused on Neural Networks and Applications (21 papers), Face and Expression Recognition (12 papers) and Data Visualization and Analytics (8 papers). Gintautas Dzemyda collaborates with scholars based in Lithuania, United States and Bulgaria. Gintautas Dzemyda's co-authors include Olga Kurasova, Julius Žilinskas, Leonidas Sakalauskas, Virginijus Marcinkevičius, Jolita Bernatavičienė, Artūras Kaklauskas, Povilas Treigys, Fernando Moreira, Hojjat Adeli and Álvaro Rocha and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Gintautas Dzemyda

96 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gintautas Dzemyda Lithuania 15 267 192 81 64 63 105 794
M. N. Doja India 17 338 1.3× 243 1.3× 246 3.0× 34 0.5× 46 0.7× 94 1.2k
Agapito Ledezma Spain 19 586 2.2× 175 0.9× 144 1.8× 30 0.5× 98 1.6× 81 1.2k
Jason C. Hung Taiwan 17 340 1.3× 206 1.1× 149 1.8× 90 1.4× 67 1.1× 117 966
Tejal Shah United Kingdom 11 356 1.3× 93 0.5× 92 1.1× 23 0.4× 63 1.0× 33 922
Hrudaya Kumar Tripathy India 19 222 0.8× 213 1.1× 97 1.2× 43 0.7× 46 0.7× 69 888
Johannes Schneider Switzerland 21 581 2.2× 131 0.7× 200 2.5× 43 0.7× 73 1.2× 73 1.4k
Goreti Marreiros Portugal 16 336 1.3× 93 0.5× 98 1.2× 17 0.3× 51 0.8× 109 959
Jagendra Singh India 23 303 1.1× 189 1.0× 201 2.5× 39 0.6× 146 2.3× 113 1.1k
Basabi Chakraborty Japan 17 522 2.0× 241 1.3× 99 1.2× 32 0.5× 147 2.3× 131 1.0k
Aske Plaat Netherlands 18 627 2.3× 163 0.8× 174 2.1× 30 0.5× 42 0.7× 82 1.5k

Countries citing papers authored by Gintautas Dzemyda

Since Specialization
Citations

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

Fields of papers citing papers by Gintautas Dzemyda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gintautas Dzemyda

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

All Works

20 of 20 papers shown
1.
2.
Rocha, Álvaro, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, & Valentina Colla. (2024). Information Systems and Technologies. Lecture notes in networks and systems. 1 indexed citations
3.
Dzemyda, Gintautas, et al.. (2024). EfficientNet Convolutional Neural Network with Gram Matrices Modules for Predicting Sadness Emotion. International Journal of Computers Communications & Control. 19(5). 2 indexed citations
4.
Dzemyda, Gintautas, et al.. (2023). Categorical Feature Encoding Techniques for Improved Classifier Performance when Dealing with Imbalanced Data of Fraudulent Transactions. International Journal of Computers Communications & Control. 18(3). 7 indexed citations
5.
6.
Dzemyda, Gintautas, et al.. (2021). How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases. Mathematics. 9(2). 121–121. 10 indexed citations
7.
Rocha, Álvaro, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, & António Correia. (2021). Trends and Applications in Information Systems and Technologies. Advances in intelligent systems and computing. 11 indexed citations
8.
Kaklauskas, Artūras, Edmundas Kazimieras Zavadskas, Björn W. Schuller, et al.. (2020). Customized ViNeRS Method for Video Neuro-Advertising of Green Housing. International Journal of Environmental Research and Public Health. 17(7). 2244–2244. 4 indexed citations
9.
Dzemyda, Gintautas, et al.. (2020). Navigation Decision Support: Discover of Vessel Traffic Anomaly According to the Historic Marine Data. International Journal of Computers Communications & Control. 15(3). 7 indexed citations
10.
Dzemyda, Gintautas, et al.. (2017). Feature-Based Registration of Thorax CT Scan Slices. Informatica. 28(3). 439–452. 1 indexed citations
11.
Kurasova, Olga, et al.. (2017). A new web-based solution for modelling data mining processes. Simulation Modelling Practice and Theory. 76. 34–46. 27 indexed citations
12.
Dzemyda, Gintautas, et al.. (2012). SEGMENTING THE EYE FUNDUS IMAGES FOR IDENTIFICATION OF BLOOD VESSELS. Mathematical Modelling and Analysis. 17(1). 21–30. 4 indexed citations
13.
Dzemyda, Gintautas, et al.. (2009). Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data. Informatica. 20(2). 235–254. 19 indexed citations
14.
Bernatavičienė, Jolita, et al.. (2008). Rule induction for ophthalmological data classification. Lithuanian University of Health Sciences. 2 indexed citations
15.
Bernatavičienė, Jolita, Gintautas Dzemyda, & Virginijus Marcinkevičius. (2007). DIAGONAL MAJORIZATION ALGORITHM: PROPERTIES AND EFFICIENCY. Information Technology And Control. 36(4). 2 indexed citations
16.
Kurasova, Olga, et al.. (2007). SELECTION OF THE NUMBER OF NEIGHBOURS OF EACH DATA POINT FOR THE LOCALLY LINEAR EMBEDDING ALGORITHM. Information Technology And Control. 36(4). 25 indexed citations
17.
Bernatavičienė, Jolita, Gintautas Dzemyda, Olga Kurasova, & Virginijus Marcinkevičius. (2006). STRATEGIES OF SELECTING THE BASIS VECTOR SET IN THE RELATIVE MDS. Technological and Economic Development of Economy. 12(4). 283–288. 1 indexed citations
18.
Dzemyda, Gintautas, et al.. (2006). Stochastic and Global Optimization (Nonconvex Optimization and Its Applications). Springer eBooks. 3 indexed citations
19.
Dzemyda, Gintautas, et al.. (2003). Forecasting Models in the State Education System. Informatics in Education. 2(1). 3–14. 3 indexed citations
20.
Dzemyda, Gintautas. (1999). Mean Squared Load Criteria for Scheduling Independent Tasks. International Journal of Applied Mathematics and Computer Science. 9(4). 939–954. 2 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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