Gintautas Dzemyda
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Experimental and Cognitive Psychology
- Signal Processing top 10%
- Co-authors
- Olga KurasovaJulius ŽilinskasLeonidas SakalauskasVirginijus MarcinkevičiusJolita BernatavičienėArtūras KaklauskasPovilas TreigysÃlvaro Rocha
- Topics
- Neural Networks and Applications (21 papers)Face and Expression Recognition (12 papers)Data Visualization and Analytics (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceManagement Information Systems
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchExpert Systems with Applications
- Partner nations
- LithuaniaUnited StatesBulgaria
In The Last Decade
Gintautas Dzemyda
96 papers receiving 730 citations
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 267
- Computer Vision and Pattern Recognition 192
- Information Systems 81
- Experimental and Cognitive Psychology 64
- Signal Processing 63
Countries citing papers authored by Gintautas Dzemyda
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | Stochastic and Global Optimization (Nonconvex Optimization and Its Applications) | 3 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | Mean Squared Load Criteria for Scheduling Independent Tasks | 2 |
About Gintautas Dzemyda
Gintautas Dzemyda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 105 papers that have together received 794 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Face and Expression Recognition (12 papers) and Data Visualization and Analytics (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Artificial Intelligence (267 citations) and Management Information Systems (53 citations). Gintautas Dzemyda has collaborated with scholars based in Lithuania, United States and Bulgaria. Frequent co-authors include Olga Kurasova, Julius Žilinskas, Leonidas Sakalauskas, Virginijus Marcinkevičius, Jolita Bernatavičienė, Artūras Kaklauskas, Povilas Treigys, Ãlvaro Rocha, Fernando Moreira and Hojjat Adeli. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.
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.