Stanislau Semeniuta
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Signal Processing
- Information Systems
- Co-authors
- Erhardt BarthAliaksei SeverynSergey TulyakovNicu SebeEnver SanginetoKristof EngelenFrancesco AsnicarT. Tolio
- Topics
- Bioinformatics and Genomic Networks (3 papers)Gene Regulatory Network Analysis (3 papers)Human Pose and Action Recognition (2 papers)
- Journals
- The International Journal of High Performance Computing ApplicationsInstitutional Research Information System (Università degli Studi di Trento)IRIS UNIMORE (University of Modena and Reggio Emilia)
In The Last Decade
Stanislau Semeniuta
7 papers receiving 174 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 104
- Computer Vision and Pattern Recognition 84
- Molecular Biology 19
- Signal Processing 18
- Information Systems 12
Countries citing papers authored by Stanislau Semeniuta
This map shows the geographic impact of Stanislau Semeniuta'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 Stanislau Semeniuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislau Semeniuta more than expected).
Fields of papers citing papers by Stanislau Semeniuta
This network shows the impact of papers produced by Stanislau Semeniuta. 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 Stanislau Semeniuta. The network helps show where Stanislau Semeniuta may publish in the future.
Co-authorship network of co-authors of Stanislau Semeniuta
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislau Semeniuta. A scholar is included among the top collaborators of Stanislau Semeniuta 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 Stanislau Semeniuta. Stanislau Semeniuta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 129 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | TN-Grid and gene@home project: volunteer computing for bioinformatics | 6 |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 22 |
About Stanislau Semeniuta
Stanislau Semeniuta is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Computer Networks and Communications, having authored 7 papers that have together received 189 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene Regulatory Network Analysis (3 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Artificial Intelligence (104 citations) and Health Informatics (3 citations). Stanislau Semeniuta has collaborated with scholars based in Italy, Belgium and Germany. Frequent co-authors include Erhardt Barth, Aliaksei Severyn, Sergey Tulyakov, Nicu Sebe, Enver Sangineto, Kristof Engelen, Francesco Asnicar, T. Tolio, Enrico Blanzieri and Giulia Malacarne. Their work appears in journals such as The International Journal of High Performance Computing Applications, Institutional Research Information System (Università degli Studi di Trento) and IRIS UNIMORE (University of Modena and Reggio Emilia).
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.