Serban Meza
- Plant Science
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Analytical Chemistry top 10%
- Co-authors
- Romulus TerebeşBogdan OrzaMáirtín O’DromaAurel VlaicuAdriana StanMagdalena ChirilăChristian GermainMihaela Gordan
- Topics
- Remote-Sensing Image Classification (6 papers)Image Retrieval and Classification Techniques (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessRemote Sensing
In The Last Decade
Serban Meza
34 papers receiving 294 citations
Peers
Comparison fields: 5 of 78
- Plant Science 90
- Electrical and Electronic Engineering 62
- Artificial Intelligence 51
- Computer Vision and Pattern Recognition 49
- Analytical Chemistry 43
Countries citing papers authored by Serban Meza
This map shows the geographic impact of Serban Meza'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 Serban Meza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serban Meza more than expected).
Fields of papers citing papers by Serban Meza
This network shows the impact of papers produced by Serban Meza. 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 Serban Meza. The network helps show where Serban Meza may publish in the future.
Co-authorship network of co-authors of Serban Meza
This figure shows the co-authorship network connecting the top 25 collaborators of Serban Meza. A scholar is included among the top collaborators of Serban Meza 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 Serban Meza. Serban Meza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 83 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Towards Agile Integration within Higher Education: A Systematic Assessment | 6 |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | An integrated eHealth system using medical information standards | 1 |
| 19 | Hospital information system using HL7 and DICOM standards | 4 |
| 20 | Bayesian segmentation of hepatic biopsy color images in the JPEG compressed domain | 2 |
About Serban Meza
Serban Meza is a scholar working on Computer Science Applications, Media Technology and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 311 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (6 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Analytical Chemistry (43 citations), Computer Science Applications (20 citations) and Media Technology (30 citations). Serban Meza has collaborated with scholars based in Romania, Ireland and Senegal. Frequent co-authors include Romulus Terebeş, Bogdan Orza, Máirtín O’Droma, Aurel Vlaicu, Adriana Stan, Magdalena Chirilă, Christian Germain, Mihaela Gordan, Gabriela Trifan and Monica Borda. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Remote Sensing.
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.