Mihai Ivanovici
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 10%
- Economics and Econometrics
- Plant Science
- Co-authors
- Noël RichardJosiane MotheLotfi ChaâriOctavian MachidonS. PopaRăzvan BeuranȘtefan GheorgheV. S. Martoiu
- Topics
- Remote-Sensing Image Classification (17 papers)Image Retrieval and Classification Techniques (12 papers)Remote Sensing in Agriculture (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
In The Last Decade
Mihai Ivanovici
62 papers receiving 363 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 161
- Artificial Intelligence 77
- Media Technology 55
- Economics and Econometrics 37
- Plant Science 35
Countries citing papers authored by Mihai Ivanovici
This map shows the geographic impact of Mihai Ivanovici'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 Mihai Ivanovici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Ivanovici more than expected).
Fields of papers citing papers by Mihai Ivanovici
This network shows the impact of papers produced by Mihai Ivanovici. 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 Mihai Ivanovici. The network helps show where Mihai Ivanovici may publish in the future.
Co-authorship network of co-authors of Mihai Ivanovici
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Ivanovici. A scholar is included among the top collaborators of Mihai Ivanovici 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 Mihai Ivanovici. Mihai Ivanovici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | A Review of CNN Applications in Smart Agriculture Using Multimodal Databreakdown → | 31 |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | Fractal feature-based color image segmentation for a healthcare application in dermatology | 2 |
| 18 | 88 | |
| 19 | 2 | |
| 20 | Prospects for the design of an e-health system for monitoring patients with diabetes and stroke | 1 |
About Mihai Ivanovici
Mihai Ivanovici is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Discrete Mathematics and Combinatorics, having authored 74 papers that have together received 378 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (17 papers), Image Retrieval and Classification Techniques (12 papers) and Remote Sensing in Agriculture (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (161 citations), Media Technology (55 citations) and Biophysics (21 citations). Mihai Ivanovici has collaborated with scholars based in Romania, France and Moldova. Frequent co-authors include Noël Richard, Josiane Mothe, Lotfi Chaâri, Octavian Machidon, S. Popa, Răzvan Beuran, Ștefan Gheorghe, V. S. Martoiu, J. C. Vermeulen and L. J. Levinson. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.