I. Kanellopoulos
- Media Technology top 1%
- Artificial Intelligence top 5%
- Ecology top 10%
- Atmospheric Science top 10%
- Environmental Engineering top 10%
- Co-authors
- G.G. WilkinsonJón Atli BenediktssonLars BernardP.C. SmitsJ. MégierAlessandro AnnoniDemetris StathakisFabio Roli
- Topics
- Remote-Sensing Image Classification (16 papers)Neural Networks and Applications (11 papers)Remote Sensing in Agriculture (6 papers)
In The Last Decade
I. Kanellopoulos
28 papers receiving 824 citations
Peers
Comparison fields: 5 of 105
- Media Technology 362
- Artificial Intelligence 250
- Ecology 227
- Atmospheric Science 155
- Environmental Engineering 120
Countries citing papers authored by I. Kanellopoulos
This map shows the geographic impact of I. Kanellopoulos'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 I. Kanellopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Kanellopoulos more than expected).
Fields of papers citing papers by I. Kanellopoulos
This network shows the impact of papers produced by I. Kanellopoulos. 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 I. Kanellopoulos. The network helps show where I. Kanellopoulos may publish in the future.
Co-authorship network of co-authors of I. Kanellopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of I. Kanellopoulos. A scholar is included among the top collaborators of I. Kanellopoulos 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 I. Kanellopoulos. I. Kanellopoulos 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 | 10 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | Building Service Oriented Applications on top of a Spatial Data Infrastructure - A Forest Fire Assessment Example | 16 |
| 6 | 1 | |
| 7 | 51 | |
| 8 | 77 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 60 | |
| 13 | Neurocomputation in remote sensing data analysis : proceedings of concerted action COMPARES (connectionist methods for pre-processing and analysis of remote sensing data) | 1 |
| 14 | 18 | |
| 15 | 36 | |
| 16 | 296 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 94 |
About I. Kanellopoulos
I. Kanellopoulos is a scholar working on Media Technology, Geography, Planning and Development and Artificial Intelligence, having authored 30 papers that have together received 919 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (16 papers), Neural Networks and Applications (11 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Media Technology (362 citations), Geography, Planning and Development (93 citations) and Ecology (227 citations). I. Kanellopoulos has collaborated with scholars based in Italy, Iceland and China. Frequent co-authors include G.G. Wilkinson, Jón Atli Benediktsson, Lars Bernard, P.C. Smits, J. Mégier, Alessandro Annoni, Demetris Stathakis, Fabio Roli, James A. Austin and Sven Schade. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Photogrammetric Engineering & 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.