Maria Kaselimi
About
In The Last Decade
Maria Kaselimi
41 papers receiving 800 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Electrical and Electronic Engineering 425
- Building and Construction 169
- Control and Systems Engineering 136
- Artificial Intelligence 118
- Astronomy and Astrophysics 86
Countries citing papers authored by Maria Kaselimi
This map shows the geographic impact of Maria Kaselimi'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 Maria Kaselimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Kaselimi more than expected).
Fields of papers citing papers by Maria Kaselimi
This network shows the impact of papers produced by Maria Kaselimi. 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 Maria Kaselimi. The network helps show where Maria Kaselimi may publish in the future.
Co-authorship network of co-authors of Maria Kaselimi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kaselimi. A scholar is included among the top collaborators of Maria Kaselimi 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 Maria Kaselimi. Maria Kaselimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP breakdown → | 101 |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 30 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 36 | |
| 17 | 26 | |
| 18 | Air Quality Data Time Series Modeling Using Deep Recurrent Neural Networks on Sentinel-5p Products | 1 |
| 19 | 41 | |
| 20 | 64 |
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.