Takis Kasparis

71 papers and 1.1k indexed citations i.

About

Takis Kasparis is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Signal Processing. According to data from OpenAlex, Takis Kasparis has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 20 papers in Atmospheric Science and 10 papers in Signal Processing. Recurrent topics in Takis Kasparis’s work include Precipitation Measurement and Analysis (18 papers), Image and Signal Denoising Methods (14 papers) and Meteorological Phenomena and Simulations (14 papers). Takis Kasparis is often cited by papers focused on Precipitation Measurement and Analysis (18 papers), Image and Signal Denoising Methods (14 papers) and Meteorological Phenomena and Simulations (14 papers). Takis Kasparis collaborates with scholars based in United States, Cyprus and Greece. Takis Kasparis's co-authors include John E. Lane, Dimitrios Charalampidis, Silas Michaelides, Péter Bauer, Vincenzo Levizzani, Emmanouil N. Anagnostou, Michael Georgiopoulos, Ali Tokay, Emad Habib and Paul G. Bashor and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Takis Kasparis i

Fields of papers citing papers by Takis Kasparis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takis Kasparis. 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 Takis Kasparis. The network helps show where Takis Kasparis may publish in the future.

Countries citing papers authored by Takis Kasparis

Since Specialization
Citations

This map shows the geographic impact of Takis Kasparis'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 Takis Kasparis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takis Kasparis more than expected).

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.

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