Takis Kasparis

2.1k citations
108 papers · 1.6k indexed · h-index 18

Takis Kasparis

98 papers receiving 1.5k citations

Peers

Takis Kasparis
Comparison fields: 5 of 120
  • Atmospheric Science 590
  • Computer Vision and Pattern Recognition 443
  • Media Technology 159
  • Environmental Engineering 218
  • Global and Planetary Change 300
Replace Samarjit Sengupta with:
Samarjit Sengupta India
Yaonan Zhang China
Haigang Sui China
Yunbo Wang China
Xuefeng Liu China
D.J. Hall United Kingdom
Chenyu Li China
Yilei Shi Germany
Takis Kasparis relative to Samarjit Sengupta India Samarjit Sengupta's profile →
Citations per field
00.5×4.9×
Samarjit Sengupta · 1×
Citations per year

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).

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.

Co-authorship network

The 25 scholars most cited alongside Takis Kasparis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takis Kasparis Line = papers co-authored together Takis Kasparis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Possible Explanation for the Z-R Parameter Inconsistency when Comparing Stratiform and Convective Rainfall
20161
2 201413
3 201464
4
Measurements of DSD Second Moment Based on Laser Extinction
20131
5 201215
6 20097
7 2009332
8
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings ... Vision, Pattern Recognition, and Graphics)
20080
9 200811
10 20082
11 20061
12 20062
13 20061
14 200319
15 2003129
16 200124
17 200120
18 20001
19 199747
20 19896

About Takis Kasparis

Takis Kasparis is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (28 papers), Meteorological Phenomena and Simulations (19 papers), Image and Signal Denoising Methods (14 papers), Soil Moisture and Remote Sensing (13 papers), Ocean Waves and Remote Sensing (11 papers), Image Retrieval and Classification Techniques (10 papers), Neural Networks and Applications (10 papers) and Medical Image Segmentation Techniques (9 papers). The work is most often cited by research in Atmospheric Science (590 citations), Computer Vision and Pattern Recognition (443 citations) and Media Technology (159 citations). Takis Kasparis has collaborated with scholars based in United States, Cyprus and Greece. Frequent co-authors include John E. Lane, Dimitrios Charalampidis, Silas Michaelides, Péter Bauer, Emmanouil N. Anagnostou, Vincenzo Levizzani, Michael Georgiopoulos, Paul G. Bashor, Christos P. Loizou and Emad Habib. Their work appears in journals such as Journal of Geophysical Research Atmospheres, 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.

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