Vasileios Syrris

3.4k total citations · 1 hit paper
43 papers, 1.8k citations indexed

About

Vasileios Syrris is a scholar working on Media Technology, Ecology and Environmental Engineering. According to data from OpenAlex, Vasileios Syrris has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Media Technology, 9 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Vasileios Syrris's work include Remote-Sensing Image Classification (17 papers), Remote Sensing in Agriculture (9 papers) and Impact of Light on Environment and Health (6 papers). Vasileios Syrris is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Remote Sensing in Agriculture (9 papers) and Impact of Light on Environment and Health (6 papers). Vasileios Syrris collaborates with scholars based in Italy, Greece and Belgium. Vasileios Syrris's co-authors include Martino Pesaresi, Pierre Soille, Aneta J. Florczyk, Thomas Kemper, Christina Corbane, Daniele Ehrlich, Andreea Julea, Ferri Stefano, Sérgio Freire and Filip Sabo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Remote Sensing.

In The Last Decade

Vasileios Syrris

42 papers receiving 1.7k citations

Hit Papers

A Global Human Settlement Layer From Optical HR/VHR RS Da... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vasileios Syrris Italy 20 1.0k 404 386 371 321 43 1.8k
Christina Corbane Italy 24 973 1.0× 438 1.1× 473 1.2× 477 1.3× 352 1.1× 67 2.0k
Sabine Vanhuysse Belgium 20 727 0.7× 363 0.9× 373 1.0× 387 1.0× 261 0.8× 53 1.6k
Wieke Heldens Germany 16 720 0.7× 412 1.0× 282 0.7× 474 1.3× 350 1.1× 46 1.5k
Stefanos Georganos Belgium 19 693 0.7× 300 0.7× 386 1.0× 382 1.0× 240 0.7× 45 1.5k
Taïs Grippa Belgium 18 628 0.6× 350 0.9× 368 1.0× 319 0.9× 212 0.7× 47 1.4k
Yuehong Chen China 24 456 0.5× 429 1.1× 437 1.1× 324 0.9× 313 1.0× 74 1.5k
Moritz Lennert Belgium 17 573 0.6× 313 0.8× 359 0.9× 314 0.8× 213 0.7× 45 1.5k
Tengfei Long China 22 884 0.9× 278 0.7× 470 1.2× 514 1.4× 316 1.0× 126 1.7k
Tim Van de Voorde Belgium 25 1.2k 1.2× 282 0.7× 360 0.9× 698 1.9× 400 1.2× 112 2.1k
Aneta J. Florczyk Italy 20 1.1k 1.1× 213 0.5× 233 0.6× 305 0.8× 312 1.0× 43 1.7k

Countries citing papers authored by Vasileios Syrris

Since Specialization
Citations

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

Fields of papers citing papers by Vasileios Syrris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasileios Syrris

This figure shows the co-authorship network connecting the top 25 collaborators of Vasileios Syrris. A scholar is included among the top collaborators of Vasileios Syrris 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 Vasileios Syrris. Vasileios Syrris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis, et al.. (2024). Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data. International Journal of Digital Earth. 17(1). 44 indexed citations
2.
Corbane, Christina, Panagiotis Politis, Pieter Kempeneers, et al.. (2020). A global cloud free pixel- based image composite from Sentinel-2 data. SHILAP Revista de lepidopterología. 31. 105737–105737. 50 indexed citations
4.
Syrris, Vasileios, et al.. (2019). Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class Segmentation of Sentinel-2 Imagery. Remote Sensing. 11(8). 907–907. 30 indexed citations
5.
Corbane, Christina, Martino Pesaresi, Thomas Kemper, et al.. (2019). Automated global delineation of human settlements from 40 years of Landsat satellite data archives. Big Earth Data. 3(2). 140–169. 114 indexed citations
6.
Corbane, Christina, Filip Sabo, Vasileios Syrris, et al.. (2019). Application of the Symbolic Machine Learning to Copernicus VHR Imagery: The European Settlement Map. IEEE Geoscience and Remote Sensing Letters. 17(7). 1153–1157. 8 indexed citations
7.
Corbane, Christina, Panagiotis Politis, Vasileios Syrris, & Martino Pesaresi. (2018). GHS built-up grid, derived from Sentinel-1 (2016), R2018A. 3 indexed citations
8.
Florczyk, Aneta J., et al.. (2018). GHS built-up grid, derived from Landsat, multitemporal (1975-1990-2000-2014), R2018A. 55 indexed citations
9.
Uhl, Johannes, Stefan Leyk, Deborah Balk, et al.. (2018). Exposing the urban continuum: implications and cross-comparison from an interdisciplinary perspective. International Journal of Digital Earth. 13(1). 22–44. 18 indexed citations
10.
Corbane, Christina, Martino Pesaresi, Panagiotis Politis, et al.. (2017). Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping. Big Earth Data. 1(1-2). 118–144. 92 indexed citations
11.
Santamaria, Carlos A., et al.. (2017). Mass Processing of Sentinel-1 Images for Maritime Surveillance. Remote Sensing. 9(7). 678–678. 45 indexed citations
12.
Soille, Pierre, et al.. (2017). The JRC Earth Observation Data and Processing Platform. Joint Research Centre (European Commission). 1 indexed citations
13.
Corbane, Christina, Guido Lemoine, Martino Pesaresi, et al.. (2017). Enhanced automatic detection of human settlements using Sentinel-1 interferometric coherence. International Journal of Remote Sensing. 39(3). 842–853. 28 indexed citations
14.
Martino, Pesaresi, Panagiotis Politis, Vasileios Syrris, et al.. (2017). MASS PROCESSING OF SENTINEL-1 AND LANDSAT DATA FOR MAPPING HUMAN SETTLEMENTS AT GLOBAL LEVEL. Joint Research Centre (European Commission). 2 indexed citations
15.
Stilianakis, Nikolaos I., Vasileios Syrris, Sandra Gewehr, et al.. (2016). Identification of Climatic Factors Affecting the Epidemiology of Human West Nile Virus Infections in Northern Greece. PLoS ONE. 11(9). e0161510–e0161510. 28 indexed citations
16.
Pesaresi, Martino, Christina Corbane, Andreea Julea, et al.. (2016). Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas. Remote Sensing. 8(4). 299–299. 159 indexed citations
17.
Pesaresi, Martino, Daniele Ehrlich, Aneta J. Florczyk, et al.. (2016). The global human settlement layer from landsat imagery. 7276–7279. 100 indexed citations
18.
Pesaresi, Martino, Daniele Ehrlich, Aneta J. Florczyk, et al.. (2015). GHS-BUILT R2015B - GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014) - OBSOLETE RELEASE. Open MIND. 2 indexed citations
19.
Chourmouzi, Danai, et al.. (2014). Manifestations of pilocytic astrocytoma: a pictorial review. Insights into Imaging. 5(3). 387–402. 53 indexed citations
20.
Alexiadis, Dimitrios S., et al.. (2010). A new face database and evaluation of face recognition techniques. International Conference on Systems. 590–595. 2 indexed citations

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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