Thomas Katagis

640 total citations
23 papers, 490 citations indexed

About

Thomas Katagis is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Thomas Katagis has authored 23 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 17 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Thomas Katagis's work include Remote Sensing in Agriculture (17 papers), Fire effects on ecosystems (13 papers) and Remote Sensing and LiDAR Applications (8 papers). Thomas Katagis is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Fire effects on ecosystems (13 papers) and Remote Sensing and LiDAR Applications (8 papers). Thomas Katagis collaborates with scholars based in Greece, United States and Italy. Thomas Katagis's co-authors include Ioannis Z. Gitas, Sander Veraverbeke, A. Polychronaki, Rudi Goossens, Ben Somers, Dar A. Roberts, E. Natasha Stavros, Philip E. Dennison, Ran Meng and Glynn Hulley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Thomas Katagis

23 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Katagis Greece 10 354 294 146 81 69 23 490
Fabiano Morelli Brazil 8 447 1.3× 301 1.0× 134 0.9× 48 0.6× 54 0.8× 22 552
Michael Karteris Greece 9 243 0.7× 284 1.0× 201 1.4× 151 1.9× 78 1.1× 9 519
L. Collett Australia 6 186 0.5× 231 0.8× 127 0.9× 86 1.1× 45 0.7× 7 336
Jesús San Miguel-Ayanz Italy 10 275 0.8× 165 0.6× 76 0.5× 124 1.5× 110 1.6× 14 441
Joseph McGlinchy United States 9 204 0.6× 143 0.5× 131 0.9× 30 0.4× 54 0.8× 23 362
Magí Franquesa Spain 11 407 1.1× 226 0.8× 85 0.6× 22 0.3× 90 1.3× 27 444
Zhanmang Liao China 14 454 1.3× 417 1.4× 344 2.4× 70 0.9× 119 1.7× 31 796
O. Fernández‐Manso Spain 6 405 1.1× 457 1.6× 239 1.6× 70 0.9× 58 0.8× 8 586
A. Polychronaki Greece 8 329 0.9× 279 0.9× 139 1.0× 41 0.5× 35 0.5× 12 396

Countries citing papers authored by Thomas Katagis

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Katagis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Katagis

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Katagis. A scholar is included among the top collaborators of Thomas Katagis 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 Thomas Katagis. Thomas Katagis 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.
Katagis, Thomas, et al.. (2023). Classification of seasonal Sentinel-2 imagery for mapping vegetation in Mediterranean ecosystems. 12–12. 1 indexed citations
2.
Katagis, Thomas & Ioannis Z. Gitas. (2022). Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems. Remote Sensing. 14(3). 602–602. 33 indexed citations
3.
Katagis, Thomas & Ioannis Z. Gitas. (2021). Accuracy estimation of two global burned area products at national scale. IOP Conference Series Earth and Environmental Science. 932(1). 12001–12001. 3 indexed citations
4.
Stavrakoudis, Dimitris, et al.. (2020). Automated Burned Scar Mapping Using Sentinel-2 Imagery. Journal of Geographic Information System. 12(3). 221–240. 15 indexed citations
5.
Gitas, Ioannis Z., et al.. (2020). A national fuel type mapping method improvement using sentinel-2 satellite data. Geocarto International. 37(4). 1022–1042. 24 indexed citations
6.
Kalaitzidis, Chariton, et al.. (2019). New trends in forest fire research incorporating big data and climate change modeling. 8. 1–163. 1 indexed citations
7.
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9.
Veraverbeke, Sander, Philip E. Dennison, Ioannis Z. Gitas, et al.. (2018). Hyperspectral remote sensing of fire: State-of-the-art and future perspectives. Remote Sensing of Environment. 216. 105–121. 135 indexed citations
10.
Katagis, Thomas, Ioannis Z. Gitas, & George Mitri. (2014). An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors. Remote Sensing. 6(6). 5480–5496. 7 indexed citations
11.
Katagis, Thomas, et al.. (2014). Trend analysis of medium- and coarse-resolution time series image data for burned area mapping in a Mediterranean ecosystem. International Journal of Wildland Fire. 23(5). 668–677. 14 indexed citations
12.
Rains, Dominik, R. Sabia, Diego Fernández‐Prieto, Mattia Marconcini, & Thomas Katagis. (2014). Extended analysis of SMOS salinity retrieval by using support vector regression (SVR). elib (German Aerospace Center). 2265–2268. 4 indexed citations
13.
Gitas, Ioannis Z., et al.. (2014). An automated two-step NDVI-based method for the production of low-cost historical burned area map records over large areas. International Journal of Remote Sensing. 35(7). 2713–2730. 7 indexed citations
14.
Sabia, R., Mattia Marconcini, Thomas Katagis, Diego Fernández‐Prieto, & Marcos Portabella. (2013). On the assessment of SMOS salinity retrieval by using Support Vector Regression (SVR). DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1555–1558. 2 indexed citations
15.
Katagis, Thomas, Mattia Marconcini, & Diego Fernández‐Prieto. (2013). Soil moisture estimation by using active microwave measurements and support vector regression (SVR). elib (German Aerospace Center). 1 indexed citations
16.
Gitas, Ioannis Z., et al.. (2012). Burned area mapping and post-fire monitoring of a Mediterranean forest using NDVI time-series of low resolution imagery and the BFAST method Mapeamento de área queimada e monitoramento pós-fogo de floresta na região Mediterrânea a partir de série. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 8(4). 461–470. 1 indexed citations
17.
Sabia, R., Mattia Marconcini, Thomas Katagis, et al.. (2012). Preliminary results of SMOS salinity retrieval by using Support Vector Regression (SVR). elib (German Aerospace Center). 2629–2632. 3 indexed citations
18.
Veraverbeke, Sander, Ioannis Z. Gitas, Thomas Katagis, et al.. (2012). Assessing post-fire vegetation recovery using red–near infrared vegetation indices: Accounting for background and vegetation variability. ISPRS Journal of Photogrammetry and Remote Sensing. 68. 28–39. 111 indexed citations
19.
Veraverbeke, Sander, Ben Somers, Ioannis Z. Gitas, et al.. (2011). Spectral mixture analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: Accounting for soil brightness variation. International Journal of Applied Earth Observation and Geoinformation. 14(1). 1–11. 44 indexed citations
20.
Alexandridis, Thomas, et al.. (2010). Investigation of aggregation effects in vegetation condition monitoring at a national scale. International Journal of Geographical Information Systems. 24(4). 507–521. 10 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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