F. Sunar

2.0k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

F. Sunar is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, F. Sunar has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 22 papers in Ecology and 20 papers in Environmental Engineering. Recurrent topics in F. Sunar's work include Remote Sensing in Agriculture (19 papers), Remote-Sensing Image Classification (17 papers) and Remote Sensing and LiDAR Applications (15 papers). F. Sunar is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Remote-Sensing Image Classification (17 papers) and Remote Sensing and LiDAR Applications (15 papers). F. Sunar collaborates with scholars based in Türkiye, Germany and United Kingdom. F. Sunar's co-authors include Coşkun Özkan, Batuhan Osmanoğlu, Shimon Wdowinski, Enrique Cabral‐Cano, Malcolm Taberner, Derya Maktav, Saygın Abdikan, Francesco Pirotti, Füsun Balık Şanlı and Anıl Akın and has published in prestigious journals such as SHILAP Revista de lepidopterología, Marine Pollution Bulletin and International Journal of Remote Sensing.

In The Last Decade

F. Sunar

60 papers receiving 1.4k citations

Hit Papers

Time series analysis of InSAR data: Methods and trends 2015 2026 2018 2022 2015 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
F. Sunar Türkiye 18 522 405 379 378 312 63 1.5k
Füsun Balık Şanlı Türkiye 20 428 0.8× 440 1.1× 445 1.2× 266 0.7× 327 1.0× 83 1.3k
Charalampos Kontoes Greece 25 708 1.4× 499 1.2× 330 0.9× 462 1.2× 365 1.2× 142 2.0k
Saygın Abdikan Türkiye 20 349 0.7× 466 1.2× 567 1.5× 302 0.8× 374 1.2× 76 1.3k
Peter Strobl Italy 19 609 1.2× 636 1.6× 496 1.3× 319 0.8× 235 0.8× 61 1.6k
Konstantinos G. Nikolakopoulos Greece 25 493 0.9× 340 0.8× 645 1.7× 315 0.8× 257 0.8× 188 2.1k
Andrea Nascetti Sweden 19 625 1.2× 407 1.0× 390 1.0× 269 0.7× 204 0.7× 71 1.3k
Krištof Oštir Slovenia 17 437 0.8× 317 0.8× 948 2.5× 395 1.0× 174 0.6× 63 2.0k
Giovanni Laneve Italy 22 694 1.3× 699 1.7× 415 1.1× 203 0.5× 184 0.6× 130 1.7k
Andreas Schmitt Germany 19 541 1.0× 421 1.0× 427 1.1× 333 0.9× 352 1.1× 76 1.5k
Simon Plank Germany 21 943 1.8× 246 0.6× 333 0.9× 721 1.9× 575 1.8× 78 1.9k

Countries citing papers authored by F. Sunar

Since Specialization
Citations

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

Fields of papers citing papers by F. Sunar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Sunar

This figure shows the co-authorship network connecting the top 25 collaborators of F. Sunar. A scholar is included among the top collaborators of F. Sunar 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 F. Sunar. F. Sunar 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.
Sunar, F., et al.. (2024). FIRE WEATHER INDEX AND FOREST FIRE DANGER MAPPING: INSIGHTS FROM A CASE STUDY IN ANTALYA - MANAVGAT FOREST, TURKIYE. SHILAP Revista de lepidopterología. XLVIII-4/W9-2024. 53–59. 3 indexed citations
2.
KARA, Şevket Metin, et al.. (2024). A COMPARATIVE STUDY OF SATELLITE IMAGE RESOLUTIONS FOR DETECTING PEST DAMAGE IN SUNFLOWER FIELDS. SHILAP Revista de lepidopterología. XLVIII-4/W9-2024. 133–139.
4.
Sunar, F., et al.. (2023). CYCLE-GAN BASED FEATURE TRANSLATION FOR OPTICAL-SAR DATA IN BURNED AREA MAPPING. SHILAP Revista de lepidopterología. XLVIII-M-1-2023. 491–496. 2 indexed citations
5.
Chandra, Ramesh, et al.. (2021). THE USE OF SENTINEL 1/2 VEGETATION INDEXES WITH GEE TIME SERIES DATA IN DETECTING LAND COVER CHANGES IN THE SINOP NUCLEAR POWER PLANT CONSTRUCTION SITE. SHILAP Revista de lepidopterología. XLIII-B3-2021. 701–706. 8 indexed citations
6.
Sunar, F., et al.. (2017). A study of earthquake-induced building detection by object oriented classification approach. EGUGA. 18611. 2 indexed citations
7.
Sunar, F., et al.. (2016). PRELIMINARY RESULTS OF EARTHQUAKE-INDUCED BUILDING DAMAGE DETECTION WITH OBJECT-BASED IMAGE CLASSIFICATION. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B7. 347–350. 3 indexed citations
8.
Sunar, F., et al.. (2016). PRELIMINARY RESULTS OF EARTHQUAKE-INDUCED BUILDING DAMAGE DETECTION WITH OBJECT-BASED IMAGE CLASSIFICATION. SHILAP Revista de lepidopterología. XLI-B7. 347–350. 1 indexed citations
9.
Osmanoğlu, Batuhan, F. Sunar, Shimon Wdowinski, & Enrique Cabral‐Cano. (2015). Time series analysis of InSAR data: Methods and trends. ISPRS Journal of Photogrammetry and Remote Sensing. 115. 90–102. 352 indexed citations breakdown →
10.
Bayram, Bülent, et al.. (2013). Comparison of support vector machine and object based classification methods for coastline detection. SHILAP Revista de lepidopterología. XL-7/W2. 125–127. 20 indexed citations
11.
Şanlı, Füsun Balık, et al.. (2013). Fusion of terrasar-x and rapideye data: a quality analysis. SHILAP Revista de lepidopterología. XL-7/W2. 27–30. 8 indexed citations
12.
Bayram, Bülent, et al.. (2012). AN ALGORITHM FOR COASTLINE DETECTION USING SAR IMAGES. SHILAP Revista de lepidopterología. XXXIX-B3. 457–460. 15 indexed citations
13.
Özkan, Coşkun, Celal Öztürk, F. Sunar, & Derviş Karaboğa. (2011). THE ARTIFICIAL BEE COLONY ALGORITHM IN TRAINING ARTIFICIAL NEURAL NETWORK FOR OIL SPILL DETECTION. Neural Network World. 21(6). 473–492. 25 indexed citations
14.
Maktav, Derya, James Crow, Berrak Ç. Yeğen, et al.. (2009). Integration of remote sensing and GIS for archaeological investigations. International Journal of Remote Sensing. 30(7). 1663–1673. 8 indexed citations
15.
Sunar, F., et al.. (2006). The use of optic and radar satellite data for coastal environments. International Journal of Remote Sensing. 27(17). 3739–3747. 8 indexed citations
16.
Sunar, F. & Coşkun Özkan. (2001). Forest fire analysis with remote sensing data. International Journal of Remote Sensing. 22(12). 2265–2277. 83 indexed citations
17.
Sunar, F.. (2000). Monitoring Loggerhead Sea Turtle (Caretta caretta) Nests in Turkey Using GIS. Coastal Management. 28(2). 123–132. 6 indexed citations
18.
Maktav, Derya, et al.. (2000). MONITORING URBAN EXPANSION IN THE BÜYÜKÇEKMECE DISTRICT OF 8STANBUL USING SATELLITE DATA. 3 indexed citations
19.
Sunar, F.. (1998). An analysis of changes in a multi-date data set: A case study in the Ikitelli area, Istanbul, Turkey. International Journal of Remote Sensing. 19(2). 225–235. 56 indexed citations
20.
Sunar, F. & Ş. Kaya. (1997). Technical note An assessment of the geometric accuracy of remotely-sensed images. International Journal of Remote Sensing. 18(14). 3069–3074. 9 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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