Saman Ghaffarian

1.2k total citations
34 papers, 769 citations indexed

About

Saman Ghaffarian is a scholar working on Media Technology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Saman Ghaffarian has authored 34 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 9 papers in Atmospheric Science and 9 papers in Global and Planetary Change. Recurrent topics in Saman Ghaffarian's work include Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers) and Remote Sensing and LiDAR Applications (6 papers). Saman Ghaffarian is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers) and Remote Sensing and LiDAR Applications (6 papers). Saman Ghaffarian collaborates with scholars based in Netherlands, United Kingdom and Türkiye. Saman Ghaffarian's co-authors include Norman Kerle, Tatiana Filatova, Mariska van der Voort, João Valente, Bedir Teki̇nerdoğan, Firouzeh Taghikhah, Holger R. Maier, Edoardo Pasolli, Jamal Jokar Arsanjani and Debraj Roy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Geoscience and IEEE Access.

In The Last Decade

Saman Ghaffarian

30 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saman Ghaffarian Netherlands 15 267 194 163 126 123 34 769
Diogo Duarte Portugal 15 254 1.0× 124 0.6× 112 0.7× 177 1.4× 150 1.2× 33 980
Ralph Kiefl Germany 7 140 0.5× 155 0.8× 107 0.7× 86 0.7× 65 0.5× 20 524
Piero Boccardo Italy 16 100 0.4× 185 1.0× 129 0.8× 229 1.8× 92 0.7× 108 857
Mingyi Du China 19 160 0.6× 374 1.9× 187 1.1× 294 2.3× 58 0.5× 71 896
Hongzan Jiao China 18 200 0.7× 248 1.3× 110 0.7× 46 0.4× 113 0.9× 46 776
Peng Luo China 17 83 0.3× 201 1.0× 81 0.5× 166 1.3× 139 1.1× 81 823
Charles Huyck United States 15 166 0.6× 206 1.1× 179 1.1× 80 0.6× 40 0.3× 46 805
Yakun Xie China 18 258 1.0× 123 0.6× 108 0.7× 166 1.3× 306 2.5× 48 863
Christian Geiß Germany 23 510 1.9× 449 2.3× 330 2.0× 252 2.0× 97 0.8× 69 1.3k

Countries citing papers authored by Saman Ghaffarian

Since Specialization
Citations

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

Fields of papers citing papers by Saman Ghaffarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saman Ghaffarian

This figure shows the co-authorship network connecting the top 25 collaborators of Saman Ghaffarian. A scholar is included among the top collaborators of Saman Ghaffarian 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 Saman Ghaffarian. Saman Ghaffarian 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.
Ghaffarian, Saman, et al.. (2025). Towards reliable deep learning for post-disaster damage Assessment: An XAI-based evaluation. International Journal of Disaster Risk Reduction. 130. 105839–105839.
2.
Dramsch, Jesper, Miguel‐Ángel Fernández‐Torres, Andrea Toreti, et al.. (2025). Explainability can foster trust in artificial intelligence in geoscience. Nature Geoscience. 18(2). 112–114. 14 indexed citations
3.
Pirasteh, Saied, Davood Mafi-Gholami, Tao Wang, et al.. (2025). Social vulnerability: A driving force in amplifying the overall vulnerability of protected areas to natural hazards. Heliyon. 11(4). e42617–e42617.
4.
Ghaffarian, Saman. (2025). Rethinking digital twin: Introducing digital risk twin for disaster risk management. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
5.
Ghaffarian, Saman, et al.. (2025). Earthquake-based multi-hazard resilience assessment: a case study of Istanbul, Turkey (neighborhood level). SHILAP Revista de lepidopterología. 2(1). 4 indexed citations
6.
Sun, Ting, et al.. (2024). GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling. Scientific Data. 11(1). 618–618. 7 indexed citations
7.
Ghaffarian, Saman, et al.. (2024). Evaluating multi-hazard preparedness for a major earthquake: A case study of Tabriz city (NW Iran). International Journal of Disaster Risk Reduction. 116. 105086–105086. 2 indexed citations
8.
Sannigrahi, Srikanta, et al.. (2024). Assessment and Modeling of Green Roof System Hydrological Effectiveness in Runoff Control: A Case Study in Dublin. IEEE Access. 12. 189689–189709. 1 indexed citations
9.
Delavar, M. R., et al.. (2023). GROUNDWATER LEVEL PREDICTION USING DEEP RECURRENT NEURAL NETWORKS AND UNCERTAINTY ASSESSMENT. SHILAP Revista de lepidopterología. X-1/W1-2023. 493–500. 2 indexed citations
10.
Ghaffarian, Saman, Mariska van der Voort, João Valente, Bedir Teki̇nerdoğan, & Yann de Mey. (2021). Machine learning-based farm risk management: A systematic mapping review. Computers and Electronics in Agriculture. 192. 106631–106631. 16 indexed citations
11.
Kerle, Norman, et al.. (2019). Evaluating Resilience-Centered Development Interventions with Remote Sensing. Remote Sensing. 11(21). 2511–2511. 15 indexed citations
12.
Ghaffarian, Saman & Norman Kerle. (2019). Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach. University of Twente Research Information. 6 indexed citations
13.
Ghaffarian, Saman & Norman Kerle. (2019). TOWARDS POST-DISASTER DEBRIS IDENTIFICATION FOR PRECISE DAMAGE AND RECOVERY ASSESSMENTS FROM UAV AND SATELLITE IMAGES. SHILAP Revista de lepidopterología. XLII-2/W13. 297–302. 28 indexed citations
14.
Ghaffarian, Saman, Norman Kerle, Edoardo Pasolli, & Jamal Jokar Arsanjani. (2019). Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data. Remote Sensing. 11(20). 2427–2427. 58 indexed citations
15.
Ghaffarian, Saman, Norman Kerle, & Tatiana Filatova. (2018). A Review of Remote Sensing-Based Proxies and Data Processing Methods for Urban Disaster Risk Management: abstract. Data Archiving and Networked Services (DANS). 16287.
16.
17.
Ghaffarian, Saman, et al.. (2016). Automatic building roof segmentation based on PFICA algorithm and morphological filtering from LiDAR point clouds. University of Twente Research Information. 5 indexed citations
18.
Ghaffarian, Saman, et al.. (2014). Automatic histogram-based fuzzy C-means clustering for remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 97. 46–57. 38 indexed citations
19.
Ghaffarian, Saman, et al.. (2014). Automatic building detection based on Purposive FastICA (PFICA) algorithm using monocular high resolution Google Earth images. ISPRS Journal of Photogrammetry and Remote Sensing. 97. 152–159. 43 indexed citations
20.
Ghaffarian, Saman & Saman Ghaffarian. (2014). Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images. SHILAP Revista de lepidopterología. XL-3. 101–106. 31 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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