Abolfazl Abdollahi

1.7k total citations · 3 hit papers
31 papers, 1.2k citations indexed

About

Abolfazl Abdollahi is a scholar working on Environmental Engineering, Ocean Engineering and Media Technology. According to data from OpenAlex, Abolfazl Abdollahi has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 17 papers in Ocean Engineering and 14 papers in Media Technology. Recurrent topics in Abolfazl Abdollahi's work include Remote Sensing and LiDAR Applications (19 papers), Automated Road and Building Extraction (16 papers) and Remote-Sensing Image Classification (13 papers). Abolfazl Abdollahi is often cited by papers focused on Remote Sensing and LiDAR Applications (19 papers), Automated Road and Building Extraction (16 papers) and Remote-Sensing Image Classification (13 papers). Abolfazl Abdollahi collaborates with scholars based in Australia, Malaysia and Saudi Arabia. Abolfazl Abdollahi's co-authors include Biswajeet Pradhan, Abdullah Alamri, Nagesh Shukla, Subrata Chakraborty, Shilpa Gite, Marta Yebra, Khairul Nizam Abdul Maulud, Gaurav Sharma, Ali M. Rajabi and Arman Shafiee and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Abolfazl Abdollahi

30 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review

2020 219 citations Abolfazl Abdollahi, Biswajeet Pradhan et al. Remote Sensing profile →
Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model

2023 101 citations Abolfazl Abdollahi, Biswajeet Pradhan The Science of The Total Environment profile →
The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis

2024 52 citations Niloofar Seighali, Abolfazl Abdollahi et al. BMC Psychiatry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abolfazl Abdollahi Australia	20	576	535	448	271	216	31	1.2k
Guangliang Cheng China	11	497 0.9×	486 0.9×	424 0.9×	275 1.0×	98 0.5×	20	999
Yilei Shi Germany	22	411 0.7×	276 0.5×	521 1.2×	387 1.4×	266 1.2×	99	1.6k
Hossein Arefi Iran	20	773 1.3×	324 0.6×	255 0.6×	292 1.1×	149 0.7×	119	1.3k
Chunsun Zhang Australia	16	813 1.4×	484 0.9×	285 0.6×	223 0.8×	295 1.4×	37	1.4k
Dimitrios Marmanis Germany	9	344 0.6×	291 0.5×	768 1.7×	649 2.4×	174 0.8×	11	1.4k
Andy Gardiner United Kingdom	9	270 0.5×	208 0.4×	599 1.3×	219 0.8×	322 1.5×	15	1.3k
Isabel Sargent United Kingdom	9	333 0.6×	185 0.3×	695 1.6×	253 0.9×	360 1.7×	19	1.3k
Fabio Giulio Tonolo Italy	16	367 0.6×	134 0.3×	170 0.4×	134 0.5×	194 0.9×	64	1.1k
Andrea Nascetti Sweden	19	390 0.7×	140 0.3×	258 0.6×	164 0.6×	625 2.9×	71	1.3k

Countries citing papers authored by Abolfazl Abdollahi

Since Specialization

Citations

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

Fields of papers citing papers by Abolfazl Abdollahi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abolfazl Abdollahi

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

All Works

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20 of 20 papers shown

Abdollahi, Abolfazl & Marta Yebra. (2025). Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review. Remote Sensing. 17(3). 415–415. 5 indexed citations

Shafiee, Arman, et al.. (2024). Global prevalence of anxiety symptoms and its associated factors in older adults: A systematic review and meta‐analysis. Journal of General and Family Medicine. 26(2). 116–127. 2 indexed citations

Seighali, Niloofar, Abolfazl Abdollahi, Arman Shafiee, et al.. (2024). The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis. BMC Psychiatry. 24(1). 105–105. 52 indexed citations breakdown →

Nejad, Aida Rezaei, et al.. (2024). Incident diabetes in adolescents using antidepressant: a systematic review and meta-analysis. European Child & Adolescent Psychiatry. 34(2). 599–610. 2 indexed citations

Shafiee, Arman, et al.. (2024). Investigating the Relationship between Smoking and Panic Disorder: A Cross-Sectional Study among US Adults. Depression and Anxiety. 2024. 1–7.

Abdollahi, Abolfazl, Biswajeet Pradhan, & Abdullah Alamri. (2023). Regional-Scale Analysis of Vegetation Dynamics Using Satellite Data and Machine Learning Algorithms: A Multi-Factorial Approach. International Journal on Smart Sensing and Intelligent Systems. 16(1). 1 indexed citations

Abdollahi, Abolfazl & Biswajeet Pradhan. (2023). Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model. The Science of The Total Environment. 879. 163004–163004. 101 indexed citations breakdown →

Abdollahi, Abolfazl, Biswajeet Pradhan, Abdullah Alamri, & Chang-Wook Lee. (2023). Google Earth Engine for Advanced Land Cover Analysis from Landsat‐8 Data with Spectral and Topographic Insights. Journal of Sensors. 2023(1). 3 indexed citations

Abdollahi, Abolfazl & Marta Yebra. (2023). Forest fuel type classification: Review of remote sensing techniques, constraints and future trends. Journal of Environmental Management. 342. 118315–118315. 23 indexed citations

10.

Abdollahi, Abolfazl, Biswajeet Pradhan, & Abdullah Alamri. (2022). SC-RoadDeepNet: A New Shape and Connectivity-Preserving Road Extraction Deep Learning-Based Network From Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 35 indexed citations

11.

Abdollahi, Abolfazl & Biswajeet Pradhan. (2021). Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI). Sensors. 21(14). 4738–4738. 78 indexed citations

12.

Abdollahi, Abolfazl, Biswajeet Pradhan, & Abdullah Alamri. (2021). RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up. GIScience & Remote Sensing. 58(7). 1151–1174. 41 indexed citations

13.

Abdollahi, Abolfazl, Biswajeet Pradhan, Nagesh Shukla, Subrata Chakraborty, & Abdullah Alamri. (2021). Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data. Remote Sensing. 13(18). 3710–3710. 37 indexed citations

14.

Abdollahi, Abolfazl, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, & Abdullah Alamri. (2021). Improving Road Semantic Segmentation Using Generative Adversarial Network. IEEE Access. 9. 64381–64392. 51 indexed citations

15.

Abdollahi, Abolfazl & Biswajeet Pradhan. (2021). Integrating semantic edges and segmentation information for building extraction from aerial images using UNet. SHILAP Revista de lepidopterología. 6. 100194–100194. 38 indexed citations

16.

Abdollahi, Abolfazl, Biswajeet Pradhan, Shilpa Gite, & Abdullah Alamri. (2020). Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture. IEEE Access. 8. 209517–209527. 66 indexed citations

17.

Abdollahi, Abolfazl, Biswajeet Pradhan, Nagesh Shukla, Subrata Chakraborty, & Abdullah Alamri. (2020). Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review. Remote Sensing. 12(9). 1444–1444. 219 indexed citations breakdown →

18.

Abdollahi, Abolfazl, Biswajeet Pradhan, & Nagesh Shukla. (2020). Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural Network. Journal of the Indian Society of Remote Sensing. 49(3). 569–583. 24 indexed citations

19.

Abdollahi, Abolfazl, et al.. (2017). Investigation of SVM and Level Set Interactive Methods for Road Extraction from Google Earth Images. Journal of the Indian Society of Remote Sensing. 46(3). 423–430. 36 indexed citations

20.

Abdollahi, Abolfazl, et al.. (2016). Evaluation of the Full Lambda and SVM Methods Capability to Extract Roads from Digital Images. 5(2). 1 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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