Abdullah Alamri

8.8k total citations · 2 hit papers
271 papers, 6.5k citations indexed

About

Abdullah Alamri is a scholar working on Geophysics, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Abdullah Alamri has authored 271 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Geophysics, 36 papers in Global and Planetary Change and 30 papers in Management, Monitoring, Policy and Law. Recurrent topics in Abdullah Alamri's work include earthquake and tectonic studies (48 papers), Seismic Waves and Analysis (38 papers) and Landslides and related hazards (29 papers). Abdullah Alamri is often cited by papers focused on earthquake and tectonic studies (48 papers), Seismic Waves and Analysis (38 papers) and Landslides and related hazards (29 papers). Abdullah Alamri collaborates with scholars based in Saudi Arabia, Australia and India. Abdullah Alamri's co-authors include Biswajeet Pradhan, Abhirup Dikshit, Abolfazl Abdollahi, Manzer H. Siddiqui, Hayssam M. Ali, Saud Alamri, M. Nasir Khan, Nagesh Shukla, Qasi D. Alsubaie and Subrata Chakraborty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Abdullah Alamri

258 papers receiving 6.3k citations

Hit Papers

align trajectories

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.

Melatonin and calcium function synergistically to promote the resilience through ROS metabolism under arsenic-induced stress

2020 269 citations Abdullah Alamri et al. profile →
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. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdullah Alamri Saudi Arabia	44	1.3k	1.0k	973	967	846	271	6.5k
Yong Wang China	44	1.8k 1.3×	366 0.4×	704 0.7×	352 0.4×	1.8k 2.1×	734	9.1k
Li Guo China	40	1.4k 1.1×	566 0.6×	163 0.2×	820 0.8×	1.5k 1.8×	309	5.9k
Zhenhong Li China	58	1.4k 1.1×	2.9k 2.9×	2.1k 2.1×	913 0.9×	2.1k 2.5×	364	11.7k
Fumio Yamazaki Japan	45	770 0.6×	434 0.4×	1.1k 1.1×	263 0.3×	831 1.0×	394	7.7k
Bing Zhang China	46	2.0k 1.5×	487 0.5×	221 0.2×	360 0.4×	1.0k 1.2×	388	8.2k
Guy Richard Germany	47	588 0.4×	435 0.4×	982 1.0×	1.4k 1.5×	1.2k 1.4×	206	7.6k
Margaret A. Oliver United Kingdom	37	1.3k 1.0×	824 0.8×	251 0.3×	694 0.7×	3.9k 4.6×	104	8.5k
Richard A. Bilonick United States	34	755 0.6×	227 0.2×	231 0.2×	296 0.3×	2.1k 2.5×	116	7.0k
Qiang Fu China	53	2.3k 1.7×	342 0.3×	123 0.1×	1.6k 1.6×	1.3k 1.6×	672	12.2k
Ping Wang China	41	1.4k 1.1×	220 0.2×	279 0.3×	322 0.3×	740 0.9×	329	5.3k

Countries citing papers authored by Abdullah Alamri

Since Specialization

Citations

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

Fields of papers citing papers by Abdullah Alamri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Alamri

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Alamri. A scholar is included among the top collaborators of Abdullah Alamri 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 Abdullah Alamri. Abdullah Alamri 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

Thepade, Sudeep D., et al.. (2024). Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model. MethodsX. 14. 103131–103131. 3 indexed citations

Pradhan, Biswajeet, et al.. (2024). Explainable deep learning model for predicting money laundering transactions. International Journal on Smart Sensing and Intelligent Systems. 17(1). 3 indexed citations

Thakkar, Jay, et al.. (2024). Evaluating the Adaptability of Large Language Models for Knowledge-aware Question and Answering. International Journal on Smart Sensing and Intelligent Systems. 17(1).

Pradhan, Biswajeet, et al.. (2024). Harnessing deep learning for detection of diabetic retinopathy in geriatric group using optical coherence tomography angiography-OCTA: A promising approach. MethodsX. 13. 102910–102910. 3 indexed citations

Mane, Deepak, Arun Kulkarni, Biswajeet Pradhan, et al.. (2024). A Novel Fuzzy Hypersphere Neural Network Classifier Using Class Specific Clustering for Robust Pattern Classification. IEEE Access. 12. 124209–124219.

Rahman, Md. Shahriar, et al.. (2024). MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition. IEEE Access. 12. 83638–83657. 2 indexed citations

Ali, Imran, et al.. (2023). Preparation of polyhydroquinone graphene oxide nanocomposite for cephalexin removal from water by adsorption: Simulation, kinetics, and thermodynamic studies. Inorganic Chemistry Communications. 157. 111414–111414. 7 indexed citations

Alamri, Abdullah, et al.. (2023). FTHL17, PRM2, CABYR, CPXCR1, ADAM29, and CABS1 are highly expressed in colon cancer patients and are regulated in vitro by epigenetic alterations. Heliyon. 10(1). e23689–e23689. 4 indexed citations

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

10.

Pradhan, Biswajeet, et al.. (2023). Monitoring soil erosion in support of achieving SDGs: A special focus on rainfall variation and farming systems vulnerability. CATENA. 234. 107537–107537. 11 indexed citations

11.

Gite, Shilpa, et al.. (2023). A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database. Computer Modeling in Engineering & Sciences. 139(1). 593–631. 2 indexed citations

12.

Shaik, Jilani P., et al.. (2023). Identification and characterization of testis-specific gene expressions in mouse tissues. Journal of King Saud University - Science. 35(8). 102851–102851. 1 indexed citations

13.

Pradhan, Biswajeet, et al.. (2022). Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique. Foods. 11(14). 2019–2019. 29 indexed citations

14.

Alshehri, Mohammed, et al.. (2022). Smart-Card Technology for the Dental Management of Medically Complex Patients. Healthcare. 10(11). 2314–2314. 1 indexed citations

15.

Saha, Sunil, Jagabandhu Roy, Tusar Kanti Hembram, et al.. (2021). Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping. Water. 13(19). 2664–2664. 29 indexed citations

16.

Ghosh, Sasanka, Arijit Das, Tusar Kanti Hembram, et al.. (2020). Impact of COVID-19 Induced Lockdown on Environmental Quality in Four Indian Megacities Using Landsat 8 OLI and TIRS-Derived Data and Mamdani Fuzzy Logic Modelling Approach. Sustainability. 12(13). 5464–5464. 57 indexed citations

17.

Saha, Sunil, Anik Saha, Tusar Kanti Hembram, Biswajeet Pradhan, & Abdullah Alamri. (2020). Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya. Applied Sciences. 10(11). 3772–3772. 63 indexed citations

18.

Semlali, Abdelhabib, Narasimha Reddy Parine, Nouf S. Al‐Numair, et al.. (2018). Potential role of Toll-like receptor 2 expression and polymorphisms in colon cancer susceptibility in the Saudi Arabian population. OncoTargets and Therapy. Volume 11. 8127–8141. 29 indexed citations

19.

Bazzi, Mohammad D., Sooad Al-Daihan, Mohammed Alanazi, et al.. (2018). The expression of telomere-related proteins and DNA damage response and their association with telomere length in colorectal cancer in Saudi patients. PLoS ONE. 13(6). e0197154–e0197154. 9 indexed citations

20.

Ali, Alaa M., et al.. (2016). Polymorphisms in DNA Repair GeneXRCC3and Susceptibility to Breast Cancer in Saudi Females. BioMed Research International. 2016. 1–9. 19 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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