A. S. Albahri

11.3k total citations · 6 hit papers
166 papers, 7.5k citations indexed

About

A. S. Albahri is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, A. S. Albahri has authored 166 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 36 papers in Management Science and Operations Research and 29 papers in Computer Networks and Communications. Recurrent topics in A. S. Albahri's work include Multi-Criteria Decision Making (33 papers), IoT and Edge/Fog Computing (17 papers) and COVID-19 diagnosis using AI (16 papers). A. S. Albahri is often cited by papers focused on Multi-Criteria Decision Making (33 papers), IoT and Edge/Fog Computing (17 papers) and COVID-19 diagnosis using AI (16 papers). A. S. Albahri collaborates with scholars based in Iraq, Malaysia and Jordan. A. S. Albahri's co-authors include O. S. Albahri, A. A. Zaidan, B. B. Zaidan, A. H. Alamoodi, M. A. Alsalem, K. I. Mohammed, Rula A. Hamid, Laith Alzubaidi, Alhamzah Alnoor and A. H. Mohsin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

A. S. Albahri

161 papers receiving 7.2k citations

Hit Papers

A survey on deep learning... 2020 2026 2022 2024 2023 2023 2020 2021 2024 100 200 300 400
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.

  1. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
    2023 420 citations Laith Alzubaidi, A. S. Albahri et al. profile →
  2. A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
    2023 372 citations A. S. Albahri, Alhamzah Alnoor et al. profile →
  3. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
    2020 261 citations A. H. Alamoodi, B. B. Zaidan et al. Expert Systems with Applications profile →
  4. Telehealth utilization during the Covid-19 pandemic: A systematic review
    2021 242 citations Salem Garfan, A. H. Alamoodi et al. profile →
  5. Comprehensive systematic review of information fusion methods in smart cities and urban environments
    2024 86 citations A. S. Albahri, Laith Alzubaidi et al. profile →
  6. A systematic review of trustworthy artificial intelligence applications in natural disasters
    2024 78 citations A. S. Albahri, Muhammet Deveci et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. S. Albahri Iraq 48 1.9k 1.2k 1.1k 1.1k 882 166 7.5k
O. S. Albahri Malaysia 50 1.6k 0.9× 1.2k 1.0× 1.2k 1.0× 1.2k 1.1× 808 0.9× 133 6.9k
Ketan Kotecha India 41 2.0k 1.1× 815 0.7× 795 0.7× 1.2k 1.0× 1.1k 1.2× 397 7.6k
Simon Fong Macao 39 2.8k 1.5× 917 0.8× 934 0.8× 328 0.3× 942 1.1× 428 7.1k
Sotiris Kotsiantis Greece 32 4.9k 2.6× 927 0.8× 1.7k 1.4× 529 0.5× 976 1.1× 185 11.3k
Lina Yao Australia 46 3.0k 1.6× 1.3k 1.1× 2.3k 2.0× 489 0.4× 2.0k 2.3× 309 7.8k
B. B. Zaidan Malaysia 66 2.6k 1.4× 2.5k 2.1× 2.5k 2.2× 1.8k 1.6× 2.7k 3.0× 251 12.5k
Gunasekaran Manogaran United States 45 1.7k 0.9× 1.6k 1.3× 1.4k 1.2× 351 0.3× 1.6k 1.8× 122 6.6k
Mohammed Azmi Al‐Betar Jordan 52 4.4k 2.4× 1.1k 1.0× 676 0.6× 632 0.6× 1.0k 1.2× 265 9.1k
A. H. Alamoodi Iraq 35 1.2k 0.6× 564 0.5× 560 0.5× 621 0.5× 342 0.4× 102 4.3k
A. A. Zaidan Malaysia 67 2.7k 1.5× 2.5k 2.1× 2.6k 2.3× 2.2k 1.9× 2.7k 3.0× 260 13.0k

Countries citing papers authored by A. S. Albahri

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Albahri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Albahri. 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 A. S. Albahri. The network helps show where A. S. Albahri may publish in the future.

Co-authorship network of co-authors of A. S. Albahri

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Albahri. A scholar is included among the top collaborators of A. S. Albahri 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 A. S. Albahri. A. S. Albahri 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.
Albahri, A. S., Mohammed S. Al-Samarraay, O. S. Albahri, et al.. (2025). Evaluation and Benchmarking Trauma Patients in Intensive Care Units Using a Novel Decision-Making Framework. International Journal of Information Technology & Decision Making. 24(7). 2005–2041. 1 indexed citations
2.
Albahri, A. S., et al.. (2025). Strategies for protection against adversarial attacks in AI models: An in-depth review. Journal of Intelligent Systems. 34(1). 1 indexed citations
3.
4.
Albahri, A. S., et al.. (2024). Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods. Journal of Intelligent Systems. 33(1). 15 indexed citations
5.
Alamoodi, A. H., et al.. (2024). Evaluation of energy economic optimization models using multi-criteria decision-making approach. Expert Systems with Applications. 255. 124842–124842. 4 indexed citations
6.
Homod, Raad Z., Hayder I. Mohammed, Mohamed Bechir Ben Hamida, et al.. (2024). Optimal shifting of peak load in smart buildings using multiagent deep clustering reinforcement learning in multi-tank chilled water systems. Journal of Energy Storage. 92. 112140–112140. 19 indexed citations
7.
Al-Qaysi, Z.T., A. S. Albahri, Rula A. Hamid, et al.. (2024). A comprehensive review of deep learning power in steady-state visual evoked potentials. Neural Computing and Applications. 36(27). 16683–16706. 7 indexed citations
8.
Albahri, A. S., Laith Alzubaidi, Rula A. Hamid, et al.. (2024). A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems. International Journal of Information Technology & Decision Making. 24(8). 2533–2585. 20 indexed citations
9.
10.
Deveci, Muhammet, A. S. Albahri, Salman Yussof, et al.. (2024). Selection of electric bus models using 2-tuple linguistic T-spherical fuzzy-based decision-making model. Expert Systems with Applications. 249. 123498–123498. 16 indexed citations
11.
Chew, XinYing, et al.. (2024). A Systematic Review of Artificial Intelligence in Orthopaedic Disease Detection: A Taxonomy for Analysis and Trustworthiness Evaluation. International Journal of Computational Intelligence Systems. 17(1). 5 indexed citations
12.
Mohammed, R. T., A. H. Alamoodi, O. S. Albahri, et al.. (2023). A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment. Applied Soft Computing. 143. 110297–110297. 25 indexed citations
13.
Sharaf, Iman Mohamad, A. H. Alamoodi, O. S. Albahri, et al.. (2023). Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model. Expert Systems with Applications. 237. 121420–121420. 15 indexed citations
14.
Talal, Mohammed, A. H. Alamoodi, O. S. Albahri, A. S. Albahri, & Dragan Pamučar. (2023). Evaluation of remote sensing techniques-based water quality monitoring for sustainable hydrological applications: an integrated FWZIC-VIKOR modelling approach. Environment Development and Sustainability. 26(8). 19685–19729. 16 indexed citations
15.
16.
Alnoor, Alhamzah, A. A. Zaidan, Sarah Qahtan, et al.. (2022). Toward a Sustainable Transportation Industry: Oil Company Benchmarking Based on the Extension of Linear Diophantine Fuzzy Rough Sets and Multicriteria Decision-Making Methods. IEEE Transactions on Fuzzy Systems. 31(2). 449–459. 46 indexed citations
17.
Al-Samarraay, Mohammed S., A. A. Zaidan, O. S. Albahri, et al.. (2021). Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition and sensor glove perspectives. Applied Soft Computing. 116. 108284–108284. 45 indexed citations
18.
Al-Qaysi, Z.T., Mohamed A. Ahmed, Ahmed Faeq Hussein, et al.. (2021). Systematic review of training environments with motor imagery brain–computer interface: Coherent taxonomy, open issues and recommendation pathway solution. Health and Technology. 11(4). 783–801. 32 indexed citations
19.
Mohsin, A. H., M. J. Baqer, A. H. Alamoodi, et al.. (2020). Finger Vein Biometrics: Taxonomy Analysis, Open Challenges, Future Directions, and Recommended Solution for Decentralised Network Architectures. IEEE Access. 8. 9821–9845. 41 indexed citations
20.
Albahri, A. S., Rula A. Hamid, Jwan K. Alwan, et al.. (2020). Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review. Journal of Medical Systems. 44(7). 122–122. 201 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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