Abdulrahman Altalhi

1.2k total citations
52 papers, 870 citations indexed

About

Abdulrahman Altalhi is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Abdulrahman Altalhi has authored 52 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Abdulrahman Altalhi's work include Multi-Criteria Decision Making (6 papers), Wireless Networks and Protocols (5 papers) and Cloud Computing and Resource Management (4 papers). Abdulrahman Altalhi is often cited by papers focused on Multi-Criteria Decision Making (6 papers), Wireless Networks and Protocols (5 papers) and Cloud Computing and Resource Management (4 papers). Abdulrahman Altalhi collaborates with scholars based in Saudi Arabia, Spain and Malaysia. Abdulrahman Altalhi's co-authors include Francisco Herrera, Saleh Alshomrani, Salvador García, Zhong-Liang Zhang, Sebastián Ventura, Zhibin Wu, Farrukh Saleem, Zahid Ullah, Adidah Lajis and Óscar Reyes and has published in prestigious journals such as Computers in Human Behavior, IEEE Access and Information Sciences.

In The Last Decade

Abdulrahman Altalhi

47 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdulrahman Altalhi Saudi Arabia 18 344 175 152 126 86 52 870
Siddhartha Banerjee United States 15 433 1.3× 227 1.3× 83 0.5× 133 1.1× 83 1.0× 74 1.3k
Tak-Lam Wong Hong Kong 21 598 1.7× 73 0.4× 344 2.3× 116 0.9× 44 0.5× 67 938
Vincent Wade Ireland 15 526 1.5× 224 1.3× 410 2.7× 50 0.4× 51 0.6× 68 1.1k
Keli Xiao United States 16 452 1.3× 75 0.4× 208 1.4× 180 1.4× 21 0.2× 50 1.0k
Eva Onaindía Spain 15 432 1.3× 145 0.8× 310 2.0× 65 0.5× 34 0.4× 91 909
Bert Huang United States 18 766 2.2× 112 0.6× 176 1.2× 50 0.4× 140 1.6× 50 1.3k
Jomi Fred Hübner Brazil 14 837 2.4× 257 1.5× 179 1.2× 160 1.3× 57 0.7× 84 1.1k
Dan Sommerfield United States 7 431 1.3× 166 0.9× 371 2.4× 126 1.0× 28 0.3× 8 1.1k
Saravanan Thirumuruganathan United States 16 436 1.3× 209 1.2× 196 1.3× 304 2.4× 52 0.6× 62 831

Countries citing papers authored by Abdulrahman Altalhi

Since Specialization
Citations

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

Fields of papers citing papers by Abdulrahman Altalhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulrahman Altalhi

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulrahman Altalhi. A scholar is included among the top collaborators of Abdulrahman Altalhi 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 Abdulrahman Altalhi. Abdulrahman Altalhi 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.
Wu, Zhibin, et al.. (2022). Mixed Opinion Dynamics Based on DeGroot Model and Hegselmann–Krause Model in Social Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 296–308. 61 indexed citations
2.
Altalhi, Abdulrahman, et al.. (2021). A fusion method for multi-valued data. Information Fusion. 71. 1–10. 6 indexed citations
3.
Altalhi, Abdulrahman, et al.. (2021). Antidiabetic Potential of Selected Medicinal Plants: A Literature Review. Journal of Pharmaceutical Research International. 1–11.
4.
5.
Pȩkala, Barbara, Urszula Bentkowska, Mikel Sesma‐Sara, et al.. (2020). Interval Subsethood Measures with Respect to Uncertainty for the Interval-Valued Fuzzy Setting. International Journal of Computational Intelligence Systems. 13(1). 167–167. 13 indexed citations
6.
Altalhi, Abdulrahman, et al.. (2019). Moderate deviation and restricted equivalence functions for measuring similarity between data. Information Sciences. 501. 19–29. 5 indexed citations
7.
Bajaber, Fuad, Sherif Sakr, Omar Batarfi, Abdulrahman Altalhi, & Ahmed Barnawi. (2019). Benchmarking big data systems: A survey. Computer Communications. 149. 241–251. 15 indexed citations
8.
Ullah, Zahid, et al.. (2019). A Rule-Based Method for Cognitive Competency Assessment in Computer Programming Using Bloom’s Taxonomy. IEEE Access. 7. 64663–64675. 23 indexed citations
9.
Reyes, Óscar, Abdulrahman Altalhi, & Sebastián Ventura. (2018). Statistical comparisons of active learning strategies over multiple datasets. Knowledge-Based Systems. 145. 274–288. 44 indexed citations
10.
Tesoriero, Ricardo & Abdulrahman Altalhi. (2017). Using Distributable User Interfaces in CSCL In-Situ Classrooms. International Journal of Human-Computer Interaction. 34(9). 861–881. 2 indexed citations
11.
Elhag, Salma, Alberto Fernández, Abdulrahman Altalhi, Saleh Alshomrani, & Francisco Herrera. (2017). A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems. Soft Computing. 23(4). 1321–1336. 41 indexed citations
12.
Salama, Reda, et al.. (2017). Mobile cloud computing: An effective multimodal interface tool for students with dyslexia. Computers in Human Behavior. 75. 160–166. 38 indexed citations
13.
Ragab, Abdul Hamid M., et al.. (2017). STRATEGIC DECISION SUPPORT SYSTEM BASED INTEGRATED MODELS FOR UNIVERSITY ADMISSION CAPACITY PLANNING. INTED proceedings. 1. 6218–6226. 1 indexed citations
14.
Tesoriero, Ricardo & Abdulrahman Altalhi. (2017). Model-based development of distributable user interfaces. Universal Access in the Information Society. 18(4). 719–746. 2 indexed citations
15.
Fernández, Alberto, Abdulrahman Altalhi, Saleh Alshomrani, & Francisco Herrera. (2017). Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?. International Journal of Computational Intelligence Systems. 10(1). 1211–1211. 11 indexed citations
16.
Salama, Reda, et al.. (2016). MOBILE CLOUD COMPUTING AND M-LEARNING: STATE OF ART. PONTE International Scientific Researchs Journal. 72(5). 4 indexed citations
17.
Ragab, Abdul Hamid M., et al.. (2015). A Nonlinear Goal Programming Model for University Admission Capacity Planning with Modified Differential Evolution Algorithm. Mathematical Problems in Engineering. 2015. 1–13. 18 indexed citations
18.
Sakr, Sherif, Fuad Bajaber, Ahmed Barnawi, et al.. (2015). Big Data Processing Systems: State-of-the-Art and Open Challenges. 1–8. 7 indexed citations
19.
Tesoriero, Ricardo, et al.. (2013). A Framework to Develop Web Applications Based on RFID Panels.. JUCS - Journal of Universal Computer Science. 19. 1792–1807. 2 indexed citations
20.
Altalhi, Abdulrahman, et al.. (2012). A Framework to Develop Web Applications based on RFID Panels. 37–46. 3 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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