Salah Al-Sharhan

1.6k total citations
58 papers, 1.1k citations indexed

About

Salah Al-Sharhan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Salah Al-Sharhan has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Control and Systems Engineering and 14 papers in Information Systems. Recurrent topics in Salah Al-Sharhan's work include Metaheuristic Optimization Algorithms Research (8 papers), Mobile Learning in Education (7 papers) and Online and Blended Learning (7 papers). Salah Al-Sharhan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Mobile Learning in Education (7 papers) and Online and Blended Learning (7 papers). Salah Al-Sharhan collaborates with scholars based in Kuwait, Canada and Malaysia. Salah Al-Sharhan's co-authors include Wail Gueaieb, Ahmed Al-Hunaiyyan, Mahamed G. H. Omran, Fakhri Karray, Fakhreddine Karray, Fakhri Karray, Otman Basir, Andrew Thomas Bimba, Miodrag Bolić and Antonis C. Simintiras and has published in prestigious journals such as Automatica, International Journal of Information Management and Applied Soft Computing.

In The Last Decade

Salah Al-Sharhan

54 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salah Al-Sharhan Kuwait 18 294 266 213 182 147 58 1.1k
Rubén Heradio Spain 17 180 0.6× 270 1.0× 332 1.6× 209 1.1× 279 1.9× 79 1.6k
Elio Sancristobal Spain 22 197 0.7× 79 0.3× 367 1.7× 275 1.5× 211 1.4× 125 1.7k
Christian Guetl Austria 14 95 0.3× 164 0.6× 356 1.7× 360 2.0× 106 0.7× 73 1.2k
Chris Messom New Zealand 17 107 0.4× 211 0.8× 125 0.6× 59 0.3× 83 0.6× 72 1.0k
Gabriel Díaz Spain 17 73 0.2× 60 0.2× 359 1.7× 178 1.0× 147 1.0× 110 1.3k
Javier García-Zubía Spain 22 189 0.6× 45 0.2× 276 1.3× 216 1.2× 464 3.2× 165 2.2k
Mutasem K. Alsmadi Saudi Arabia 27 97 0.3× 359 1.3× 455 2.1× 93 0.5× 51 0.3× 109 1.9k
Haider TH. Salim ALRikabi Iraq 32 104 0.4× 413 1.6× 457 2.1× 450 2.5× 84 0.6× 95 2.3k
Jacky Baltes Canada 16 236 0.8× 245 0.9× 84 0.4× 47 0.3× 236 1.6× 92 1.1k
Moslem Yousefi Malaysia 22 83 0.3× 363 1.4× 128 0.6× 118 0.6× 60 0.4× 55 1.2k

Countries citing papers authored by Salah Al-Sharhan

Since Specialization
Citations

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

Fields of papers citing papers by Salah Al-Sharhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salah Al-Sharhan. 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 Salah Al-Sharhan. The network helps show where Salah Al-Sharhan may publish in the future.

Co-authorship network of co-authors of Salah Al-Sharhan

This figure shows the co-authorship network connecting the top 25 collaborators of Salah Al-Sharhan. A scholar is included among the top collaborators of Salah Al-Sharhan 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 Salah Al-Sharhan. Salah Al-Sharhan 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.
Abouheaf, Mohammed, et al.. (2023). Real-time measurement-driven reinforcement learning control approach for uncertain nonlinear systems. Engineering Applications of Artificial Intelligence. 122. 106029–106029. 11 indexed citations
2.
Al-Hunaiyyan, Ahmed, et al.. (2021). An Integrated Implementation Framework for an Efficient Transformation to Online Education. International Journal of Advanced Computer Science and Applications. 12(4). 4 indexed citations
3.
Al-Hunaiyyan, Ahmed, et al.. (2017). Prospects and Challenges of Mobile Learning Implementation: Kuwait HE Case Study.. 4. 143–150. 2 indexed citations
4.
Al-Hunaiyyan, Ahmed, et al.. (2017). Instructors Age and Gender Differences in the Acceptance of Mobile Learning. International Journal of Interactive Mobile Technologies (iJIM). 11(4). 4–4. 22 indexed citations
5.
Al–Anzi, Fawaz S., et al.. (2017). Efficient Fuzzy Techniques for Medical Data Clustering. 1–9. 3 indexed citations
6.
Al-Hunaiyyan, Ahmed, et al.. (2017). A New Mobile Learning Model in the Context of the Smart Classrooms Environment: A Holistic Approach. International Journal of Interactive Mobile Technologies (iJIM). 11(3). 39–39. 56 indexed citations
7.
Al-Sharhan, Salah & Mahamed G. H. Omran. (2016). An enhanced symbiosis organisms search algorithm: an empirical study. Neural Computing and Applications. 29(11). 1025–1043. 13 indexed citations
8.
Abraham, Ajith, Sang Yong Han, Salah Al-Sharhan, & Hongbo Liu. (2015). Hybrid Intelligent Systems: 15th International Conference HIS 2015 on Hybrid Intelligent Systems, Seoul, South Korea, November 16-18, 2015. Springer eBooks. 2 indexed citations
9.
Salman, Ayed, Mahamed G. H. Omran, Maurice Clerc, & Salah Al-Sharhan. (2015). Improving the performance of comprehensive learning particle swarm optimizer. Journal of Intelligent & Fuzzy Systems. 30(2). 735–746. 6 indexed citations
10.
Omran, Mahamed G. H., Salah Al-Sharhan, Ayed Salman, & Maurice Clerc. (2013). Studying the effect of using low-discrepancy sequences to initialize population-based optimization algorithms. Computational Optimization and Applications. 56(2). 457–480. 4 indexed citations
11.
Al-Sharhan, Salah & Ahmed Al-Hunaiyyan. (2012). Towards an effective integrated e-learning system: Implementation, quality assurance and competency models. 274–279. 11 indexed citations
12.
13.
Al-Sharhan, Salah. (2010). ARTIFICIAL IMMUNE SYSTEMS - MODELS, ALGORITHMS AND APPLICATIONS. 3(2). 62 indexed citations
14.
Al-Hunaiyyan, Ahmed & Salah Al-Sharhan. (2009). The design of multimedia blended e-learning systems: Cultural considerations. 1–5. 8 indexed citations
15.
Gueaieb, Wail, Fakhreddine Karray, & Salah Al-Sharhan. (2007). A Robust Hybrid Intelligent Position/Force Control Scheme for Cooperative Manipulators. IEEE/ASME Transactions on Mechatronics. 12(2). 109–125. 116 indexed citations
16.
Al-Sharhan, Salah, Ahmed Al-Hunaiyyan, & Wail Gueaieb. (2006). Success factors for an efficient blended elearning.. 77–82. 4 indexed citations
17.
Gueaieb, Wail, Fakhri Karray, & Salah Al-Sharhan. (2003). A robust adaptive fuzzy position/force control scheme for cooperative manipulators. IEEE Transactions on Control Systems Technology. 11(4). 516–528. 50 indexed citations
18.
Al-Sharhan, Salah, Fakhri Karray, & Wail Gueaieb. (2003). Learning-based resource optimization in asynchronous transfer mode (ATM) networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(1). 122–132. 3 indexed citations
19.
Gueaieb, Wail, Fakhri Karray, Salah Al-Sharhan, & Otman Basir. (2003). A hybrid adaptive fuzzy approach for the control of cooperative manipulators. 2. 2153–2158. 2 indexed citations
20.
Karray, Fakhri, Wail Gueaieb, Salah Al-Sharhan, & Adam Wong. (2002). Soft computing techniques as applied to expert tuning of PID controllers. 91–96. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rubén Heradio Breakdown of academic impact, for papers by Elio Sancristobal Breakdown of academic impact, for papers by Christian Guetl Breakdown of academic impact, for papers by Chris Messom Breakdown of academic impact, for papers by Gabriel Díaz Breakdown of academic impact, for papers by Javier García-Zubía Breakdown of academic impact, for papers by Mutasem K. Alsmadi Breakdown of academic impact, for papers by Haider TH. Salim ALRikabi Breakdown of academic impact, for papers by Jacky Baltes Breakdown of academic impact, for papers by Moslem Yousefi
Rankless by CCL
2026