Fahed Alkhabbas

443 total citations
20 papers, 265 citations indexed

About

Fahed Alkhabbas is a scholar working on Computer Networks and Communications, Information Systems and Mechanical Engineering. According to data from OpenAlex, Fahed Alkhabbas has authored 20 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Information Systems and 7 papers in Mechanical Engineering. Recurrent topics in Fahed Alkhabbas's work include IoT and Edge/Fog Computing (9 papers), Modular Robots and Swarm Intelligence (7 papers) and Advanced Software Engineering Methodologies (4 papers). Fahed Alkhabbas is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Modular Robots and Swarm Intelligence (7 papers) and Advanced Software Engineering Methodologies (4 papers). Fahed Alkhabbas collaborates with scholars based in Sweden, Estonia and Italy. Fahed Alkhabbas's co-authors include Paul Davidsson, Romina Spalazzese, Carl Magnus Olsson, Manuel Fernández-Delgado, David Mera, Maura Cerioli, Gianna Reggio, Maurizio Leotta, Sadi Alawadi and Feras M. Awaysheh and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Fahed Alkhabbas

17 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fahed Alkhabbas Sweden 10 96 74 69 62 61 20 265
Thorben Iggena Germany 5 119 1.2× 44 0.6× 72 1.0× 40 0.6× 38 0.6× 9 274
Moez Esseghir France 13 155 1.6× 67 0.9× 72 1.0× 85 1.4× 204 3.3× 44 438
Adnan Akbar United Kingdom 7 142 1.5× 57 0.8× 109 1.6× 90 1.5× 63 1.0× 9 338
Rajalakshmi Selvaraj Botswana 8 75 0.8× 40 0.5× 56 0.8× 40 0.6× 69 1.1× 47 270
Manuel Álvarez-Campana Spain 8 135 1.4× 59 0.8× 61 0.9× 20 0.3× 87 1.4× 23 273
Muhammad Saidu Aliero Malaysia 8 62 0.6× 80 1.1× 45 0.7× 96 1.5× 115 1.9× 16 302
Aditya Gaur United Kingdom 3 133 1.4× 49 0.7× 33 0.5× 31 0.5× 53 0.9× 6 263
Abbas Shah Syed United States 5 140 1.5× 57 0.8× 44 0.6× 44 0.7× 84 1.4× 17 337
Saima Aman United States 8 107 1.1× 97 1.3× 136 2.0× 52 0.8× 203 3.3× 14 439
Lamia Karim Morocco 7 61 0.6× 38 0.5× 39 0.6× 50 0.8× 51 0.8× 26 219

Countries citing papers authored by Fahed Alkhabbas

Since Specialization
Citations

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

Fields of papers citing papers by Fahed Alkhabbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahed Alkhabbas

This figure shows the co-authorship network connecting the top 25 collaborators of Fahed Alkhabbas. A scholar is included among the top collaborators of Fahed Alkhabbas 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 Fahed Alkhabbas. Fahed Alkhabbas 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.
Alkhabbas, Fahed, Hussan Munir, Romina Spalazzese, & Paul Davidsson. (2025). Quality characteristics in IoT systems: learnings from an industry multi case study. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5(1). 1 indexed citations
2.
3.
Alawadi, Sadi, et al.. (2025). A Personalized and Explainable Federated Learning Approach for Recommendation Systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 167–176.
4.
Alawadi, Sadi, et al.. (2024). FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access. 12. 44888–44904. 9 indexed citations
5.
Fakhouri, Hussam N., et al.. (2024). A cognitive deep learning approach for medical image processing. Scientific Reports. 14(1). 4539–4539. 9 indexed citations
6.
Alkhabbas, Fahed, et al.. (2023). ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT. KTH Publication Database DiVA (KTH Royal Institute of Technology). 270–275. 4 indexed citations
7.
Alkhabbas, Fahed, et al.. (2022). ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. Sensors. 22(18). 6842–6842. 13 indexed citations
8.
Alkhabbas, Fahed, Martina De Sanctis, Antonio Bucchiarone, et al.. (2022). ROUTE: A Framework for Customizable Smart Mobility Planners. Institutional Research Information System (Università degli Studi di Trento). 12. 169–179. 1 indexed citations
9.
Alkhabbas, Fahed, Ilir Murturi, Romina Spalazzese, Paul Davidsson, & Schahram Dustdar. (2020). A Goal-Driven Approach for Deploying Self-Adaptive IoT Systems. 146–156. 14 indexed citations
10.
Mera, David, et al.. (2020). A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings. Energy Systems. 13(3). 689–705. 84 indexed citations
11.
Alkhabbas, Fahed, Romina Spalazzese, & Paul Davidsson. (2020). An Agent-Based Approach to Realize Emergent Configurations in the Internet of Things. Electronics. 9(9). 1347–1347. 7 indexed citations
12.
Reggio, Gianna, Maurizio Leotta, Maura Cerioli, Romina Spalazzese, & Fahed Alkhabbas. (2020). What are IoT systems for real? An experts’ survey on software engineering aspects. Internet of Things. 12. 100313–100313. 32 indexed citations
13.
Alkhabbas, Fahed, Sadi Alawadi, Romina Spalazzese, & Paul Davidsson. (2020). Activity recognition and user preference learning for automated configuration of IoT environments. 1–8. 8 indexed citations
14.
Alkhabbas, Fahed, Romina Spalazzese, Maura Cerioli, Maurizio Leotta, & Gianna Reggio. (2020). On the Deployment of IoT Systems: An Industrial Survey. CINECA IRIS Institutial Research Information System (University of Genoa). 17–24. 13 indexed citations
15.
Alkhabbas, Fahed, Romina Spalazzese, & Paul Davidsson. (2019). Characterizing Internet of Things Systems through Taxonomies: A Systematic Mapping Study. Internet of Things. 7. 100084–100084. 20 indexed citations
16.
Alkhabbas, Fahed, Romina Spalazzese, & Paul Davidsson. (2017). Emergent configurations in the internet of things as system of systems. 70–71. 3 indexed citations
17.
Alkhabbas, Fahed, Romina Spalazzese, & Paul Davidsson. (2017). Architecting Emergent Configurations in the Internet of Things. KTH Publication Database DiVA (KTH Royal Institute of Technology). 221–224. 26 indexed citations
18.
Alkhabbas, Fahed, Romina Spalazzese, & Paul Davidsson. (2017). Emergent Configurations in the Internet of Things as System of Systems. 70–71. 5 indexed citations
19.
Alkhabbas, Fahed, et al.. (2017). A Commitment-Based Approach to Realize Emergent Configurations in the Internet of Things. 88–91. 7 indexed citations
20.
Alkhabbas, Fahed, Romina Spalazzese, & Paul Davidsson. (2016). IoT-based Systems of Systems. Malmö University Publications (Malmö University). 34–37. 9 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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