Firas Bayram

510 total citations · 1 hit paper
10 papers, 256 citations indexed

About

Firas Bayram is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Firas Bayram has authored 10 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Management Information Systems. Recurrent topics in Firas Bayram's work include Data Stream Mining Techniques (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Big Data and Business Intelligence (2 papers). Firas Bayram is often cited by papers focused on Data Stream Mining Techniques (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Big Data and Business Intelligence (2 papers). Firas Bayram collaborates with scholars based in Sweden, Czechia and Germany. Firas Bayram's co-authors include Bestoun S. Ahmed, Andreas Kassler, Pasquale Salza, Philipp Leitner, Anna Brunström, Ayan Chatterjee, Javid Taheri, Rajat Chaudhary and Peter Magnusson and has published in prestigious journals such as ACM Computing Surveys, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

Firas Bayram

10 papers receiving 249 citations

Hit Papers

From concept drift to model degradation: An overview on p... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Firas Bayram Sweden 6 153 52 48 43 38 10 256
Jingdong Wang China 5 132 0.9× 30 0.6× 17 0.4× 34 0.8× 71 1.9× 15 247
Tamara Živković Serbia 9 117 0.8× 66 1.3× 24 0.5× 46 1.1× 76 2.0× 24 273
Chonghua Wang China 7 108 0.7× 135 2.6× 45 0.9× 30 0.7× 59 1.6× 35 249
Zengxiang Li China 9 170 1.1× 75 1.4× 13 0.3× 57 1.3× 54 1.4× 27 294
François-Xavier Aubet Germany 5 145 0.9× 147 2.8× 124 2.6× 56 1.3× 35 0.9× 5 309
Hanady M. Abdulsalam Kuwait 10 116 0.8× 186 3.6× 30 0.6× 85 2.0× 58 1.5× 19 323
Amine Baïna Morocco 8 62 0.4× 94 1.8× 12 0.3× 40 0.9× 83 2.2× 45 212
Farrukh Arslan Pakistan 8 73 0.5× 85 1.6× 21 0.4× 32 0.7× 72 1.9× 23 245
M. Durairaj India 8 62 0.4× 65 1.3× 33 0.7× 44 1.0× 55 1.4× 27 230
Mona Gafar Egypt 13 102 0.7× 30 0.6× 14 0.3× 151 3.5× 21 0.6× 40 317

Countries citing papers authored by Firas Bayram

Since Specialization
Citations

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

Fields of papers citing papers by Firas Bayram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Firas Bayram

This figure shows the co-authorship network connecting the top 25 collaborators of Firas Bayram. A scholar is included among the top collaborators of Firas Bayram 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 Firas Bayram. Firas Bayram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ahmed, Bestoun S., et al.. (2025). Quality Assurance for LLM-RAG Systems: Empirical Insights from Tourism Application Testing. 200–207. 2 indexed citations
2.
Bayram, Firas, et al.. (2024). Adaptive data quality scoring operations framework using drift-aware mechanism for industrial applications. Journal of Systems and Software. 217. 112184–112184. 2 indexed citations
3.
Bayram, Firas & Bestoun S. Ahmed. (2024). Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach. ACM Computing Surveys. 57(5). 1–35. 7 indexed citations
4.
Bayram, Firas & Bestoun S. Ahmed. (2023). A domain-region based evaluation of ML performance robustness to covariate shift. Neural Computing and Applications. 35(24). 17555–17577. 1 indexed citations
5.
Bayram, Firas, et al.. (2023). DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications. Digitala vetenskapliga arkivet (Diva) (Karlstad University). 32–41. 6 indexed citations
6.
Bayram, Firas, et al.. (2023). DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks. Engineering Applications of Artificial Intelligence. 123. 106480–106480. 37 indexed citations
7.
Chatterjee, Ayan, Firas Bayram, Rajat Chaudhary, et al.. (2023). AIDA—A holistic AI-driven networking and processing framework for industrial IoT applications. Internet of Things. 22. 100805–100805. 8 indexed citations
8.
Bayram, Firas, et al.. (2022). A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–5. 2 indexed citations
9.
Bayram, Firas, Bestoun S. Ahmed, & Andreas Kassler. (2022). From concept drift to model degradation: An overview on performance-aware drift detectors. Knowledge-Based Systems. 245. 108632–108632. 179 indexed citations breakdown →
10.
Bayram, Firas, et al.. (2022). A systematic mapping study of source code representation for deep learning in software engineering. IET Software. 16(4). 351–385. 12 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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