Hakim Hacid

2.0k total citations · 1 hit paper
47 papers, 964 citations indexed

About

Hakim Hacid is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Hakim Hacid has authored 47 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Hakim Hacid's work include Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (6 papers). Hakim Hacid is often cited by papers focused on Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (6 papers). Hakim Hacid collaborates with scholars based in United Arab Emirates, France and Australia. Hakim Hacid's co-authors include Djamel A. Zighed, Adrien Guille, Cécile Favre, Mohamed Reda Bouadjenek, Mokrane Bouzeghoub, Hye-Young Paik, Boualem Benatallah, Giusy Di Lorenzo, Zakaria Maamar and Michael N. Huhns and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neurocomputing.

In The Last Decade

Hakim Hacid

42 papers receiving 929 citations

Hit Papers

Information diffusion in online social networks 2013 2026 2017 2021 2013 100 200 300 400 500
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. Information diffusion in online social networks
    2013 546 citations Hakim Hacid, Djamel A. Zighed 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
Hakim Hacid United Arab Emirates 12 473 375 279 246 160 47 964
Nicola Barbieri Spain 12 576 1.2× 273 0.7× 293 1.1× 154 0.6× 92 0.6× 29 823
Karthik Subbian United States 16 439 0.9× 248 0.7× 434 1.6× 153 0.6× 93 0.6× 43 870
Qiang Guo China 17 654 1.4× 357 1.0× 254 0.9× 180 0.7× 117 0.7× 67 986
Mary McGlohon United States 8 574 1.2× 178 0.5× 220 0.8× 150 0.6× 175 1.1× 14 834
Djamel A. Zighed France 10 461 1.0× 179 0.5× 351 1.3× 120 0.5× 145 0.9× 39 904
Krishna P. N. Puttaswamy United States 14 369 0.8× 399 1.1× 415 1.5× 598 2.4× 254 1.6× 25 1.2k
Linhong Zhu United States 14 403 0.9× 255 0.7× 500 1.8× 226 0.9× 201 1.3× 18 1.0k
Yifei Yuan United States 10 758 1.6× 214 0.6× 190 0.7× 319 1.3× 103 0.6× 19 1.0k
Youze Tang Singapore 5 898 1.9× 243 0.6× 282 1.0× 282 1.1× 92 0.6× 5 1.1k
Aneesh Sharma United States 12 401 0.8× 429 1.1× 408 1.5× 299 1.2× 138 0.9× 27 1.1k

Countries citing papers authored by Hakim Hacid

Since Specialization
Citations

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

Fields of papers citing papers by Hakim Hacid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakim Hacid

This figure shows the co-authorship network connecting the top 25 collaborators of Hakim Hacid. A scholar is included among the top collaborators of Hakim Hacid 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 Hakim Hacid. Hakim Hacid 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.
Hacid, Hakim, et al.. (2025). On adversarial attack detection in the artificial intelligence era: Fundamentals, a taxonomy, and a review. Intelligent Systems with Applications. 27. 200554–200554.
2.
Hayawi, Kadhim, Sakib Shahriar, & Hakim Hacid. (2024). Climate Data Imputation and Quality Improvement Using Satellite Data. 3(2). 87–97. 4 indexed citations
3.
Hayawi, Kadhim, Sakib Shahriar, & Hakim Hacid. (2024). On Digital Art Generation Using Generative Adversarial Networks. 1–6.
4.
Hacid, Hakim, et al.. (2023). SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16398–16400. 1 indexed citations
5.
Hacid, Hakim, et al.. (2023). A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques. SHILAP Revista de lepidopterología. 4(3). 729–786. 12 indexed citations
6.
Hacid, Hakim, et al.. (2023). From Service Composition to Mashup Editor: A Multiperspective Taxonomy. Future Internet. 15(2). 59–59.
7.
Hacid, Hakim, Monther Aldwairi, Mohamed Reda Bouadjenek, et al.. (2022). Service-Oriented Computing – ICSOC 2021 Workshops. Lecture notes in computer science. 7 indexed citations
8.
Bouadjenek, Mohamed Reda, et al.. (2022). A Mask-based Output Layer for Multi-level Hierarchical Classification. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3833–3837. 2 indexed citations
9.
10.
Hacid, Hakim, et al.. (2019). Data Quality and Trust in Big Data. Lecture notes in computer science. 3 indexed citations
11.
Hacid, Hakim, Wojciech Cellary, Hua Wang, Hye-Young Paik, & Rui Zhou. (2018). Web Information Systems Engineering – WISE 2018. Lecture notes in computer science. 3 indexed citations
12.
Hacid, Hakim, et al.. (2017). Adapting selection strategies of executors of business processes based on profit and social qualities. Computers & Electrical Engineering. 63. 320–331. 3 indexed citations
13.
Bouadjenek, Mohamed Reda, Hakim Hacid, Mokrane Bouzeghoub, & Athena Vakali. (2016). PerSaDoR: Personalized social document representation for improving web search. Information Sciences. 369. 614–633. 18 indexed citations
14.
Maamar, Zakaria, et al.. (2016). On Capturing and Quantifying Social Qualities in Business Processes. 32–37. 1 indexed citations
15.
Bouadjenek, Mohamed Reda, Hakim Hacid, & Mokrane Bouzeghoub. (2015). Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms. Information Systems. 56. 1–18. 63 indexed citations
16.
Yoshida, T., Gang Kou, Andrzej Skowron, et al.. (2013). Active Media Technology. Lecture notes in computer science. 2 indexed citations
17.
Hacid, Hakim, et al.. (2012). Vizpicious: A Visual User-Adaptive Tool for Communication Logs Analysis and Suspicious Behavior Detection. 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. 641–642. 1 indexed citations
18.
Zighed, Djamel A., Hakim Hacid, Zbigniew W. Raś, & Shusaku Tsumoto. (2008). Mining Complex Data. Studies in computational intelligence. 2 indexed citations
19.
Hacid, Hakim, et al.. (2006). A New Cost Sensitive Decision Tree Method : Application for Mammograms Classification. 6 indexed citations
20.
Hacid, Hakim, et al.. (2006). Content-Based Image Retrieval Using Topological Models. 308–311. 1 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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