Aimad Karkouch

622 total citations · 1 hit paper
6 papers, 423 citations indexed

About

Aimad Karkouch is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Automotive Engineering. According to data from OpenAlex, Aimad Karkouch has authored 6 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Management Science and Operations Research and 2 papers in Automotive Engineering. Recurrent topics in Aimad Karkouch's work include Data Quality and Management (4 papers), IoT and Edge/Fog Computing (2 papers) and Human-Automation Interaction and Safety (2 papers). Aimad Karkouch is often cited by papers focused on Data Quality and Management (4 papers), IoT and Edge/Fog Computing (2 papers) and Human-Automation Interaction and Safety (2 papers). Aimad Karkouch collaborates with scholars based in Morocco and France. Aimad Karkouch's co-authors include Hassan Al Moatassime, Hajar Mousannif, Thomas Noël and Zouhair Elamrani Abou Elassad and has published in prestigious journals such as Journal of Network and Computer Applications, Engineering Applications of Artificial Intelligence and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Aimad Karkouch

6 papers receiving 405 citations

Hit Papers

align trajectories

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.

Data quality in internet of things: A state-of-the-art survey

2016 240 citations Aimad Karkouch, Hajar Mousannif et al. Journal of Network and Computer Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aimad Karkouch Morocco	5	120	116	79	71	67	6	423
Haihua Zhu China	17	84 0.7×	79 0.7×	34 0.4×	56 0.8×	55 0.8×	56	994
M’hammed Sahnoun France	16	117 1.0×	48 0.4×	36 0.5×	37 0.5×	50 0.7×	69	667
René Mandiau France	11	93 0.8×	169 1.5×	46 0.6×	31 0.4×	35 0.5×	49	521
Yijun Cheng China	13	146 1.2×	173 1.5×	41 0.5×	49 0.7×	22 0.3×	43	639
Patrick Mannion Ireland	11	63 0.5×	194 1.7×	70 0.9×	31 0.4×	21 0.3×	34	507
Qingsong Hua China	11	161 1.3×	76 0.7×	22 0.3×	70 1.0×	54 0.8×	12	566
Vijender Kumar Solanki India	15	144 1.2×	127 1.1×	27 0.3×	85 1.2×	16 0.2×	69	536
Ekaterina Gilman Finland	13	158 1.3×	96 0.8×	27 0.3×	101 1.4×	30 0.4×	37	444
H. M. N. Dilum Bandara Sri Lanka	12	279 2.3×	115 1.0×	27 0.3×	306 4.3×	56 0.8×	58	650

Countries citing papers authored by Aimad Karkouch

Since Specialization

Citations

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

Fields of papers citing papers by Aimad Karkouch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aimad Karkouch

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

All Works

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6 of 6 papers shown

1.

Elassad, Zouhair Elamrani Abou, Hajar Mousannif, Hassan Al Moatassime, & Aimad Karkouch. (2019). The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review. Engineering Applications of Artificial Intelligence. 87. 103312–103312. 138 indexed citations

2.

Karkouch, Aimad, Hajar Mousannif, & Hassan Al Moatassime. (2018). CADS: A Connected Assistant for Driving Safe. Procedia Computer Science. 127. 353–359. 3 indexed citations

3.

Karkouch, Aimad, Hajar Mousannif, Hassan Al Moatassime, & Thomas Noël. (2017). A model-driven framework for data quality management in the Internet of Things. Journal of Ambient Intelligence and Humanized Computing. 9(4). 977–998. 13 indexed citations

4.

Karkouch, Aimad, Hajar Mousannif, Hassan Al Moatassime, & Thomas Noël. (2016). A model-driven architecture-based data quality management framework for the internet of Things. 3. 252–259. 20 indexed citations

5.

Karkouch, Aimad, Hajar Mousannif, Hassan Al Moatassime, & Thomas Noël. (2016). Data quality in internet of things: A state-of-the-art survey. Journal of Network and Computer Applications. 73. 57–81. 240 indexed citations breakdown →

6.

Karkouch, Aimad, Hassan Al Moatassime, Hajar Mousannif, & Thomas Noël. (2015). Data quality enhancement in Internet of Things environment. SPIRE - Sciences Po Institutional REpository. 1–8. 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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