Mohammed Meknassi

681 citations
21 papers · 467 indexed · h-index 11
Topics
Topic Modeling (11 papers)Natural Language Processing Techniques (9 papers)Advanced Text Analysis Techniques (6 papers)
Partner nations
MoroccoSpainFrance

In The Last Decade

Mohammed Meknassi

17 papers receiving 433 citations

Peers

Mohammed Meknassi
Comparison fields: 5 of 75
  • Artificial Intelligence 301
  • Radiology, Nuclear Medicine and Imaging 158
  • Computer Vision and Pattern Recognition 85
  • Information Systems 41
  • Health Informatics 34
Replace Subhankar Ghosh with:
Subhankar Ghosh India
Yaping Huang China
Basma Abd El-Rahiem Egypt
Muhammad Attique Pakistan
Zhanyu Wang China
V. N. Manjunath Aradhya India
Vasundhara Acharya India
Hritam Basak India
Adnan N. Qureshi Pakistan
Amir Hanif Dar Pakistan
Mohammed Meknassi relative to Subhankar Ghosh India Subhankar Ghosh's profile →
Citations per field
00.5×
Subhankar Ghosh · 1×
Citations per year

Countries citing papers authored by Mohammed Meknassi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Meknassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Meknassi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Meknassi. A scholar is included among the top collaborators of Mohammed Meknassi 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 Mohammed Meknassi. Mohammed Meknassi 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
#WorkIndexed citations
1 10
2 0
3 44
4 162
5 38
6 77
7 4
8 14
9 0
10 25
11 6
12 2
13 11
14 8
15 15
16 25
17 3
18
Application of affine invariant Fourier descriptor to shape- based image retrieval
15
19 0
20
An efficient similarity measure (PMM) for color-based image retrieval
1

About Mohammed Meknassi

Mohammed Meknassi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 21 papers that have together received 467 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Health Informatics (34 citations), Artificial Intelligence (301 citations) and Radiology, Nuclear Medicine and Imaging (158 citations). Mohammed Meknassi has collaborated with scholars based in Morocco, Spain and France. Frequent co-authors include Noureddine En-Nahnahi, Nabil Alami, Saïd Ouatik El Alaoui, Horacio Rodríguez and Mohammed Oumsis. Their work appears in journals such as Expert Systems with Applications, Chaos Solitons & Fractals and Computers & Electrical Engineering.

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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