Rdouan Faizi

1.0k citations
56 papers · 597 indexed · h-index 10

Rdouan Faizi

49 papers receiving 560 citations

Peers

Rdouan Faizi
Comparison fields: 5 of 84
  • Artificial Intelligence 273
  • Computer Science Applications 43
  • Information Systems 167
  • Human-Computer Interaction 32
  • Education 124
Replace Faten Kharbat with:
Faten Kharbat United Arab Emirates
Raddouane Chiheb Morocco
Ray Bareiss United States
Joseph O’Brien United States
Benjamin Hirsch United Arab Emirates
Lyn Pemberton United Kingdom
Răzvan Rughiniş Romania
George R. S. Weir United Kingdom
Frank Kappe Austria
Debora Weber-Wulff Germany
Rdouan Faizi relative to Faten Kharbat United Arab Emirates Faten Kharbat's profile →
Citations per field
00.5×10×13.4×
Faten Kharbat · 1×
Citations per year

Countries citing papers authored by Rdouan Faizi

Since Specialization
Citations

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

Fields of papers citing papers by Rdouan Faizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Rdouan Faizi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rdouan Faizi Line = papers co-authored together Rdouan Faizi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20230
4 20232
5 20233
6 20230
7 20196
8 20188
9
INVESTIGATING THE ROLE OF SOCIAL NETWORKS IN ENHANCING STUDENTSÂ LEARNING EXPERIENCE: FACEBOOK AS A CASE STUDY
20182
10 20184
11 20180
12
Sentiment Classification of Arabic Tweets: A Supervised Approach.
20174
13 201729
14 20171
15 2017168
16 201725
17 20160
18 20165
19 2013100
20 20118

About Rdouan Faizi

Rdouan Faizi is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 56 papers that have together received 597 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (13 papers), Advanced Text Analysis Techniques (8 papers), Spam and Phishing Detection (7 papers), Online Learning and Analytics (6 papers), Handwritten Text Recognition Techniques (6 papers), Topic Modeling (5 papers), Vehicle License Plate Recognition (5 papers) and Misinformation and Its Impacts (5 papers). The work is most often cited by research in Artificial Intelligence (273 citations), Computer Science Applications (43 citations) and Information Systems (167 citations). Rdouan Faizi has collaborated with scholars based in Morocco and Russia. Frequent co-authors include Raddouane Chiheb, Abdellatif El Afia, Rachid Oulad Haj Thami, Sanaa El Fkihi, Malek Sarhani and Amal El Fallah Seghrouchni. Their work appears in journals such as SHILAP Revista de lepidopterología, Education and Information Technologies and Ain Shams Engineering Journal.

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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