Imane Guellil

480 total citations
16 papers, 256 citations indexed

About

Imane Guellil is a scholar working on Artificial Intelligence, Molecular Biology and Toxicology. According to data from OpenAlex, Imane Guellil has authored 16 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Toxicology. Recurrent topics in Imane Guellil's work include Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Natural Language Processing Techniques (6 papers). Imane Guellil is often cited by papers focused on Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Natural Language Processing Techniques (6 papers). Imane Guellil collaborates with scholars based in Algeria, United Kingdom and Chile. Imane Guellil's co-authors include Faiçal Azouaou, Marcelo Mendoza, Ahsan Adeel, Amir Hussain, Francisco Chiclana, Mandar Gogate, Kia Dashtipour, Cosimo Ieracitano, Alessandro Valitutti and Mourad Abbas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge and Information Systems and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Imane Guellil

16 papers receiving 242 citations

Peers

Imane Guellil
Comparison fields: 5 of 48
  • Artificial Intelligence 230
  • Information Systems 40
  • Sociology and Political Science 23
  • Signal Processing 13
  • Computer Vision and Pattern Recognition 11
Replace Lena Dankin with:
Lena Dankin Israel
Satish Golla India
Harish Tayyar Madabushi United Kingdom
Ibrahim Abu Farha United Kingdom
Blake Stephen Howald United States
Abed Alhakim Freihat Italy
Divyanshu Kakwani India
Ahmed Mourad Australia
Piyush Arora Ireland
Suguru Matsuyoshi Japan
Lena Dankin Israel View profile →
Citations per field, relative to Imane Guellil
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Citations per year, relative to Imane Guellil
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Countries citing papers authored by Imane Guellil

Since Specialization
Citations

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

Fields of papers citing papers by Imane Guellil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imane Guellil

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 1
5 1
6 28
7
ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects.
2
8 18
9 9
10 13
11 7
12 35
13 111
14 6
15 18
16
Comparison between Neural and Statistical translation after transliteration of Algerian Arabic Dialect
3

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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2026