Marouane Birjali

1.3k total citations · 1 hit paper
16 papers, 808 citations indexed

About

Marouane Birjali is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Marouane Birjali has authored 16 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Marouane Birjali's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (5 papers) and Advanced Text Analysis Techniques (4 papers). Marouane Birjali is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (5 papers) and Advanced Text Analysis Techniques (4 papers). Marouane Birjali collaborates with scholars based in Morocco. Marouane Birjali's co-authors include Abderrahim Beni‐Hssane, Mohammed Kasri, Mohammed Erritali, Youness Madani and Badr Hssina and has published in prestigious journals such as Applied Soft Computing, Knowledge-Based Systems and Journal Of Big Data.

In The Last Decade

Marouane Birjali

16 papers receiving 767 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.

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

2021 535 citations Marouane Birjali, Mohammed Kasri et al. Knowledge-Based Systems profile →

Peers

Marouane Birjali

AI

IS

SPS

SP

MSOR

Danding Wang China

Karin Becker Brazil

Óscar Araque Spain

Daniel Graziotin Germany

Huahai Yang United States

Dominic DiFranzo United States

Maciej Piasecki Poland

Georg Groh Germany

Jan Kocoń Poland

Danding Wang China

Marouane Birjali

698 ×1.2

AI

151 ×0.8

IS

146 ×1.3

SPS

91 ×1.0

SP

38 ×0.7

MSOR

Citations per year, relative to Marouane Birjali Marouane Birjali (= 1×) peers Danding Wang

Countries citing papers authored by Marouane Birjali

Since Specialization

Citations

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

Fields of papers citing papers by Marouane Birjali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marouane Birjali

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

All Works

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16 of 16 papers shown

1.

Kasri, Mohammed, et al.. (2023). Public sentiment toward renewable energy in Morocco: opinion mining using a rule-based approach. Social Network Analysis and Mining. 13(1). 2 indexed citations

2.

Kasri, Mohammed, et al.. (2022). Refining Word Embeddings with Sentiment Information for Sentiment Analysis. 9 indexed citations

3.

Birjali, Marouane, et al.. (2022). COVID-19 Impact Sentiment Analysis on a Topic-based Level. 2 indexed citations

4.

Birjali, Marouane, et al.. (2022). Used Car Price Prediction using Machine Learning: A Case Study. 1–4. 11 indexed citations

5.

Birjali, Marouane, Mohammed Kasri, & Abderrahim Beni‐Hssane. (2021). A comprehensive survey on sentiment analysis: Approaches, challenges and trends. Knowledge-Based Systems. 226. 107134–107134. 535 indexed citations breakdown →

6.

Kasri, Mohammed, Marouane Birjali, & Abderrahim Beni‐Hssane. (2020). Word2Sent: A new learning sentiment‐embedding model with low dimension for sentence level sentiment classification. Concurrency and Computation Practice and Experience. 33(9). 12 indexed citations

7.

Kasri, Mohammed, Marouane Birjali, & Abderrahim Beni‐Hssane. (2019). A comparison of features extraction methods for Arabic sentiment analysis. 1–6. 16 indexed citations

8.

Birjali, Marouane, Abderrahim Beni‐Hssane, & Mohammed Erritali. (2018). Evaluation of high-level query languages based on MapReduce in Big Data. Journal Of Big Data. 5(1). 10 indexed citations

9.

Birjali, Marouane, Abderrahim Beni‐Hssane, & Mohammed Erritali. (2018). A novel adaptive e-learning model based on Big Data by using competence-based knowledge and social learner activities. Applied Soft Computing. 69. 14–32. 51 indexed citations

10.

Madani, Youness, et al.. (2017). Adaptive e-learning using Genetic Algorithm and Sentiments Analysis in a Big Data System. International Journal of Advanced Computer Science and Applications. 8(8). 16 indexed citations

11.

Birjali, Marouane, Abderrahim Beni‐Hssane, & Mohammed Erritali. (2017). Machine Learning and Semantic Sentiment Analysis based Algorithms for Suicide Sentiment Prediction in Social Networks. Procedia Computer Science. 113. 65–72. 86 indexed citations

12.

Birjali, Marouane, Abderrahim Beni‐Hssane, & Mohammed Erritali. (2017). Analyzing Social Media through Big Data using InfoSphere BigInsights and Apache Flume. Procedia Computer Science. 113. 280–285. 26 indexed citations

13.

Birjali, Marouane, Abderrahim Beni‐Hssane, & Mohammed Erritali. (2016). Measuring documents similarity in large corpus using MapReduce algorithm. 32. 24–28. 5 indexed citations

14.

Erritali, Mohammed, Abderrahim Beni‐Hssane, Marouane Birjali, & Youness Madani. (2016). An Approach of Semantic Similarity Measure between Documents Based on Big Data. International Journal of Electrical and Computer Engineering (IJECE). 6(5). 2454–2454. 15 indexed citations

15.

Erritali, Mohammed, et al.. (2016). An Approach of Semantic Similarity Measure between Documents Based on Big Data. International Journal of Electrical and Computer Engineering (IJECE). 6(5). 2454–2454. 11 indexed citations

16.

Birjali, Marouane, Abderrahim Beni‐Hssane, Mohammed Erritali, & Youness Madani. (2016). Information content measures of semantic similarity between documents based on Hadoop system. 187–192. 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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