Hatem Haddad

797 total citations
33 papers, 398 citations indexed

About

Hatem Haddad is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Hatem Haddad has authored 33 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Hatem Haddad's work include Sentiment Analysis and Opinion Mining (12 papers), Natural Language Processing Techniques (11 papers) and Topic Modeling (10 papers). Hatem Haddad is often cited by papers focused on Sentiment Analysis and Opinion Mining (12 papers), Natural Language Processing Techniques (11 papers) and Topic Modeling (10 papers). Hatem Haddad collaborates with scholars based in Tunisia, Türkiye and Belgium. Hatem Haddad's co-authors include Hala Mulki, Mathias Géry, İsmail Babaoğlu, Mourad Gridach, Tarek Hamrouni, Mustafa Kaiiali, Halis Altun, Marc Alier, Yahya Slimani and Mohamed Graïet and has published in prestigious journals such as Journal of the Association for Information Systems, Computer Speech & Language and Natural Language Engineering.

In The Last Decade

Hatem Haddad

32 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hatem Haddad Tunisia 9 286 146 50 37 31 33 398
Luís Sarmento Portugal 9 215 0.8× 85 0.6× 24 0.5× 19 0.5× 27 0.9× 36 320
Georgios Pitsilis United Kingdom 7 227 0.8× 152 1.0× 60 1.2× 115 3.1× 21 0.7× 11 329
Junyi Jessy Li United States 15 421 1.5× 135 0.9× 20 0.4× 29 0.8× 31 1.0× 49 550
Yashvardhan Sharma India 11 340 1.2× 125 0.9× 28 0.6× 25 0.7× 19 0.6× 60 433
Takashi Tomokiyo United States 5 312 1.1× 164 1.1× 16 0.3× 20 0.5× 23 0.7× 6 390
Louise Guthrie United States 14 670 2.3× 136 0.9× 38 0.8× 29 0.8× 14 0.5× 40 761
Tom Kenter Netherlands 9 391 1.4× 130 0.9× 42 0.8× 18 0.5× 17 0.5× 19 490
Vítor Mangaravite Brazil 5 382 1.3× 130 0.9× 26 0.5× 14 0.4× 13 0.4× 10 458
Nattiya Kanhabua Germany 15 301 1.1× 201 1.4× 55 1.1× 32 0.9× 43 1.4× 44 493
Qingyuan Gong China 9 128 0.4× 142 1.0× 48 1.0× 110 3.0× 10 0.3× 33 304

Countries citing papers authored by Hatem Haddad

Since Specialization
Citations

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

Fields of papers citing papers by Hatem Haddad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hatem Haddad

This figure shows the co-authorship network connecting the top 25 collaborators of Hatem Haddad. A scholar is included among the top collaborators of Hatem Haddad 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 Hatem Haddad. Hatem Haddad 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
1.
2.
Haddad, Hatem, et al.. (2024). Comparative Analysis of Off-the-Shelf Methods for Energy Consumption Anomaly Detection. 392–396. 1 indexed citations
3.
Haddad, Hatem, et al.. (2022). iCompass Working Notes for the Nuanced Arabic Dialect Identification Shared task. 415–419. 4 indexed citations
4.
5.
Haddad, Hatem, et al.. (2022). Multi-word terms selection for information retrieval. Information Discovery and Delivery. 51(1). 74–87. 2 indexed citations
6.
Haddad, Hatem, et al.. (2021). iCompass at Shared Task on Sarcasm and Sentiment Detection in Arabic. 381–385. 5 indexed citations
7.
Haddad, Hatem, et al.. (2021). Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis. 226–230. 5 indexed citations
8.
Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2020). Syntax-ignorant N-gram embeddings for dialectal Arabic sentiment analysis. Natural Language Engineering. 27(3). 315–338. 2 indexed citations
9.
Mulki, Hala, et al.. (2019). L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language. 111–118. 123 indexed citations
10.
Haddad, Hatem, et al.. (2019). Empirical evaluation of compounds indexing for Turkish texts. Computer Speech & Language. 56. 95–106. 4 indexed citations
11.
Mulki, Hala, et al.. (2018). Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification. 167–171. 24 indexed citations
12.
Mulki, Hala, et al.. (2018). Tunisian Dialect Sentiment Analysis: A Natural Language Processing-based Approach. Computación y Sistemas. 22(4). 12 indexed citations
13.
Mulki, Hala, et al.. (2018). Preprocessing impact on Turkish sentiment analysis. 1–4. 2 indexed citations
14.
Haddad, Hatem, et al.. (2017). Billingual Formal Concept Analysis for Cross-Language Information Retrieval. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 33. 922–928. 1 indexed citations
15.
Haddad, Hatem, et al.. (2016). Getting a clean shot on a blurred target: Improving targeting for Strategic Scanning through action research in 10 French organizations. Journal of the Association for Information Systems. 39. 615–638. 1 indexed citations
16.
Kaiiali, Mustafa, et al.. (2016). Designing a Secure Exam Management System (SEMS) for M-Learning Environments. IEEE Transactions on Learning Technologies. 9(3). 258–271. 29 indexed citations
17.
18.
Haddad, Hatem, et al.. (2011). Towards an effective automatic query expansion process using an association rule mining approach. Journal of Intelligent Information Systems. 39(1). 209–247. 23 indexed citations
19.
Haddad, Hatem. (2003). Utilisation des Syntagmes Nominaux dans un Système de Recherche d'Information..
20.
Géry, Mathias & Hatem Haddad. (2003). Evaluation of web usage mining approaches for user's next request prediction. 2 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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