Bilal Ghanem

786 total citations
19 papers, 303 citations indexed

About

Bilal Ghanem is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Bilal Ghanem has authored 19 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 9 papers in Information Systems. Recurrent topics in Bilal Ghanem's work include Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (8 papers) and Spam and Phishing Detection (6 papers). Bilal Ghanem is often cited by papers focused on Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (8 papers) and Spam and Phishing Detection (6 papers). Bilal Ghanem collaborates with scholars based in Spain, Canada and Netherlands. Bilal Ghanem's co-authors include Paolo Rosso, Anastasia Giachanou, Manuel Montes-y-Gómez, Simona Frenda, Francisco Rangel, Francisco M. Rangel Pardo, Hala Mulki, Esteban A. Ríssola, Fábio Crestani and Daniel L. Oberski and has published in prestigious journals such as Data & Knowledge Engineering, Journal of Information Science and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Bilal Ghanem

17 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bilal Ghanem Spain	9	223	156	130	34	30	19	303
Sara Owsley Sood United States	7	312 1.4×	95 0.6×	129 1.0×	51 1.5×	14 0.5×	14	408
Kostantinos Papadamou Cyprus	8	78 0.3×	122 0.8×	61 0.5×	10 0.3×	30 1.0×	11	216
Mai ElSherief United States	10	429 1.9×	128 0.8×	82 0.6×	67 2.0×	29 1.0×	20	546
Guido Zarrella United States	7	345 1.5×	91 0.6×	137 1.1×	21 0.6×	8 0.3×	11	439
T. Meder Netherlands	9	151 0.7×	46 0.3×	46 0.4×	22 0.6×	9 0.3×	46	258
Jeremiah Onaolapo United Kingdom	7	98 0.4×	93 0.6×	109 0.8×	8 0.2×	10 0.3×	15	209
Francisco Rangel Spain	9	323 1.4×	99 0.6×	155 1.2×	20 0.6×	4 0.1×	20	376
Prakhar Biyani United States	11	248 1.1×	160 1.0×	118 0.9×	67 2.0×	3 0.1×	14	396
M. Dolores Molina-González Spain	11	425 1.9×	47 0.3×	85 0.7×	82 2.4×	13 0.4×	26	470
Flor Miriam Plaza-del-Arco Spain	10	361 1.6×	28 0.2×	70 0.5×	82 2.4×	12 0.4×	34	397

Countries citing papers authored by Bilal Ghanem

Since Specialization

Citations

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

Fields of papers citing papers by Bilal Ghanem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bilal Ghanem

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

All Works

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19 of 19 papers shown

Ghanem, Bilal, et al.. (2023). Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models. 39–47. 1 indexed citations

Ghanem, Bilal, et al.. (2022). Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. Findings of the Association for Computational Linguistics: ACL 2022. 2131–2146. 11 indexed citations

Cohrdes, Caroline, et al.. (2021). Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data. JMIR Mental Health. 8(6). e27140–e27140. 11 indexed citations

Giachanou, Anastasia, Bilal Ghanem, Esteban A. Ríssola, et al.. (2021). The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers. Data & Knowledge Engineering. 138. 101960–101960. 31 indexed citations

Giachanou, Anastasia, Bilal Ghanem, & Paolo Rosso. (2021). Detection of conspiracy propagators using psycho-linguistic characteristics. Journal of Information Science. 49(1). 3–17. 25 indexed citations

Mulki, Hala & Bilal Ghanem. (2021). Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language. 154–163. 3 indexed citations

Štajner, Sanja, et al.. (2021). What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts. 803–810. 1 indexed citations

Mulki, Hala & Bilal Ghanem. (2021). Working Notes of the Workshop Arabic Misogyny Identification (ArMI-2021). 7–8. 8 indexed citations

Rangel, Francisco, Anastasia Giachanou, Bilal Ghanem, & Paolo Rosso. (2020). Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter. RiuNet (Politechnical University of Valencia). 2696. 1–18. 22 indexed citations

10.

Pardo, Francisco M. Rangel, Anastasia Giachanou, Bilal Ghanem, & Paolo Rosso. (2020). Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter.. CLEF (Working Notes). 25 indexed citations

11.

Giachanou, Anastasia & Bilal Ghanem. (2019). Bot and Gender Detection using Textual and Stylistic Information.. CLEF (Working Notes). 2 indexed citations

12.

Ghanem, Bilal, Goran Glavaš, Anastasia Giachanou, et al.. (2019). UPV-UMA at CheckThat! Lab: verifying Arabic claims using a cross lingual approach. MADOC (University of Mannheim). 4 indexed citations

13.

Pardo, Francisco M. Rangel, et al.. (2019). Overview of the Track on Author Profiling and Deception Detection in Arabic.. 70–83. 8 indexed citations

14.

Ghanem, Bilal, Alessandra Teresa Cignarella, Cristina Bosco, Paolo Rosso, & Francisco M. Rangel Pardo. (2019). UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post’s Nesting and Syntax Information for Rumor Stance Classification. Institutional Research Information System University of Turin (University of Turin). 1125–1131. 10 indexed citations

15.

Rangel, Francisco, et al.. (2019). On the Author Profiling and Deception Detection in Arabic shared task at FIRE. 7–9. 5 indexed citations

16.

Frenda, Simona, Bilal Ghanem, Manuel Montes-y-Gómez, & Paolo Rosso. (2019). Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter. Journal of Intelligent & Fuzzy Systems. 36(5). 4743–4752. 93 indexed citations

17.

Ghanem, Bilal, Manuel Montes-y-Gómez, Francisco M. Rangel Pardo, & Paolo Rosso. (2018). UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims.. CLEF (Working Notes). 1 indexed citations

18.

Rosso, Paolo, Francisco M. Rangel Pardo, Bilal Ghanem, & Anis Charfi. (2018). ARAP: Arabic Author Profiling Project for Cyber-Security. Procesamiento del lenguaje natural. 61(61). 135–138. 4 indexed citations

19.

Ghanem, Bilal, Paolo Rosso, & Francisco Rangel. (2018). Stance Detection in Fake News A Combined Feature Representation. 66–71. 38 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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