Chafiq Titouna

51 total papers · 768 total citations
35 papers, 488 citations indexed

About

Chafiq Titouna is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chafiq Titouna has authored 35 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Chafiq Titouna's work include Anomaly Detection Techniques and Applications (13 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Network Security and Intrusion Detection (6 papers). Chafiq Titouna is often cited by papers focused on Anomaly Detection Techniques and Applications (13 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Network Security and Intrusion Detection (6 papers). Chafiq Titouna collaborates with scholars based in France, United States and Algeria. Chafiq Titouna's co-authors include Ado Adamou Abba Ari, Abdelhak Mourad Gueroui, Farid Naït‐Abdesselam, Ousmane Thiaré, Makhlouf Aliouat, Mourad Gueroui, Ashfaq Khokhar, Zibouda Aliouat, Hassine Moungla and Alidou Mohamadou and has published in prestigious journals such as Future Generation Computer Systems, Computer Networks and Natural Hazards.

In The Last Decade

Chafiq Titouna

31 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chafiq Titouna	279	140	138	67	55	35	488
Tao Ren	204 0.7×	98 0.7×	59 0.4×	46 0.7×	61 1.1×	37	477
Qingjian Ni	159 0.6×	147 1.1×	159 1.2×	45 0.7×	25 0.5×	33	527
Raúl Aquino-Santos	179 0.6×	143 1.0×	27 0.2×	53 0.8×	28 0.5×	37	460
Tran Anh Khoa	138 0.5×	118 0.8×	108 0.8×	49 0.7×	47 0.9×	33	462
Rafael Marín-Pérez	291 1.0×	166 1.2×	45 0.3×	29 0.4×	49 0.9×	28	411
Nayef Abdulwahab Mohammed Alduais	258 0.9×	255 1.8×	56 0.4×	57 0.9×	36 0.7×	57	543
Yan Dong	155 0.6×	78 0.6×	72 0.5×	32 0.5×	23 0.4×	27	473
Kamal Kumar Ghanshala	99 0.4×	120 0.9×	121 0.9×	33 0.5×	74 1.3×	26	527
Chris Roadknight	169 0.6×	40 0.3×	111 0.8×	27 0.4×	55 1.0×	38	526
Alfred Daniel	144 0.5×	168 1.2×	120 0.9×	22 0.3×	87 1.6×	46	549

Countries citing papers authored by Chafiq Titouna

Since Specialization

Citations

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

Fields of papers citing papers by Chafiq Titouna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chafiq Titouna

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

All Works

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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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