Mohammed Erritali

119 total papers · 1.2k total citations
65 papers, 716 citations indexed

About

Mohammed Erritali is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mohammed Erritali has authored 65 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 21 papers in Information Systems and 19 papers in Computer Networks and Communications. Recurrent topics in Mohammed Erritali's work include Topic Modeling (12 papers), Vehicular Ad Hoc Networks (VANETs) (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). Mohammed Erritali is often cited by papers focused on Topic Modeling (12 papers), Vehicular Ad Hoc Networks (VANETs) (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). Mohammed Erritali collaborates with scholars based in Morocco, France and Canada. Mohammed Erritali's co-authors include Abderrahim Beni‐Hssane, Youness Madani, Marouane Birjali, Badr Hssina, Hanane Ezzikouri, Belaid Bouikhalene, Françoise Sailhan, Bouabid El Ouahidi, Mostafa Jourhmane and Mustapha Mabrouki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Mohammed Erritali

60 papers receiving 670 citations

Author Peers

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

Author						Papers	Cites
Mohammed Erritali	367	219	130	127	120	65	716
Sanjay Singh	401 1.1×	197 0.9×	67 0.5×	53 0.4×	101 0.8×	85	848
Shihong Huang	248 0.7×	477 2.2×	97 0.7×	83 0.7×	189 1.6×	93	819
Si Chen	252 0.7×	241 1.1×	60 0.5×	142 1.1×	100 0.8×	31	730
Kathryn Merrick	408 1.1×	68 0.3×	54 0.4×	45 0.4×	95 0.8×	60	806
John Garofalakis	169 0.5×	283 1.3×	48 0.4×	150 1.2×	285 2.4×	122	822
Mohamed Khalifa	257 0.7×	128 0.6×	61 0.5×	45 0.4×	46 0.4×	70	874
Ali Alkhalifah	170 0.5×	226 1.0×	41 0.3×	103 0.8×	115 1.0×	39	711
Yacine Atif	159 0.4×	348 1.6×	116 0.9×	55 0.4×	282 2.4×	70	799
Hwa‐Young Jeong	163 0.4×	236 1.1×	65 0.5×	84 0.7×	221 1.8×	87	731
Antonio Piccinno	129 0.4×	179 0.8×	156 1.2×	88 0.7×	93 0.8×	79	904

Countries citing papers authored by Mohammed Erritali

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Erritali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Erritali

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Erritali. A scholar is included among the top collaborators of Mohammed Erritali 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 Mohammed Erritali. Mohammed Erritali 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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