Ghaith Manita

48 total papers · 443 total citations
31 papers, 273 citations indexed

About

Ghaith Manita is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ghaith Manita has authored 31 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ghaith Manita's work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (12 papers) and Data Mining Algorithms and Applications (4 papers). Ghaith Manita is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (12 papers) and Data Mining Algorithms and Applications (4 papers). Ghaith Manita collaborates with scholars based in Tunisia, India and South Korea. Ghaith Manita's co-authors include Ouajdi Korbaa, Amit Chhabra, Seyedali Mirjalili, Ikbal Chaieb, Abdelkader Mami, Mohamed Ali Hajjaji, Fatma A. Hashim, Yaning Xiao, Reham R. Mostafa and Mohamed Limam and has published in prestigious journals such as International Journal of Production Research, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Ghaith Manita

27 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Ghaith Manita	151	46	42	30	27	31	273
Iztok Fister	146 1.0×	39 0.8×	57 1.4×	20 0.7×	22 0.8×	32	321
Ko-Wei Huang	122 0.8×	41 0.9×	31 0.7×	24 0.8×	22 0.8×	29	265
Mehmet R. Tolun	145 1.0×	42 0.9×	38 0.9×	62 2.1×	18 0.7×	26	288
Adnan Acan	127 0.8×	64 1.4×	61 1.5×	14 0.5×	24 0.9×	36	328
Ting Zhang	192 1.3×	31 0.7×	33 0.8×	49 1.6×	21 0.8×	38	256
Siddhartha Bhattacharyya	92 0.6×	41 0.9×	36 0.9×	28 0.9×	40 1.5×	48	263
Hong Choon Ong	169 1.1×	26 0.6×	66 1.6×	21 0.7×	30 1.1×	20	309
Izaskun Oregi	148 1.0×	25 0.5×	62 1.5×	26 0.9×	65 2.4×	21	329
Mariusz Flasiński	147 1.0×	72 1.6×	38 0.9×	25 0.8×	13 0.5×	24	280
Ajalmar R. Rocha Neto	175 1.2×	82 1.8×	21 0.5×	35 1.2×	58 2.1×	37	331

Countries citing papers authored by Ghaith Manita

Since Specialization

Citations

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

Fields of papers citing papers by Ghaith Manita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghaith Manita

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