Hanen Karamti

114 total papers · 1.4k total citations
90 papers, 888 citations indexed

About

Hanen Karamti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hanen Karamti has authored 90 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Hanen Karamti's work include Image Retrieval and Classification Techniques (11 papers), Nanofluid Flow and Heat Transfer (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Hanen Karamti is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Nanofluid Flow and Heat Transfer (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Hanen Karamti collaborates with scholars based in Saudi Arabia, Pakistan and Egypt. Hanen Karamti's co-authors include Muhammad Umer, Saima Sadiq, Imran Ashraf, Ala’ Abdulmajid Eshmawi, Ali Hassan, Kifayat Ullah, Jan Awrejcewicz, Abdullah Mohamed, Abeer M. Mahmoud and Ahmed M. Galal and has published in prestigious journals such as Scientific Reports, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Hanen Karamti

77 papers receiving 834 citations

Author Peers

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

Author						Papers	Cites
Hanen Karamti	180	154	131	119	90	90	888
Hussain AlSalman	326 1.8×	132 0.9×	122 0.9×	71 0.6×	164 1.8×	61	1.1k
Ivan Jordanov	307 1.7×	94 0.6×	49 0.4×	109 0.9×	168 1.9×	56	967
Krishna Pratap Singh	181 1.0×	54 0.4×	52 0.4×	79 0.7×	126 1.4×	78	1.0k
M. J. Ebadi	181 1.0×	43 0.3×	52 0.4×	75 0.6×	69 0.8×	45	851
Hao Jiang	114 0.6×	112 0.7×	50 0.4×	78 0.7×	70 0.8×	86	758
Jinsha Yuan	301 1.7×	73 0.5×	46 0.4×	55 0.5×	203 2.3×	79	975
Roselina Sallehuddin	265 1.5×	74 0.5×	98 0.7×	131 1.1×	68 0.8×	69	806
Sio-Iong Ao	110 0.6×	128 0.8×	53 0.4×	84 0.7×	50 0.6×	148	824
Qihang Lin	371 2.1×	189 1.2×	89 0.7×	62 0.5×	108 1.2×	65	974
Adrião Duarte Dória Neto	278 1.5×	29 0.2×	66 0.5×	64 0.5×	90 1.0×	104	701

Countries citing papers authored by Hanen Karamti

Since Specialization

Citations

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

Fields of papers citing papers by Hanen Karamti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanen Karamti

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