Hadil Shaiba

51 total papers · 746 total citations
38 papers, 426 citations indexed

About

Hadil Shaiba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hadil Shaiba has authored 38 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Hadil Shaiba's work include COVID-19 diagnosis using AI (4 papers), IoT and Edge/Fog Computing (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Hadil Shaiba is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), IoT and Edge/Fog Computing (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Hadil Shaiba collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Hadil Shaiba's co-authors include Maya John, Hamid A. Jalab, Rabha W. Ibrahim, Ala’a R. Al-Shamasneh, Souham Meshoul, Ali M. Hasan, Marija Bezbradica, Ammar Muthanna, Mashael Khayyat and Prince Waqas Khan and has published in prestigious journals such as IEEE Access, Sensors and Heliyon.

In The Last Decade

Hadil Shaiba

31 papers receiving 394 citations

Author Peers

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

Author						Papers	Cites
Hadil Shaiba	164	120	63	59	48	38	426
Vaibhav Bhatnagar	97 0.6×	119 1.0×	62 1.0×	34 0.6×	39 0.8×	34	450
Ninni Singh	113 0.7×	53 0.4×	61 1.0×	53 0.9×	80 1.7×	28	417
Muhammad Assam	127 0.8×	66 0.6×	48 0.8×	52 0.9×	108 2.3×	35	388
Kaniz Fatema	170 1.0×	73 0.6×	18 0.3×	33 0.6×	51 1.1×	31	452
Samar M. Alqhtani	170 1.0×	92 0.8×	81 1.3×	71 1.2×	126 2.6×	45	495
Vivek Kumar Prasad	175 1.1×	49 0.4×	92 1.5×	91 1.5×	30 0.6×	36	426
Nima Jafari Navimipour	217 1.3×	58 0.5×	187 3.0×	117 2.0×	35 0.7×	25	495
Nadhem Nemri	167 1.0×	52 0.4×	102 1.6×	72 1.2×	78 1.6×	49	419
Rahul Gomes	174 1.1×	83 0.7×	164 2.6×	109 1.8×	52 1.1×	34	473
Sovon Chakraborty	206 1.3×	140 1.2×	20 0.3×	41 0.7×	55 1.1×	24	436

Countries citing papers authored by Hadil Shaiba

Since Specialization

Citations

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

Fields of papers citing papers by Hadil Shaiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadil Shaiba

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