Sharbell Hashoul

20 total papers · 473 total citations
10 papers, 255 citations indexed

About

Sharbell Hashoul is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sharbell Hashoul has authored 10 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sharbell Hashoul's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Digital Radiography and Breast Imaging (3 papers). Sharbell Hashoul is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Digital Radiography and Breast Imaging (3 papers). Sharbell Hashoul collaborates with scholars based in Israel, United States and Australia. Sharbell Hashoul's co-authors include Rami Ben‐Ari, Pavel Kisilev, Boris Ginsburg, Ron Kimmel, Leonid Karlinsky, Ayelet Akselrod-Ballin, Ella Barkan, Sharon Alpert, Eugene Walach and Boaz Ophir and has published in prestigious journals such as The American Journal of Cardiology, IBM Journal of Research and Development and Journal of Medical Imaging and Radiation Oncology.

In The Last Decade

Sharbell Hashoul

10 papers receiving 244 citations

Author Peers

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

Author						Papers	Cites
Sharbell Hashoul	204	174	81	40	24	10	255
Yanfei Hong	192 0.9×	233 1.3×	70 0.9×	26 0.7×	16 0.7×	6	314
Fanjie Kong	157 0.8×	165 0.9×	71 0.9×	23 0.6×	17 0.7×	14	294
Nor Aniza Azmi	195 1.0×	196 1.1×	67 0.8×	37 0.9×	51 2.1×	15	305
Fatemeh Haghighi	134 0.7×	138 0.8×	89 1.1×	21 0.5×	25 1.0×	8	251
Azam Hamidinekoo	199 1.0×	179 1.0×	60 0.7×	31 0.8×	29 1.2×	13	274
Ruibin Feng	152 0.7×	173 1.0×	108 1.3×	42 1.1×	21 0.9×	13	294
Nan Wu	168 0.8×	135 0.8×	33 0.4×	44 1.1×	14 0.6×	7	202
Mohammad Reza Hosseinzadeh Taher	135 0.7×	148 0.9×	88 1.1×	21 0.5×	26 1.1×	14	283
Xinpeng Xie	106 0.5×	151 0.9×	51 0.6×	66 1.6×	12 0.5×	10	270
Hwejin Jung	148 0.7×	146 0.8×	55 0.7×	52 1.3×	14 0.6×	4	213

Countries citing papers authored by Sharbell Hashoul

Since Specialization

Citations

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

Fields of papers citing papers by Sharbell Hashoul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharbell Hashoul

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