Hossam H. Sultan

738 total citations · 1 hit paper
6 papers, 500 citations indexed

About

Hossam H. Sultan is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hossam H. Sultan has authored 6 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Orthopedics and Sports Medicine and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hossam H. Sultan's work include Ultrasound Imaging and Elastography (4 papers), Bone health and osteoporosis research (3 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). Hossam H. Sultan is often cited by papers focused on Ultrasound Imaging and Elastography (4 papers), Bone health and osteoporosis research (3 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). Hossam H. Sultan collaborates with scholars based in United Kingdom, France and Egypt. Hossam H. Sultan's co-authors include Nancy M. Salem, Walid Al‐Atabany, Laura Peralta, Enrico Grisan, Sevan Harput, Ge Zhang, Mohammad Ghavami, Maya Thanou, Gianluigi Tiberi and Paul Dryburgh and has published in prestigious journals such as IEEE Access, Research Open (London South Bank University) and 2022 IEEE International Ultrasonics Symposium (IUS).

In The Last Decade

Hossam H. Sultan

6 papers receiving 461 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multi-Classification of Brain Tumor Images Using Deep Neural Network

2019 489 citations Hossam H. Sultan, Nancy M. Salem et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hossam H. Sultan United Kingdom	3	440	340	208	119	32	6	500
Wadhah Ayadi Tunisia	6	349 0.8×	280 0.8×	175 0.8×	81 0.7×	28 0.9×	10	406
Foad Kazemi Iran	3	399 0.9×	311 0.9×	173 0.8×	109 0.9×	27 0.8×	9	451
Geethu Mohan India	4	246 0.6×	219 0.6×	119 0.6×	92 0.8×	33 1.0×	8	327
Shuangliang Cao China	6	482 1.1×	435 1.3×	264 1.3×	177 1.5×	55 1.7×	11	639
Abdullah A. Asiri Saudi Arabia	10	261 0.6×	184 0.5×	94 0.5×	112 0.9×	41 1.3×	33	340
Syed M. S. Reza United States	9	302 0.7×	264 0.8×	120 0.6×	124 1.0×	32 1.0×	18	423
Nelly Gordillo Mexico	5	364 0.8×	360 1.1×	85 0.4×	124 1.0×	43 1.3×	12	511
Rachida Saouli Algeria	5	235 0.5×	232 0.7×	85 0.4×	107 0.9×	38 1.2×	13	343
Mostefa Ben Naceur France	3	231 0.5×	223 0.7×	78 0.4×	91 0.8×	35 1.1×	3	311

Countries citing papers authored by Hossam H. Sultan

Since Specialization

Citations

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

Fields of papers citing papers by Hossam H. Sultan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hossam H. Sultan. 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 Hossam H. Sultan. The network helps show where Hossam H. Sultan may publish in the future.

Co-authorship network of co-authors of Hossam H. Sultan

This figure shows the co-authorship network connecting the top 25 collaborators of Hossam H. Sultan. A scholar is included among the top collaborators of Hossam H. Sultan 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 Hossam H. Sultan. Hossam H. Sultan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Sultan, Hossam H., Ge Zhang, Maya Thanou, et al.. (2024). A meta-analysis of the effect of ultrasound activation parameters on phase-change nanodroplets in imaging and therapy. 2. 3 indexed citations

2.

Sultan, Hossam H., Enrico Grisan, Paul Dryburgh, Laura Peralta, & Sevan Harput. (2024). A Consensus Mechanism to Improve Prediction of Cortical Bone Properties Using Ultrafast Ultrasound Acquisition. IEEE Access. 12. 78148–78160. 1 indexed citations

3.

Sultan, Hossam H., Enrico Grisan, Paul Dryburgh, Laura Peralta, & Sevan Harput. (2023). Cortical Bone Thickness Assessment from Multi-frequency Ultrasound RF Data using a Convolutional Architecture with Multi-head Attention. Research Open (London South Bank University). 30. 1–4. 1 indexed citations

4.

Sultan, Hossam H., Enrico Grisan, Laura Peralta, & Sevan Harput. (2022). Estimation of Cortical Bone Strength Using CNN-based Regression Model. 2022 IEEE International Ultrasonics Symposium (IUS). 1–4. 4 indexed citations

5.

Sultan, Hossam H., Enrico Grisan, Laura Peralta, & Sevan Harput. (2022). Classification of Cortical Bone Thicknesses Based on RF Signal Spectral Analysis. 2022 IEEE International Ultrasonics Symposium (IUS). 1–4. 2 indexed citations

6.

Sultan, Hossam H., Nancy M. Salem, & Walid Al‐Atabany. (2019). Multi-Classification of Brain Tumor Images Using Deep Neural Network. IEEE Access. 7. 69215–69225. 489 indexed citations breakdown →

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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