Saeed Amal

429 total citations
17 papers, 217 citations indexed

About

Saeed Amal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Saeed Amal has authored 17 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Saeed Amal's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Peripheral Artery Disease Management (4 papers). Saeed Amal is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Peripheral Artery Disease Management (4 papers). Saeed Amal collaborates with scholars based in United States and Israel. Saeed Amal's co-authors include Elsie Ross, Jesutofunmi A. Omiye, Anne Breggia, Einat Minkov, Tsvi Kuflik, Steven M. Asch, Peter Brusilovsky, Vy T. Ho, Chun-Hua Tsai and Stephen Ryan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Saeed Amal

17 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saeed Amal United States	8	91	59	39	33	28	17	217
Meng-Ju Hsieh Taiwan	13	63 0.7×	42 0.7×	20 0.5×	24 0.7×	54 1.9×	21	340
Thomas Gumbsch Switzerland	4	127 1.4×	31 0.5×	25 0.6×	48 1.5×	17 0.6×	8	270
Meghavi Rana India	6	107 1.2×	95 1.6×	48 1.2×	12 0.4×	14 0.5×	11	253
Bader Aldughayfiq Saudi Arabia	7	76 0.8×	44 0.7×	39 1.0×	23 0.7×	9 0.3×	18	279
Mahdieh Montazeri Iran	7	106 1.2×	81 1.4×	48 1.2×	10 0.3×	21 0.8×	25	293
Yuri Ahuja United States	9	104 1.1×	26 0.4×	51 1.3×	45 1.4×	18 0.6×	14	244
Juri Yanase United States	5	128 1.4×	111 1.9×	30 0.8×	12 0.4×	40 1.4×	10	305
Sakyajit Bhattacharya India	11	108 1.2×	23 0.4×	40 1.0×	72 2.2×	44 1.6×	25	286
Rohit Joshi United States	7	206 2.3×	30 0.5×	57 1.5×	20 0.6×	13 0.5×	7	310
Yingcheng Sun United States	9	96 1.1×	20 0.3×	23 0.6×	21 0.6×	7 0.3×	27	241

Countries citing papers authored by Saeed Amal

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Amal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Amal

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

All Works

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17 of 17 papers shown

Jain, Monika, et al.. (2025). Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset. SHILAP Revista de lepidopterología. 4(1). 8–8. 3 indexed citations

Brogan, Kathryn, Michael Wilczek, Naim Shehadeh, et al.. (2025). Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing Explainability. Biomedicines. 13(2). 258–258. 2 indexed citations

Omiye, Jesutofunmi A., et al.. (2024). Clinical use of polygenic risk scores for detection of peripheral artery disease and cardiovascular events. PLoS ONE. 19(5). e0303610–e0303610. 11 indexed citations

Breggia, Anne, et al.. (2024). Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset. Diagnostics. 14(16). 1746–1746. 6 indexed citations

Amal, Saeed, et al.. (2024). Applications of AI in multi-modal imaging for cardiovascular disease. SHILAP Revista de lepidopterología. 3. 1294068–1294068. 20 indexed citations

Breggia, Anne, et al.. (2024). Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology. Cancers. 16(12). 2222–2222. 19 indexed citations

Breggia, Anne, et al.. (2024). Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset. Bioengineering. 11(6). 624–624. 1 indexed citations

Breggia, Anne, et al.. (2023). Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application: Synergizing Deep Learning Models, Multimodal Data, and Insights from Usability Study with Pathologists. Cancers. 15(23). 5659–5659. 11 indexed citations

Ho, Vy T., et al.. (2023). Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders. JMIR Cardio. 7. e44732–e44732. 13 indexed citations

10.

Harrison, Lane, et al.. (2023). Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer . 166–170. 4 indexed citations

11.

Amal, Saeed, et al.. (2022). Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care. Frontiers in Cardiovascular Medicine. 9. 840262–840262. 84 indexed citations

12.

Amal, Saeed, et al.. (2022). Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records. Scientific Reports. 12(1). 13364–13364. 18 indexed citations

13.

Amal, Saeed, et al.. (2020). Demonstrating Personalized Multifaceted Visualization of People Recommendation to Conference Participants. 49–50. 3 indexed citations

14.

Amal, Saeed, et al.. (2020). Personalized Multifaceted Visualization of Scholars Profiles. 1–3. 1 indexed citations

15.

Amal, Saeed, et al.. (2019). Enhancing explainability of social recommendation using 2D graphs and word cloud visualizations. 21–22. 1 indexed citations

16.

Amal, Saeed, Chun-Hua Tsai, Peter Brusilovsky, Tsvi Kuflik, & Einat Minkov. (2019). Relational social recommendation: Application to the academic domain. Expert Systems with Applications. 124. 182–195. 14 indexed citations

17.

Amal, Saeed, Tsvi Kuflik, & Einat Minkov. (2017). Harvesting Entity-relation Social Networks from the Web. 351–352. 6 indexed citations

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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