Dani Kiyasseh

708 total citations
11 papers, 327 citations indexed

About

Dani Kiyasseh is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Health Informatics. According to data from OpenAlex, Dani Kiyasseh has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Health Informatics. Recurrent topics in Dani Kiyasseh's work include Surgical Simulation and Training (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Dani Kiyasseh is often cited by papers focused on Surgical Simulation and Training (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Dani Kiyasseh collaborates with scholars based in United States, United Kingdom and Vietnam. Dani Kiyasseh's co-authors include Tingting Zhu, Andrew J. Hung, David A. Clifton, Brian J. Miles, Daniel A. Donoho, Animashree Anandkumar, Christian von Wagner, David A. Clifton, Runzhuo Ma and Zaamin B. Hussain and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Urology.

In The Last Decade

Dani Kiyasseh

11 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dani Kiyasseh United States	8	102	88	80	76	73	11	327
Songxiang Liu China	11	102 1.0×	103 1.2×	115 1.4×	88 1.2×	46 0.6×	23	401
Chi Wei Ong Singapore	10	117 1.1×	92 1.0×	83 1.0×	63 0.8×	48 0.7×	29	436
Ghada Zamzmi United States	16	32 0.3×	67 0.8×	49 0.6×	197 2.6×	127 1.7×	54	649
Varun Buch United States	8	29 0.3×	30 0.3×	141 1.8×	152 2.0×	132 1.8×	11	423
Christian P. Mol Netherlands	12	39 0.4×	119 1.4×	31 0.4×	288 3.8×	40 0.5×	18	447
Hoon Ko South Korea	11	78 0.8×	212 2.4×	84 1.1×	329 4.3×	172 2.4×	23	619
Gleb Danilov Russia	10	70 0.7×	58 0.7×	62 0.8×	74 1.0×	58 0.8×	102	408
Azira Khalil Malaysia	12	78 0.8×	56 0.6×	18 0.2×	150 2.0×	54 0.7×	24	340
Hitoshi Mori Japan	9	28 0.3×	19 0.2×	42 0.5×	98 1.3×	135 1.8×	65	449
Mousumi Bhaduri Canada	12	48 0.5×	71 0.8×	30 0.4×	158 2.1×	75 1.0×	20	381

Countries citing papers authored by Dani Kiyasseh

Since Specialization

Citations

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

Fields of papers citing papers by Dani Kiyasseh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dani Kiyasseh

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

All Works

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11 of 11 papers shown

Kiyasseh, Dani, Aaron B. Cohen, Chengsheng Jiang, & Nicholas Altieri. (2024). A framework for evaluating clinical artificial intelligence systems without ground-truth annotations. Nature Communications. 15(1). 6 indexed citations

Kiyasseh, Dani, et al.. (2023). PD30-05 AI-BASED VIDEO FEEDBACK TO IMPROVE NOVICE PERFORMANCE ON A ROBOTIC SUTURING TASK. The Journal of Urology. 209(Supplement 4). 2 indexed citations

Kiyasseh, Dani, Runzhuo Ma, Brian J. Miles, et al.. (2023). A vision transformer for decoding surgeon activity from surgical videos. Nature Biomedical Engineering. 7(6). 780–796. 71 indexed citations

Ma, Runzhuo, Dani Kiyasseh, Rafał Kocielnik, et al.. (2023). Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study. Journal of Endourology. 38(8). 884–891. 10 indexed citations

Kiyasseh, Dani, Brian J. Miles, Christian von Wagner, et al.. (2023). A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons. SHILAP Revista de lepidopterología. 3(1). 42–42. 39 indexed citations

Kiyasseh, Dani, Brian J. Miles, Christian von Wagner, et al.. (2023). Human visual explanations mitigate bias in AI-based assessment of surgeon skills. npj Digital Medicine. 6(1). 54–54. 28 indexed citations

Kiyasseh, Dani, Tingting Zhu, & David A. Clifton. (2021). A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions. Nature Communications. 12(1). 4221–4221. 32 indexed citations

Kiyasseh, Dani, Tingting Zhu, & David A. Clifton. (2020). CLOCS: Contrastive Learning of Cardiac Signals.. arXiv (Cornell University). 4 indexed citations

Soltan, Andrew A. S., Samaneh Kouchaki, Tingting Zhu, et al.. (2020). Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test. The Lancet Digital Health. 3(2). e78–e87. 75 indexed citations

10.

Kiyasseh, Dani, Tingting Zhu, & David A. Clifton. (2020). The Promise of Clinical Decision Support Systems Targetting Low-Resource Settings. IEEE Reviews in Biomedical Engineering. 15. 354–371. 9 indexed citations

11.

Kiyasseh, Dani, Girmaw Abebe Tadesse, Le Nguyen Thanh Nhan, et al.. (2020). PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE Journal of Biomedical and Health Informatics. 24(11). 3226–3235. 51 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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