Clifton R. Haider

1.5k total citations
71 papers, 928 citations indexed

About

Clifton R. Haider is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Clifton R. Haider has authored 71 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 14 papers in Surgery. Recurrent topics in Clifton R. Haider's work include Advanced MRI Techniques and Applications (20 papers), MRI in cancer diagnosis (12 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Clifton R. Haider is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), MRI in cancer diagnosis (12 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Clifton R. Haider collaborates with scholars based in United States, Czechia and Austria. Clifton R. Haider's co-authors include Stephen J. Riederer, Antonio J. Forte, Sahar Borna, Norbert G. Campeau, John Huston, Peng Hu, Eric A. Borisch, James F. Glockner, Cesar A. Gomez-Cabello and Sophia M. Pressman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and NeuroImage.

In The Last Decade

Clifton R. Haider

64 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clifton R. Haider United States 19 359 167 125 116 110 71 928
Milan Toma United States 16 104 0.3× 127 0.8× 168 1.3× 93 0.8× 286 2.6× 72 794
Christina Malamateniou United Kingdom 22 694 1.9× 95 0.6× 57 0.5× 328 2.8× 67 0.6× 79 1.4k
Jiayao Zhang China 12 119 0.3× 230 1.4× 138 1.1× 137 1.2× 56 0.5× 33 858
Jin K. Kim Canada 18 129 0.4× 93 0.6× 245 2.0× 94 0.8× 54 0.5× 138 1.3k
Srini Tridandapani United States 17 699 1.9× 334 2.0× 126 1.0× 139 1.2× 158 1.4× 90 1.3k
Akshay Chaudhari United States 23 953 2.7× 477 2.9× 273 2.2× 245 2.1× 46 0.4× 105 2.0k
Tomohiro Kuroda Japan 16 216 0.6× 145 0.9× 120 1.0× 18 0.2× 54 0.5× 165 1.2k
Anne de Hond Netherlands 12 139 0.4× 127 0.8× 206 1.6× 163 1.4× 242 2.2× 30 1.1k
Shinjini Kundu United States 11 153 0.4× 46 0.3× 37 0.3× 164 1.4× 41 0.4× 19 690
Ilse Kant Netherlands 16 152 0.4× 50 0.3× 46 0.4× 196 1.7× 76 0.7× 32 819

Countries citing papers authored by Clifton R. Haider

Since Specialization
Citations

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

Fields of papers citing papers by Clifton R. Haider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clifton R. Haider. 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 Clifton R. Haider. The network helps show where Clifton R. Haider may publish in the future.

Co-authorship network of co-authors of Clifton R. Haider

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

All Works

20 of 20 papers shown
1.
Uchida, K, Clifton R. Haider, Norbert G. Campeau, et al.. (2025). Regional variation in cerebral oxygen metabolism during acute severe hypoxia with temporary cognitive impairment. NeuroImage. 316. 121302–121302.
2.
Pressman, Sophia M., Sahar Borna, Cesar A. Gomez-Cabello, et al.. (2025). Man Versus Machine: A Comparative Study of Human and ChatGPT-Generated Abstracts in Plastic Surgery Research. Aesthetic Plastic Surgery. 49(17). 5013–5020. 1 indexed citations
3.
Borna, Sahar, et al.. (2024). Artificial Intelligence Algorithms for Expert Identification in Medical Domains: A Scoping Review. European Journal of Investigation in Health Psychology and Education. 14(5). 1182–1196. 2 indexed citations
4.
Haider, Syed Ali, Sahar Borna, Cesar A. Gomez-Cabello, et al.. (2024). The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare. Journal of Racial and Ethnic Health Disparities. 13(1). 188–217. 14 indexed citations
5.
Pressman, Sophia M., Sahar Borna, Cesar A. Gomez-Cabello, et al.. (2024). AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research. Healthcare. 12(8). 825–825. 48 indexed citations
6.
Eldaly, Abdullah S., Francisco R. Ávila, Ricardo A. Torres‐Guzman, et al.. (2023). Machine Learning Algorithms Predict Long-Term Postoperative Opioid Misuse: A Systematic Review. The American Surgeon. 90(1). 140–151. 5 indexed citations
7.
Holmes, David R., et al.. (2023). Generalizing and Mapping Actigraphy Based Sleep Detection Algorithms. 1469–1473.
8.
9.
Borna, Sahar, Michael J. Maniaci, Clifton R. Haider, et al.. (2023). Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications. Healthcare. 11(18). 2584–2584. 14 indexed citations
10.
Haider, Clifton R., Karla C. Maita, Ricardo A. Torres‐Guzman, et al.. (2023). Using AI to Detect Pain through Facial Expressions: A Review. Bioengineering. 10(5). 548–548. 30 indexed citations
11.
Techentin, Robert W., David R. Holmes, Timothy B. Curry, et al.. (2023). Towards a Lightweight Classifier to Detect Hypovolemic Shock. PubMed. 115. 1–5. 1 indexed citations
12.
Forte, Antonio J., Christopher J. McLeod, Charles J. Bruce, et al.. (2023). Predicting Cardiopulmonary Arrest with Digital Biomarkers: A Systematic Review. Journal of Clinical Medicine. 12(23). 7430–7430. 1 indexed citations
13.
Haider, Clifton R., et al.. (2023). Identification of Sleep Patterns via Clustering of Hypnodensities. PubMed. 12. 1–4. 1 indexed citations
14.
Borna, Sahar, Clifton R. Haider, Karla C. Maita, et al.. (2023). A Review of Voice-Based Pain Detection in Adults Using Artificial Intelligence. Bioengineering. 10(4). 500–500. 10 indexed citations
15.
Maita, Karla C., Francisco R. Ávila, Ricardo A. Torres‐Guzman, et al.. (2023). Imaging evaluated remotely through telemedicine as a reliable alternative for accurate diagnosis: a systematic review. Health and Technology. 13(3). 347–364. 1 indexed citations
16.
Convertino, Víctor A., Robert W. Techentin, Sylvain Cardin, et al.. (2022). AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms. Sensors. 22(7). 2642–2642. 9 indexed citations
17.
Smital, Lukáš, Clifton R. Haider, Martin Vítek, et al.. (2020). Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions. IEEE Transactions on Biomedical Engineering. 67(10). 2721–2734. 66 indexed citations
18.
Gilbert, Barry K., Clifton R. Haider, Daniel Schwab, et al.. (2015). A Measurement-Quality Body-Worn Sensor-Agnostic Physiological Monitor for Biomedical Applications. 5(2). 34–66. 4 indexed citations
19.
Kim, Dae‐Hyun, Joshua D. Trzasko, Mikhail Smelyanskiy, et al.. (2010). High-performance 3D Compressive Sensing MRI reconstruction. PubMed. 2010. 3321–3324. 9 indexed citations
20.
Haider, Clifton R., Eric A. Borisch, James F. Glockner, et al.. (2010). Max CAPR: High‐resolution 3D contrast‐enhanced MR angiography with acquisition times under 5 seconds. Magnetic Resonance in Medicine. 64(4). 1171–1181. 11 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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