Mirac Süzgün
- Artificial Intelligence top 5%
- Health Informatics top 1%
- Radiology, Nuclear Medicine and Imaging
- Public Health, Environmental and Occupational Health
- Computer Vision and Pattern Recognition
- Co-authors
- Dan JurafskyTravis ZackAtul J. ButteJudy Wawira GichoyaDavid W. BatesEmily AlsentzerJorge A. RodriguezEric Lehman
- Topics
- Natural Language Processing Techniques (3 papers)Topic Modeling (3 papers)Advanced Text Analysis Techniques (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Mirac Süzgün
7 papers receiving 367 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 209
- Health Informatics 138
- Radiology, Nuclear Medicine and Imaging 51
- Public Health, Environmental and Occupational Health 34
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Mirac Süzgün
This map shows the geographic impact of Mirac Süzgün'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 Mirac Süzgün with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirac Süzgün more than expected).
Fields of papers citing papers by Mirac Süzgün
This network shows the impact of papers produced by Mirac Süzgün. 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 Mirac Süzgün. The network helps show where Mirac Süzgün may publish in the future.
Co-authorship network of co-authors of Mirac Süzgün
This figure shows the co-authorship network connecting the top 25 collaborators of Mirac Süzgün. A scholar is included among the top collaborators of Mirac Süzgün 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 Mirac Süzgün. Mirac Süzgün is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Thembreakdown → | 121 |
| 5 | 4 | |
| 6 | Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation studybreakdown → | 222 |
| 7 | 15 | |
| 8 | 19 |
About Mirac Süzgün
Mirac Süzgün is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (138 citations), Family Practice (16 citations) and Artificial Intelligence (209 citations). Mirac Süzgün has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Dan Jurafsky, Travis Zack, Atul J. Butte, Judy Wawira Gichoya, David W. Bates, Emily Alsentzer, Jorge A. Rodriguez, Eric Lehman, Leo Anthony Celi and Peter Szolovits. Their work appears in journals such as Sleep Medicine, Nature Machine Intelligence and The Lancet Digital Health.
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.