Michael Pekala
Impact in
- Ophthalmology top 2%
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Health Informatics top 5%
Papers in
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- Fault Detection and Control Systems 2
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- Robotic Path Planning Algorithms 2
- Co-authors
- Kátia D. Pacheco (2 shared papers)David Freund (2 shared papers)Neil M. Bressler (3 shared papers)Philippe Burlina (2 shared papers)Neil Joshi (2 shared papers)Wojciech Czaja (1 shared paper)I-Jeng Wang (1 shared paper)R. Jacob Vogelstein (2 shared papers)
- Journals
- The Journal of Physical Chemistry C (1 paper)Frontiers in Neuroinformatics (1 paper)JAMA Ophthalmology (1 paper)Lecture notes in computer science (1 paper)IEEE Instrumentation & Measurement Magazine (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Pekala
15 papers receiving 562 citations
Michael Pekala's Hit Papers
Peers
Comparison fields: 5 of 78
- Ophthalmology 334
- Health Informatics 25
- Radiology, Nuclear Medicine and Imaging 406
- Structural Biology 9
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Michael Pekala
This map shows the geographic impact of Michael Pekala'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 Michael Pekala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pekala more than expected).
Fields of papers citing papers by Michael Pekala
This network shows the impact of papers produced by Michael Pekala. 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 Michael Pekala. The network helps show where Michael Pekala may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Pekala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks Hit paper breakdown → | 2017 | 426 |
| 2 | 2018 | 66 | |
| 3 | 2017 | 12 | |
| 4 | Model-Based Autonomy for the Next Generation of Robotic Spacecraft | 2002 | 10 |
| 5 | 2015 | 10 | |
| 6 | 2015 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2002 | 8 | |
| 9 | 2007 | 8 | |
| 10 | 2008 | 7 | |
| 11 | 2019 | 4 | |
| 12 | 2009 | 2 | |
| 13 | 2012 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2024 | 0 |
About Michael Pekala
Michael Pekala is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 575 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (3 papers), Retinal and Optic Conditions (3 papers), AI-based Problem Solving and Planning (2 papers), Fault Detection and Control Systems (2 papers), Robotic Path Planning Algorithms (2 papers), Real-Time Systems Scheduling (2 papers), Distributed systems and fault tolerance (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Ophthalmology (334 citations), Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (406 citations), Structural Biology (9 citations) and Computer Vision and Pattern Recognition (112 citations). Michael Pekala has collaborated with scholars based in United States. Frequent co-authors include Kátia D. Pacheco, David Freund, Neil M. Bressler, Philippe Burlina, Neil Joshi, Wojciech Czaja, I-Jeng Wang, R. Jacob Vogelstein, Randal Burns and Jun Kong. Their work appears in journals such as The Journal of Physical Chemistry C, Frontiers in Neuroinformatics, JAMA Ophthalmology, Lecture notes in computer science and IEEE Instrumentation & Measurement Magazine.
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.