Michael Pekala
Impact in
- Ophthalmology top 2%
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
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- Retinal Imaging and Analysis
Papers in
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- Fault Detection and Control Systems 2
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- Robotic Path Planning Algorithms 2
- Co-authors
- Neil M. Bressler (3 shared papers)David Freund (2 shared papers)Neil Joshi (2 shared papers)Philippe Burlina (2 shared papers)Kátia D. Pacheco (2 shared papers)Wojciech Czaja (1 shared paper)I-Jeng Wang (1 shared paper)Randal Burns (2 shared papers)
- Journals
- JAMA Ophthalmology (1 paper)The Journal of Physical Chemistry C (1 paper)Frontiers in Neuroinformatics (1 paper)IEEE Instrumentation & Measurement Magazine (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Pekala
15 papers receiving 571 citations
Michael Pekala's Hit Papers
Peers
Comparison fields: 5 of 75
- Ophthalmology 229
- Radiology, Nuclear Medicine and Imaging 342
- Health Informatics 21
- Structural Biology 8
- Computer Vision and Pattern Recognition 95
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 | 431 |
| 2 | 2018 | 67 | |
| 3 | 2017 | 12 | |
| 4 | 2015 | 11 | |
| 5 | Model-Based Autonomy for the Next Generation of Robotic Spacecraft | 2002 | 10 |
| 6 | 2023 | 10 | |
| 7 | 2015 | 10 | |
| 8 | 2002 | 8 | |
| 9 | 2007 | 8 | |
| 10 | 2008 | 7 | |
| 11 | 2019 | 4 | |
| 12 | 2009 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2005 | 1 | |
| 16 | 2024 | 0 |
About Michael Pekala
Michael Pekala is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 16 papers that have together received 583 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (2 papers), Robotic Path Planning Algorithms (2 papers), Real-Time Systems Scheduling (2 papers), Distributed systems and fault tolerance (2 papers), AI-based Problem Solving and Planning (2 papers), Retinal and Optic Conditions (2 papers), Fault Detection and Control Systems (2 papers) and Petri Nets in System Modeling (1 paper). The work is most often cited by research in Ophthalmology (229 citations), Radiology, Nuclear Medicine and Imaging (342 citations), Health Informatics (21 citations), Structural Biology (8 citations) and Computer Vision and Pattern Recognition (95 citations). Michael Pekala has collaborated with scholars based in United States. Frequent co-authors include Neil M. Bressler, David Freund, Neil Joshi, Philippe Burlina, Kátia D. Pacheco, Wojciech Czaja, I-Jeng Wang, Randal Burns, Jun Kong and Dean M. Kleissas. Their work appears in journals such as JAMA Ophthalmology, The Journal of Physical Chemistry C, Frontiers in Neuroinformatics, IEEE Instrumentation & Measurement Magazine and Lecture notes in computer science.
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.