Michael Pekala

911 total citations · 1 hit paper
16 papers, 575 citations indexed

About

Michael Pekala is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Michael Pekala has authored 16 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Ophthalmology. Recurrent topics in Michael Pekala's work include Retinal and Optic Conditions (3 papers), Retinal Imaging and Analysis (3 papers) and Distributed systems and fault tolerance (2 papers). Michael Pekala is often cited by papers focused on Retinal and Optic Conditions (3 papers), Retinal Imaging and Analysis (3 papers) and Distributed systems and fault tolerance (2 papers). Michael Pekala collaborates with scholars based in United States. Michael Pekala's co-authors include Kátia D. Pacheco, Philippe Burlina, Neil M. Bressler, Neil Joshi, David Freund, Wojciech Czaja, I-Jeng Wang, Gregory D. Hager, Brian C. Williams and R. Jacob Vogelstein and has published in prestigious journals such as The Journal of Physical Chemistry C, Lecture notes in computer science and JAMA Ophthalmology.

In The Last Decade

Michael Pekala

15 papers receiving 562 citations

Hit Papers

Automated Grading of Age-Related Macular Degeneration Fro... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pekala United States 9 406 334 112 103 41 16 575
Rongchang Zhao China 15 554 1.4× 366 1.1× 367 3.3× 128 1.2× 12 0.3× 41 767
Swamidoss Issac Niwas India 14 279 0.7× 202 0.6× 212 1.9× 140 1.4× 19 0.5× 19 499
Zhineng Chen China 10 142 0.3× 58 0.2× 236 2.1× 135 1.3× 16 0.4× 29 408
Walaa Gouda Saudi Arabia 10 163 0.4× 41 0.1× 104 0.9× 267 2.6× 12 0.3× 16 501
Daniel Kermany United States 5 514 1.3× 86 0.3× 137 1.2× 343 3.3× 24 0.6× 8 641
Alican Bozkurt United States 12 189 0.5× 83 0.2× 53 0.5× 89 0.9× 13 0.3× 24 384
Ling Dai China 6 417 1.0× 277 0.8× 189 1.7× 92 0.9× 11 0.3× 10 566
Juan Morales‐Sánchez Spain 10 188 0.5× 74 0.2× 177 1.6× 29 0.3× 7 0.2× 49 381

Countries citing papers authored by Michael Pekala

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Pekala

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

All Works

16 of 16 papers shown
1.
2.
Le, Nam Q., et al.. (2023). Deep Learning Models to Identify Common Phases across Material Systems from X-ray Diffraction. The Journal of Physical Chemistry C. 127(44). 21758–21767. 9 indexed citations
3.
Pekala, Michael, et al.. (2019). OCT Segmentation via Deep Learning: A Review of Recent Work. Lecture notes in computer science. 316–322. 4 indexed citations
4.
Czaja, Wojciech, et al.. (2018). Adversarial examples in remote sensing. 408–411. 66 indexed citations
5.
Burlina, Philippe, Neil Joshi, Michael Pekala, et al.. (2017). Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks. JAMA Ophthalmology. 135(11). 1170–1170. 426 indexed citations breakdown →
6.
Joshi, Neil, Michael Pekala, Kátia D. Pacheco, et al.. (2017). A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. 12 indexed citations
7.
Kleissas, Dean M., Joshua T Vogelstein, Kunal Lillaney, et al.. (2015). An automated images-to-graphs framework for high resolution connectomics. Frontiers in Neuroinformatics. 9. 20–20. 10 indexed citations
8.
Roncal, William Gray, Michael Pekala, Dean M. Kleissas, et al.. (2015). VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. 81.1–81.13. 10 indexed citations
9.
Sharp, Matthew D., et al.. (2012). Exploiting adaptive beamforming for compressive measurements. 9. 337–340. 1 indexed citations
10.
Pekala, Michael, et al.. (2011). Reconfiguring connected resource distribution systems. 24. 94–101. 1 indexed citations
12.
Srivastava, Sanjeev, David A. Cartes, Francisco Maturana, et al.. (2008). A Control System Test Bed for Demonstration of Distributed Computational Intelligence Applied to Reconfi guring Heterogeneous Systems. IEEE Instrumentation & Measurement Magazine. 11(1). 30–37. 7 indexed citations
13.
Srivastava, Sanjeev, Frank Ferrese, David A. Cartes, et al.. (2007). A Control System Test Bed for Demonstration of Distributed Computational Intelligence Applied to Reconfiguring Heterogeneous Systems. 1–8. 8 indexed citations
14.
Pekala, Michael, et al.. (2005). Half-duplex relative navigation and flight autonomy for distributed spacecraft systems. 565–573. 1 indexed citations
15.
Pekala, Michael, et al.. (2002). Intelligent control of auxiliary ship systems. National Conference on Artificial Intelligence. 913–918. 8 indexed citations
16.
Fesq, Lorraine, et al.. (2002). Model-Based Autonomy for the Next Generation of Robotic Spacecraft. 918. 10 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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