William Gray-Roncal

551 total citations
19 papers, 117 citations indexed

About

William Gray-Roncal is a scholar working on Information Systems and Management, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, William Gray-Roncal has authored 19 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems and Management, 5 papers in Cognitive Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in William Gray-Roncal's work include Scientific Computing and Data Management (5 papers), Cell Image Analysis Techniques (4 papers) and Biomedical and Engineering Education (3 papers). William Gray-Roncal is often cited by papers focused on Scientific Computing and Data Management (5 papers), Cell Image Analysis Techniques (4 papers) and Biomedical and Engineering Education (3 papers). William Gray-Roncal collaborates with scholars based in United States, Canada and China. William Gray-Roncal's co-authors include Erik C. Johnson, Jordan Matelsky, Brock A. Wester, Gregory Kiar, Zeyi Wang, Joshua T Vogelstein, Carey E. Priebe, Xi‐Nian Zuo, Michael P. Milham and Luis M. Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Psychology.

In The Last Decade

William Gray-Roncal

18 papers receiving 113 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Gray-Roncal United States 6 44 24 18 16 12 19 117
Jordan Matelsky United States 6 19 0.4× 9 0.4× 18 1.0× 18 1.1× 12 1.0× 14 92
William Gray Roncal United States 6 34 0.8× 38 1.6× 12 0.7× 46 2.9× 5 0.4× 6 137
Rick Herrick United States 5 79 1.8× 56 2.3× 11 0.6× 7 0.4× 7 0.6× 7 130
Dean M. Kleissas United States 6 33 0.8× 9 0.4× 10 0.6× 43 2.7× 9 0.8× 10 105
Lyuba Zehl Germany 6 77 1.8× 7 0.3× 11 0.6× 15 0.9× 13 1.1× 8 122
Kathryn Alpert United States 3 62 1.4× 48 2.0× 12 0.7× 8 0.5× 15 1.3× 4 98
Pierre Rioux Canada 5 70 1.6× 38 1.6× 6 0.3× 8 0.5× 25 2.1× 8 111
Mijung Park United States 6 95 2.2× 3 0.1× 34 1.9× 22 1.4× 13 1.1× 17 168
Tiago Azevedo United Kingdom 6 47 1.1× 22 0.9× 20 1.1× 6 0.4× 1 0.1× 8 129
Matthew Leming United States 8 67 1.5× 35 1.5× 29 1.6× 9 0.6× 9 147

Countries citing papers authored by William Gray-Roncal

Since Specialization
Citations

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

Fields of papers citing papers by William Gray-Roncal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Gray-Roncal. 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 William Gray-Roncal. The network helps show where William Gray-Roncal may publish in the future.

Co-authorship network of co-authors of William Gray-Roncal

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

All Works

19 of 19 papers shown
1.
2.
Rivera, Jorge Hernándo, et al.. (2023). A Predictive Analysis of Imposter Phenomenon in STEM Education. 320–325. 1 indexed citations
3.
Matelsky, Jordan, et al.. (2023). Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients. Scientific Reports. 13(1). 4 indexed citations
4.
Kleissas, Dean M., Jordan Matelsky, Luis M. Rodríguez, et al.. (2022). The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers in Neuroinformatics. 16. 828787–828787. 13 indexed citations
5.
Johnson, Erik C., et al.. (2022). Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. Frontiers in Neuroinformatics. 16. 828458–828458. 2 indexed citations
6.
Johnson, Erik C., et al.. (2022). A framework for rigorous evaluation of human performance in human and machine learning comparison studies. Scientific Reports. 12(1). 13 indexed citations
7.
Robinson, Brian S., Erik C. Johnson, Patricia K. Rivlin, et al.. (2022). Online learning for orientation estimation during translation in an insect ring attractor network. Scientific Reports. 12(1). 3210–3210. 4 indexed citations
8.
Bridgeford, Eric, Zeyi Wang, Ting Xu, et al.. (2021). Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Computational Biology. 17(9). e1009279–e1009279. 32 indexed citations
9.
Gray-Roncal, William, et al.. (2021). Benchmarking Human Performance for Visual Search of Aerial Images. Frontiers in Psychology. 12. 733021–733021. 2 indexed citations
10.
Matelsky, Jordan, Erik C. Johnson, Jennifer Stiso, et al.. (2021). DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries. Scientific Reports. 11(1). 13045–13045. 14 indexed citations
11.
Matelsky, Jordan, et al.. (2021). An Integrated Toolkit for Extensible and Reproducible Neuroscience. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 2413–2418. 3 indexed citations
12.
Liu, Ran, et al.. (2021). Multi-Scale Modeling of Neural Structure in X-Ray Imagery. 141–145. 1 indexed citations
13.
Matelsky, Jordan, et al.. (2020). A substrate for modular, extensible data-visualization. SHILAP Revista de lepidopterología. 5(1). 5 indexed citations
14.
Johnson, Erik C., et al.. (2020). STEM Leadership and Training for Trailblazing Students in an Immersive Research Environment. 1–4. 3 indexed citations
15.
Gray-Roncal, William, et al.. (2019). Data Mining and Sentiment Analysis of Real-Time Twitter Messages for Monitoring and Predicting Events. 42–43. 5 indexed citations
16.
Gray-Roncal, William, et al.. (2019). An Accessible, Distributed, Technology-Based Approach for Student and Mentor Engagement. 142–148. 1 indexed citations
17.
Matelsky, Jordan, et al.. (2018). Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. Journal of Digital Imaging. 31(3). 315–320. 10 indexed citations
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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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Breakdown of academic impact, for papers by Jordan Matelsky Breakdown of academic impact, for papers by William Gray Roncal Breakdown of academic impact, for papers by Rick Herrick Breakdown of academic impact, for papers by Dean M. Kleissas Breakdown of academic impact, for papers by Lyuba Zehl Breakdown of academic impact, for papers by Kathryn Alpert Breakdown of academic impact, for papers by Pierre Rioux Breakdown of academic impact, for papers by Mijung Park Breakdown of academic impact, for papers by Tiago Azevedo Breakdown of academic impact, for papers by Matthew Leming
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