Michael A. Gelbart

1.6k total citations
10 papers, 757 citations indexed

About

Michael A. Gelbart is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael A. Gelbart has authored 10 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael A. Gelbart's work include Biocrusts and Microbial Ecology (2 papers), Bacteriophages and microbial interactions (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Michael A. Gelbart is often cited by papers focused on Biocrusts and Microbial Ecology (2 papers), Bacteriophages and microbial interactions (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Michael A. Gelbart collaborates with scholars based in United States, Canada and United Kingdom. Michael A. Gelbart's co-authors include Adam C. Martin, Matthias Kaschube, Eric Wieschaus, Rodrigo Fernández‐González, Ryan P. Adams, José Miguel Hernández-Lobato, Bing He, Stephan Y. Thiberge, Zoubin Ghahramani and Matthew W. Hoffman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Biophysical Journal.

In The Last Decade

Michael A. Gelbart

10 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Gelbart United States 9 423 241 123 84 72 10 757
Cyrus A. Wilson United States 14 619 1.5× 635 2.6× 252 2.0× 53 0.6× 104 1.4× 24 1.7k
Anup Parikh United States 14 131 0.3× 198 0.8× 163 1.3× 37 0.4× 24 0.3× 30 780
Mingzhai Sun United States 20 254 0.6× 537 2.2× 260 2.1× 63 0.8× 115 1.6× 57 1.5k
Bogusław Obara United Kingdom 17 109 0.3× 460 1.9× 171 1.4× 190 2.3× 177 2.5× 79 1.3k
Adam Fraser United States 5 132 0.3× 586 2.4× 105 0.9× 69 0.8× 400 5.6× 6 1.1k
Nicole Rusk United States 14 278 0.7× 610 2.5× 67 0.5× 63 0.8× 29 0.4× 76 1.1k
Ge Yang China 22 662 1.6× 649 2.7× 199 1.6× 61 0.7× 185 2.6× 85 1.4k
Ann‐Shyn Chiang Taiwan 13 191 0.5× 435 1.8× 74 0.6× 11 0.1× 103 1.4× 36 772
Manuel G. Forero Colombia 17 240 0.6× 353 1.5× 46 0.4× 46 0.5× 187 2.6× 68 1.1k
Rafael Sebastián Spain 18 212 0.5× 325 1.3× 138 1.1× 19 0.2× 55 0.8× 75 1.2k

Countries citing papers authored by Michael A. Gelbart

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Gelbart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Gelbart. 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 A. Gelbart. The network helps show where Michael A. Gelbart may publish in the future.

Co-authorship network of co-authors of Michael A. Gelbart

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

All Works

10 of 10 papers shown
1.
Reagen, Brandon, José Miguel Hernández-Lobato, Robert Adolf, et al.. (2017). A case for efficient accelerator design space exploration via Bayesian optimization. Apollo (University of Cambridge). 1–6. 48 indexed citations
2.
Hernández-Lobato, José Miguel, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, & Zoubin Ghahramani. (2016). A General Framework for Constrained Bayesian Optimization using Information-based Search. Journal of Machine Learning Research. 17(1). 5549–5601. 76 indexed citations
3.
Gelbart, Michael A., Jasper Snoek, & Ryan P. Adams. (2014). Bayesian optimization with unknown constraints. Uncertainty in Artificial Intelligence. 250–259. 26 indexed citations
4.
Rippel, Oren, Michael A. Gelbart, & Ryan P. Adams. (2014). Learning Ordered Representations with Nested Dropout. arXiv (Cornell University). 1746–1754. 17 indexed citations
5.
Gelbart, Michael A., Bing He, Adam C. Martin, et al.. (2012). Volume conservation principle involved in cell lengthening and nucleus movement during tissue morphogenesis. Proceedings of the National Academy of Sciences. 109(47). 19298–19303. 101 indexed citations
6.
Banigan, Edward J., Michael A. Gelbart, Zemer Gitai, Andrea J. Liu, & Ned S. Wingreen. (2011). Filament Depolymerization can Explain Chromosome Pulling During Bacterial Mitosis. Biophysical Journal. 100(3). 307a–307a. 2 indexed citations
7.
Banigan, Edward J., Michael A. Gelbart, Zemer Gitai, Ned S. Wingreen, & Andrea J. Liu. (2011). Filament Depolymerization Can Explain Chromosome Pulling during Bacterial Mitosis. PLoS Computational Biology. 7(9). e1002145–e1002145. 25 indexed citations
8.
Vázquez-Reina, Amelio, Michael A. Gelbart, Daniel Huang, et al.. (2011). Segmentation fusion for connectomics. 10. 177–184. 50 indexed citations
9.
Martin, Adam C., Michael A. Gelbart, Rodrigo Fernández‐González, Matthias Kaschube, & Eric Wieschaus. (2010). Integration of contractile forces during tissue invagination. The Journal of Cell Biology. 188(5). 735–749. 395 indexed citations
10.

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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