Matthew Madany

550 total citations
4 papers, 150 citations indexed

About

Matthew Madany is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew Madany has authored 4 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biophysics, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Matthew Madany's work include Cell Image Analysis Techniques (2 papers), Functional Brain Connectivity Studies (1 paper) and Neural dynamics and brain function (1 paper). Matthew Madany is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Functional Brain Connectivity Studies (1 paper) and Neural dynamics and brain function (1 paper). Matthew Madany collaborates with scholars based in United States, Austria and Germany. Matthew Madany's co-authors include Mark H. Ellisman, Eric A. Bushong, Daniela Boassa, Thomas J. Deerinck, Matthias G. Haberl, Steven T. Peltier, Christopher Churas, Sébastien Phan, Cesar Nava Gonzales and Chih‐Ying Su and has published in prestigious journals such as Nature Methods, eLife and ACS Chemical Neuroscience.

In The Last Decade

Matthew Madany

4 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Madany United States 3 71 34 31 30 25 4 150
Larry Lindsey United States 3 103 1.5× 43 1.3× 62 2.0× 28 0.9× 20 0.8× 3 215
Nils Eckstein United States 3 61 0.9× 43 1.3× 37 1.2× 74 2.5× 14 0.6× 3 206
Alyson Petruncio United States 3 62 0.9× 15 0.4× 40 1.3× 88 2.9× 14 0.6× 4 194
Xiaofei Han China 12 111 1.6× 20 0.6× 18 0.6× 64 2.1× 30 1.2× 33 336
Benedikt Staffler Germany 4 81 1.1× 84 2.5× 57 1.8× 42 1.4× 9 0.4× 4 243
Erin E. Diel United States 3 76 1.1× 20 0.6× 12 0.4× 67 2.2× 5 0.2× 3 167
Kimberly Meechan United Kingdom 4 59 0.8× 37 1.1× 62 2.0× 42 1.4× 6 0.2× 7 196
Fabian Tschopp United States 3 50 0.7× 16 0.5× 26 0.8× 18 0.6× 14 0.6× 3 130
Anne Jorstad Switzerland 9 58 0.8× 68 2.0× 24 0.8× 42 1.4× 7 0.3× 12 238
Philipp Hanslovsky Germany 3 102 1.4× 15 0.4× 11 0.4× 69 2.3× 34 1.4× 3 196

Countries citing papers authored by Matthew Madany

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Madany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Madany. 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 Matthew Madany. The network helps show where Matthew Madany may publish in the future.

Co-authorship network of co-authors of Matthew Madany

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

All Works

4 of 4 papers shown
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2.
Steinkellner, Thomas, Matthew Madany, Matthias G. Haberl, et al.. (2021). Genetic Probe for Visualizing Glutamatergic Synapses and Vesicles by 3D Electron Microscopy. ACS Chemical Neuroscience. 12(4). 626–639. 2 indexed citations
3.
4.
Haberl, Matthias G., Christopher Churas, Daniela Boassa, et al.. (2018). CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation. Nature Methods. 15(9). 677–680. 117 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Larry Lindsey Breakdown of academic impact, for papers by Nils Eckstein Breakdown of academic impact, for papers by Alyson Petruncio Breakdown of academic impact, for papers by Xiaofei Han Breakdown of academic impact, for papers by Benedikt Staffler Breakdown of academic impact, for papers by Erin E. Diel Breakdown of academic impact, for papers by Kimberly Meechan Breakdown of academic impact, for papers by Fabian Tschopp Breakdown of academic impact, for papers by Anne Jorstad Breakdown of academic impact, for papers by Philipp Hanslovsky
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