David Mayerich

1.6k total citations
80 papers, 1.1k citations indexed

About

David Mayerich is a scholar working on Biophysics, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Mayerich has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Biophysics, 23 papers in Biomedical Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Mayerich's work include Cell Image Analysis Techniques (28 papers), Spectroscopy Techniques in Biomedical and Chemical Research (26 papers) and Advanced Fluorescence Microscopy Techniques (25 papers). David Mayerich is often cited by papers focused on Cell Image Analysis Techniques (28 papers), Spectroscopy Techniques in Biomedical and Chemical Research (26 papers) and Advanced Fluorescence Microscopy Techniques (25 papers). David Mayerich collaborates with scholars based in United States, China and Netherlands. David Mayerich's co-authors include Rohit Bhargava, Louise C. Abbott, Bruce H. McCormick, Michael J. Walsh, John Keyser, Rohith Reddy, Thomas van Dijk, P. Scott Carney, Badrinath Roysam and Hien Van Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

David Mayerich

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mayerich United States 17 662 265 248 204 165 80 1.1k
Jianhua Yin China 21 261 0.4× 455 1.7× 176 0.7× 221 1.1× 250 1.5× 99 1.4k
Zhenhe Ma China 17 294 0.4× 1.2k 4.4× 170 0.7× 165 0.8× 494 3.0× 89 1.6k
Jayakrupakar Nallala United Kingdom 15 317 0.5× 101 0.4× 200 0.8× 129 0.6× 94 0.6× 33 677
Christopher J. Rowlands United Kingdom 16 444 0.7× 417 1.6× 185 0.7× 252 1.2× 79 0.5× 39 935
Zhensong Wei United States 9 683 1.0× 401 1.5× 33 0.1× 154 0.8× 117 0.7× 28 1.4k
Kevin de Haan United States 17 705 1.1× 422 1.6× 35 0.1× 170 0.8× 172 1.0× 37 1.6k
George Filippidis Greece 23 383 0.6× 528 2.0× 49 0.2× 156 0.8× 96 0.6× 83 1.3k
Julien Pichette Canada 11 361 0.5× 329 1.2× 187 0.8× 119 0.6× 265 1.6× 20 729
Lu Lan United States 17 282 0.4× 626 2.4× 77 0.3× 133 0.7× 148 0.9× 32 1.1k
Youbo Zhao United States 15 388 0.6× 395 1.5× 57 0.2× 119 0.6× 60 0.4× 36 881

Countries citing papers authored by David Mayerich

Since Specialization
Citations

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

Fields of papers citing papers by David Mayerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mayerich

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

All Works

20 of 20 papers shown
1.
2.
Becker, Jan U., David Mayerich, Jonathan Barratt, et al.. (2020). Artificial intelligence and machine learning in nephropathology. Kidney International. 98(1). 65–75. 70 indexed citations
3.
4.
Walsh, Michael J., et al.. (2018). Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks. The Analyst. 144(5). 1642–1653. 72 indexed citations
5.
Walsh, Michael J., et al.. (2018). Selecting optimal features from Fourier transform infrared spectroscopy for discrete-frequency imaging. The Analyst. 143(5). 1147–1156. 16 indexed citations
6.
Shih, Wei‐Chuan, et al.. (2018). Mitigating fringing in discrete frequency infrared imaging using time-delayed integration. Biomedical Optics Express. 9(2). 832–832. 13 indexed citations
7.
Wu, Chen, Henry H. Le, Manmohan Singh, et al.. (2017). Comparison and combination of rotational imaging optical coherence tomography and selective plane illumination microscopy for embryonic study. Biomedical Optics Express. 8(10). 4629–4629. 14 indexed citations
8.
Dijk, Thomas van, et al.. (2017). BIM-Sim: Interactive Simulation of Broadband Imaging Using Mie Theory. Frontiers in Physics. 5. 13 indexed citations
9.
Mayerich, David, et al.. (2016). SIproc: an open-source biomedical data processing platform for large hyperspectral images. The Analyst. 142(8). 1350–1357. 12 indexed citations
10.
Leslie, L. Suzanne, et al.. (2015). High Definition Infrared Spectroscopic Imaging for Lymph Node Histopathology. PLoS ONE. 10(6). e0127238–e0127238. 53 indexed citations
11.
Dijk, Thomas van, David Mayerich, Rohit Bhargava, & P. Scott Carney. (2013). Rapid spectral-domain localization. Optics Express. 21(10). 12822–12822. 8 indexed citations
12.
Mayerich, David, Michael J. Walsh, Matthew V. Schulmerich, & Rohit Bhargava. (2013). Real-time interactive data mining for chemical imaging information: application to automated histopathology. BMC Bioinformatics. 14(1). 156–156. 11 indexed citations
13.
Choe, Yoonsuck, David Mayerich, Jaerock Kwon, et al.. (2011). Specimen Preparation, Imaging, and Analysis Protocols for Knife-edge Scanning Microscopy. Journal of Visualized Experiments. 7 indexed citations
14.
Choe, Yoonsuck, David Mayerich, Jaerock Kwon, et al.. (2011). Specimen Preparation, Imaging, and Analysis Protocols for Knife-edge Scanning Microscopy. Journal of Visualized Experiments. 1 indexed citations
15.
Choe, Yoonsuck, Louise C. Abbott, Giovanna Ponte, et al.. (2010). Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope. BMC Neuroscience. 11(S1). 6 indexed citations
16.
Mayerich, David & John Keyser. (2008). Hardware Accelerated Segmentation of Complex Volumetric Filament Networks. IEEE Transactions on Visualization and Computer Graphics. 15(4). 670–681. 11 indexed citations
17.
Mayerich, David, Louise C. Abbott, & Bruce H. McCormick. (2008). Knife‐edge scanning microscopy for imaging and reconstruction of three‐dimensional anatomical structures of the mouse brain. Journal of Microscopy. 231(1). 134–143. 106 indexed citations
18.
Mayerich, David, Louise C. Abbott, & John Keyser. (2008). Visualization of Cellular and Microvascular Relationships. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1611–1618. 12 indexed citations
19.
Mayerich, David, et al.. (2006). Visualization of Fibrous and Thread-like Data. IEEE Transactions on Visualization and Computer Graphics. 12(5). 1165–1172. 17 indexed citations
20.
McCormick, Bruce H., David Mayerich, & Marian Wiercigroch. (2005). Nanomachining for high-resolution scanning of mammalian brain microstructure. 4830–4835. 2 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 Jianhua Yin Breakdown of academic impact, for papers by Zhenhe Ma Breakdown of academic impact, for papers by Jayakrupakar Nallala Breakdown of academic impact, for papers by Christopher J. Rowlands Breakdown of academic impact, for papers by Zhensong Wei Breakdown of academic impact, for papers by Kevin de Haan Breakdown of academic impact, for papers by George Filippidis Breakdown of academic impact, for papers by Julien Pichette Breakdown of academic impact, for papers by Lu Lan Breakdown of academic impact, for papers by Youbo Zhao
Rankless by CCL
2026