Joshua I. Glaser

1.1k total citations
21 papers, 535 citations indexed

About

Joshua I. Glaser is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Joshua I. Glaser has authored 21 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 5 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Joshua I. Glaser's work include Neural dynamics and brain function (10 papers), EEG and Brain-Computer Interfaces (6 papers) and Visual perception and processing mechanisms (5 papers). Joshua I. Glaser is often cited by papers focused on Neural dynamics and brain function (10 papers), EEG and Brain-Computer Interfaces (6 papers) and Visual perception and processing mechanisms (5 papers). Joshua I. Glaser collaborates with scholars based in United States, Taiwan and Philippines. Joshua I. Glaser's co-authors include Konrad P. Körding, Lee E. Miller, Ari S. Benjamin, Pavan Ramkumar, Jesse A. Livezey, Raeed H. Chowdhury, Qining Wang, Ke Wei, C. J. Heckman and Christopher K. Thompson and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Neuroscience.

In The Last Decade

Joshua I. Glaser

20 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua I. Glaser United States 14 329 134 121 60 53 21 535
Joost Wagenaar United States 17 764 2.3× 106 0.8× 364 3.0× 50 0.8× 57 1.1× 34 985
Jeffrey Seely United States 6 466 1.4× 88 0.7× 148 1.2× 28 0.5× 31 0.6× 6 511
Raeed H. Chowdhury United States 10 358 1.1× 88 0.7× 150 1.2× 20 0.3× 48 0.9× 16 472
Keiji Miura Japan 9 325 1.0× 85 0.6× 239 2.0× 50 0.8× 41 0.8× 41 578
R. Cotton United States 13 628 1.9× 89 0.7× 365 3.0× 100 1.7× 74 1.4× 38 981
Kazutomo Yunokuchi Japan 8 379 1.2× 54 0.4× 119 1.0× 52 0.9× 56 1.1× 42 613
Thomas Deneux France 12 372 1.1× 54 0.4× 215 1.8× 40 0.7× 31 0.6× 19 540
Uri Rokni Israel 7 438 1.3× 67 0.5× 301 2.5× 43 0.7× 43 0.8× 8 575
Eric M. Trautmann United States 11 712 2.2× 109 0.8× 359 3.0× 41 0.7× 149 2.8× 19 879
Jaime E. Heiss United States 10 401 1.2× 50 0.4× 232 1.9× 50 0.8× 30 0.6× 13 535

Countries citing papers authored by Joshua I. Glaser

Since Specialization
Citations

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

Fields of papers citing papers by Joshua I. Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua I. Glaser. 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 Joshua I. Glaser. The network helps show where Joshua I. Glaser may publish in the future.

Co-authorship network of co-authors of Joshua I. Glaser

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua I. Glaser. A scholar is included among the top collaborators of Joshua I. Glaser 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 Joshua I. Glaser. Joshua I. Glaser 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.
Prakash, Prashanth, Robert D. Flint, Jason Hsieh, et al.. (2025). Decoding speech intent from non-frontal cortical areas. Journal of Neural Engineering. 22(1). 16024–16024. 2 indexed citations
2.
Marshall, Najja J., Joshua I. Glaser, Eric M. Trautmann, et al.. (2022). Flexible neural control of motor units. Nature Neuroscience. 25(11). 1492–1504. 45 indexed citations
3.
Bhan, Namita, Jonathan Strutz, Joshua I. Glaser, et al.. (2021). Recording Temporal Signals with Minutes Resolution Using Enzymatic DNA Synthesis. Journal of the American Chemical Society. 143(40). 16630–16640. 18 indexed citations
4.
Chowdhury, Raeed H., Joshua I. Glaser, & Lee E. Miller. (2020). Area 2 of primary somatosensory cortex encodes kinematics of the whole arm. eLife. 9. 35 indexed citations
5.
Glaser, Joshua I., Matthew R Whiteway, John P. Cunningham, Liam Paninski, & Scott W. Linderman. (2020). Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations.. Neural Information Processing Systems. 33. 14867–14878. 1 indexed citations
6.
Livezey, Jesse A. & Joshua I. Glaser. (2020). Deep learning approaches for neural decoding across architectures and recording modalities. Briefings in Bioinformatics. 22(2). 1577–1591. 27 indexed citations
7.
Glaser, Joshua I., et al.. (2019). From Prior Information to Saccade Selection: Evolution of Frontal Eye Field Activity during Natural Scene Search. Cerebral Cortex. 30(3). 1957–1973. 6 indexed citations
8.
Glaser, Joshua I., et al.. (2019). The roles of supervised machine learning in systems neuroscience. Progress in Neurobiology. 175. 126–137. 85 indexed citations
9.
Glaser, Joshua I., Matthew G. Perich, Pavan Ramkumar, Lee E. Miller, & Konrad P. Körding. (2018). Population coding of conditional probability distributions in dorsal premotor cortex. Nature Communications. 9(1). 1788–1788. 32 indexed citations
10.
Laudel, Grit, et al.. (2018). How can we explain the emergence and stability of academic career patterns. Leiden Repository (Leiden University). 890–897. 2 indexed citations
11.
Naufel, Stephanie, Joshua I. Glaser, Konrad P. Körding, Eric J. Perreault, & Lee E. Miller. (2018). A muscle-activity-dependent gain between motor cortex and EMG. Journal of Neurophysiology. 121(1). 61–73. 33 indexed citations
12.
13.
Glaser, Joshua I. & Konrad P. Körding. (2016). The Development and Analysis of Integrated Neuroscience Data. Frontiers in Computational Neuroscience. 10. 11–11. 12 indexed citations
14.
Ramkumar, Pavan, Joshua I. Glaser, Daniel K. Wood, et al.. (2016). Feature-based attention and spatial selection in frontal eye fields during natural scene search. Journal of Neurophysiology. 116(3). 1328–1343. 20 indexed citations
15.
Glaser, Joshua I., et al.. (2015). Puzzle Imaging: Using Large-Scale Dimensionality Reduction Algorithms for Localization. PLoS ONE. 10(7). e0131593–e0131593. 9 indexed citations
16.
Tseng, Yuan‐Chi, Joshua I. Glaser, Eamon Caddigan, & Alejandro Lleras. (2014). Modeling the Effect of Selection History on Pop-Out Visual Search. PLoS ONE. 9(3). e89996–e89996. 18 indexed citations
17.
Weiss, Curtis H., Julia Poncela-Casasnovas, Joshua I. Glaser, et al.. (2014). Adoption of a High-Impact Innovation in a Homogeneous Population. Physical Review X. 4(4). 41008–41008. 25 indexed citations
18.
Wei, Ke, Joshua I. Glaser, Lin Deng, et al.. (2014). Serotonin Affects Movement Gain Control in the Spinal Cord. Journal of Neuroscience. 34(38). 12690–12700. 100 indexed citations
19.
Marblestone, Adam, Mikhail G. Shapiro, Joshua I. Glaser, et al.. (2013). Physical principles for scalable neural recording. Frontiers in Computational Neuroscience. 7. 137–137. 18 indexed citations
20.
Glaser, Joshua I., Adam Marblestone, Jeffrey R. Moffitt, et al.. (2013). Statistical Analysis of Molecular Signal Recording. PLoS Computational Biology. 9(7). e1003145–e1003145. 19 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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