Caleb Kemere

3.3k total citations · 1 hit paper
46 papers, 2.1k citations indexed

About

Caleb Kemere is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Caleb Kemere has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 35 papers in Cognitive Neuroscience and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Caleb Kemere's work include Neuroscience and Neural Engineering (19 papers), EEG and Brain-Computer Interfaces (17 papers) and Memory and Neural Mechanisms (15 papers). Caleb Kemere is often cited by papers focused on Neuroscience and Neural Engineering (19 papers), EEG and Brain-Computer Interfaces (17 papers) and Memory and Neural Mechanisms (15 papers). Caleb Kemere collaborates with scholars based in United States, Italy and United Kingdom. Caleb Kemere's co-authors include Loren M. Frank, Shantanu P. Jadhav, Krishna V. Shenoy, Behnaam Aazhang, Flavia Vitale, Matteo Pasquali, Gopal Santhanam, T.H. Meng, Byron M. Yu and Stephen I. Ryu and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Caleb Kemere

42 papers receiving 2.1k citations

Hit Papers

Awake Hippocampal Sharp-Wave Ripples Support Spatial Memory 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caleb Kemere United States 18 1.5k 1.5k 421 415 129 46 2.1k
Blaise Yvert France 28 1.1k 0.7× 917 0.6× 316 0.8× 596 1.4× 111 0.9× 67 1.9k
Wim Rutten Netherlands 28 1.3k 0.9× 1.6k 1.1× 900 2.1× 506 1.2× 79 0.6× 130 2.4k
Spencer Kellis United States 20 1.6k 1.1× 1.2k 0.8× 423 1.0× 388 0.9× 39 0.3× 76 2.0k
Cynthia A. Chestek United States 31 2.1k 1.4× 2.4k 1.7× 1.1k 2.6× 906 2.2× 205 1.6× 115 3.2k
Maryam Saleh United States 7 2.3k 1.5× 1.9k 1.3× 733 1.7× 623 1.5× 93 0.7× 9 2.7k
Andrew F. Rossi United States 16 2.0k 1.3× 812 0.6× 189 0.4× 258 0.6× 155 1.2× 24 2.6k
Garrett B. Stanley United States 30 2.7k 1.8× 2.2k 1.5× 271 0.6× 477 1.1× 114 0.9× 83 3.5k
Mohit N. Shivdasani Australia 22 744 0.5× 1.2k 0.8× 191 0.5× 700 1.7× 109 0.8× 87 1.6k
Tyler S. Davis United States 22 1.1k 0.7× 1.1k 0.8× 955 2.3× 204 0.5× 50 0.4× 59 1.8k
Sam Musallam United States 17 1.5k 1.0× 1.2k 0.8× 437 1.0× 447 1.1× 56 0.4× 32 1.9k

Countries citing papers authored by Caleb Kemere

Since Specialization
Citations

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

Fields of papers citing papers by Caleb Kemere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caleb Kemere

This figure shows the co-authorship network connecting the top 25 collaborators of Caleb Kemere. A scholar is included among the top collaborators of Caleb Kemere 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 Caleb Kemere. Caleb Kemere 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.
Duret, Guillaume, Alexander V. Rodriguez, Daniel Aharoni, et al.. (2026). MiniFAST: a sensitive and fast miniaturized microscope for in vivo neural recording. Neurophotonics. 13(S2). S23203–S23203.
2.
Coulter, Michael E., Anna K. Gillespie, Eric L. Denovellis, et al.. (2025). Closed-loop modulation of remote hippocampal representations with neurofeedback. Neuron. 113(6). 949–961.e3. 1 indexed citations
3.
Miyawaki, Hiroyuki, et al.. (2024). Retuning of hippocampal representations during sleep. Nature. 629(8012). 630–638. 9 indexed citations
4.
Adams, Jesse K., Jimin Wu, Vivek Boominathan, et al.. (2022). In vivo lensless microscopy via a phase mask generating diffraction patterns with high-contrast contours. Nature Biomedical Engineering. 6(5). 617–628. 56 indexed citations
5.
Kemere, Caleb, et al.. (2021). GhostiPy: An Efficient Signal Processing and Spectral Analysis Toolbox for Large Data. eNeuro. 8(6). ENEURO.0202–21.2021. 3 indexed citations
6.
Singer, Amanda, Ziying Chen, Joshua Chen, et al.. (2020). Magnetoelectric Materials for Miniature, Wireless Neural Stimulation at Therapeutic Frequencies. Neuron. 107(4). 631–643.e5. 138 indexed citations
7.
Fan, Bo, Alexander V. Rodriguez, Daniel G. Vercosa, Caleb Kemere, & Jacob T. Robinson. (2020). Sputtered porous Pt for wafer-scale manufacture of low-impedance flexible microelectrodes. Journal of Neural Engineering. 17(3). 36029–36029. 21 indexed citations
8.
Kemere, Caleb, et al.. (2018). Analysis of an open source, closed-loop, realtime system for hippocampal sharp-wave ripple disruption. Journal of Neural Engineering. 16(1). 16009–16009. 8 indexed citations
9.
Jong, Laurel Watkins de, et al.. (2018). Uncovering temporal structure in hippocampal output patterns. eLife. 7. 35 indexed citations
10.
Vitale, Flavia, Daniel G. Vercosa, Alexander V. Rodriguez, et al.. (2017). Fluidic Microactuation of Flexible Electrodes for Neural Recording. Nano Letters. 18(1). 326–335. 94 indexed citations
11.
Haggerty, Daniel Christopher, et al.. (2017). Hippocampal awake replay in fear memory retrieval. Nature Neuroscience. 20(4). 571–580. 138 indexed citations
12.
Aazhang, Behnaam, et al.. (2015). Investigating irregularly patterned deep brain stimulation signal design using biophysical models. Frontiers in Computational Neuroscience. 9. 78–78. 10 indexed citations
13.
Kemere, Caleb, et al.. (2015). Multi-electrode Recording of Neural Activity in Awake Behaving Animals. Oxford University Press eBooks. 1 indexed citations
14.
Kemere, Caleb, Margaret F. Carr, Mattias Karlsson, & Loren M. Frank. (2013). Rapid and Continuous Modulation of Hippocampal Network State during Exploration of New Places. PLoS ONE. 8(9). e73114–e73114. 86 indexed citations
15.
Jadhav, Shantanu P., et al.. (2012). Awake Hippocampal Sharp-Wave Ripples Support Spatial Memory. Science. 336(6087). 1454–1458. 578 indexed citations breakdown →
16.
Kemere, Caleb, Gopal Santhanam, Byron M. Yu, et al.. (2008). Detecting Neural-State Transitions Using Hidden Markov Models for Motor Cortical Prostheses. Journal of Neurophysiology. 100(4). 2441–2452. 104 indexed citations
17.
Shenoy, Krishna V., Stephen I. Ryu, Afsheen Afshar, et al.. (2006). Increasing the Performance of Cortically-Controlled Prostheses. PubMed. 82. 6652–6656. 8 indexed citations
18.
Kemere, Caleb, Gopal Santhanam, Byron M. Yu, et al.. (2005). Model-based decoding of reaching movements for prosthetic systems. PubMed. 4. 4524–4528. 11 indexed citations
19.
Kemere, Caleb, et al.. (2005). Power feasibility of implantable digital spike sorting circuits for neural prosthetic systems. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 13(3). 272–279. 105 indexed citations
20.
Kemere, Caleb, Krishna V. Shenoy, & T.H. Meng. (2004). Model-Based Neural Decoding of Reaching Movements: A Maximum Likelihood Approach. IEEE Transactions on Biomedical Engineering. 51(6). 925–932. 67 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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