Justin Brooks

421 total citations
29 papers, 277 citations indexed

About

Justin Brooks is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Justin Brooks has authored 29 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Justin Brooks's work include EEG and Brain-Computer Interfaces (13 papers), Heart Rate Variability and Autonomic Control (8 papers) and Neural dynamics and brain function (6 papers). Justin Brooks is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Heart Rate Variability and Autonomic Control (8 papers) and Neural dynamics and brain function (6 papers). Justin Brooks collaborates with scholars based in United States, Netherlands and Germany. Justin Brooks's co-authors include Derek P. Spangler, Tinoosh Mohsenin, Julian F. Thayer, Scott E. Kerick, James M. Hogle, Javier O. Garcia, Arianna Loregian, David J. Filman, B.A. Appleton and Donald M. Coen and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Physiology & Behavior.

In The Last Decade

Justin Brooks

24 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Brooks United States 9 76 68 48 48 34 29 277
Jiaqi Gao China 13 87 1.1× 29 0.4× 7 0.1× 36 0.8× 32 0.9× 44 462
Laishuan Wang China 12 117 1.5× 32 0.5× 32 0.7× 14 0.3× 92 2.7× 32 356
Po‐Chih Kuo Taiwan 10 100 1.3× 34 0.5× 28 0.6× 9 0.2× 40 1.2× 36 264
Andreas Tsiartas United States 13 84 1.1× 30 0.4× 13 0.3× 154 3.2× 30 0.9× 35 632
Joseph Nuamah United States 9 99 1.3× 42 0.6× 15 0.3× 46 1.0× 33 1.0× 27 274
Geetika Srivastava India 9 269 3.5× 68 1.0× 24 0.5× 29 0.6× 69 2.0× 51 444
Kenneth Lai Canada 10 32 0.4× 22 0.3× 16 0.3× 30 0.6× 44 1.3× 36 320
Juliana Carneiro Gomes Brazil 11 81 1.1× 20 0.3× 17 0.4× 40 0.8× 26 0.8× 24 308
Kamilla Rún Jóhannsdóttir Iceland 10 98 1.3× 14 0.2× 63 1.3× 53 1.1× 14 0.4× 27 340
Rui Su China 7 67 0.9× 64 0.9× 11 0.2× 129 2.7× 25 0.7× 14 304

Countries citing papers authored by Justin Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Justin Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Brooks. A scholar is included among the top collaborators of Justin Brooks 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 Justin Brooks. Justin Brooks 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.
Novi, Sergio L., et al.. (2025). Deep Learning in Otolaryngology. JAMA Otolaryngology–Head & Neck Surgery. 152(1). 71–71.
2.
Harris, Anthony D., Katherine E Goodman, Lisa Pineles, et al.. (2025). New Kids on the Block: Estimating Use of Next-generation Gram-negative Antibiotics Across Greater Than 700 Hospitals in the United States. Open Forum Infectious Diseases. 12(2). ofaf079–ofaf079. 1 indexed citations
3.
Pollard, Kimberly A., et al.. (2025). Exploring trust in AI-supported military teams using sentiment analysis. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 26(2). 229–266.
5.
Garcia, Javier O., et al.. (2025). Influence of cognitive networks and task performance on fMRI-based state classification using DNN models. Scientific Reports. 15(1). 23689–23689.
6.
Conklin, Sarah M., Kanika Bansal, Ş. Kaya, et al.. (2025). Detection of cortical arousals in sleep using multimodal wearable sensors and machine learning. Scientific Reports. 15(1). 44089–44089.
7.
Bansal, Kanika, Javier O. Garcia, Christopher J. Earley, et al.. (2022). A pilot study to understand the relationship between cortical arousals and leg movements during sleep. Scientific Reports. 12(1). 12685–12685. 4 indexed citations
8.
Brooks, Justin, Joshua C. Crone, & Derek P. Spangler. (2021). A physiological and dynamical systems model of stress. International Journal of Psychophysiology. 166. 83–91. 5 indexed citations
9.
Spangler, Derek P., et al.. (2020). Interplay between state anxiety, heart rate variability, and cognition: An ex-Gaussian analysis of response times. International Journal of Psychophysiology. 159. 60–70. 10 indexed citations
10.
Spangler, Derek P., et al.. (2019). Linking Emotional Reactivity Between Laboratory Tasks and Immersive Environments Using Behavior and Physiology. Frontiers in Human Neuroscience. 13. 54–54. 6 indexed citations
11.
Lance, Brent J., et al.. (2018). Effects of Image Presentation Highlighting and Accuracy on Target Category Learning. IEEE Transactions on Human-Machine Systems. 48(4). 400–407. 1 indexed citations
12.
Spangler, Derek P., et al.. (2018). Intra-Individual Variability in Vagal Control Is Associated With Response Inhibition Under Stress. Frontiers in Human Neuroscience. 12. 475–475. 18 indexed citations
13.
Brooks, Justin, Antony D. Passaro, Scott E. Kerick, et al.. (2018). Overlapping brain network and alpha power changes suggest visuospatial attention effects on driving performance.. Behavioral Neuroscience. 132(1). 23–33. 3 indexed citations
14.
Spangler, Derek P., et al.. (2018). Resting heart rate variability is associated with ex-Gaussian metrics of intra-individual reaction time variability. International Journal of Psychophysiology. 125. 10–16. 13 indexed citations
15.
Vettel, Jean M., Marianna D. Eddy, F. Caroline Davis, et al.. (2018). Different profiles of decision making and physiology under varying levels of stress in trained military personnel. International Journal of Psychophysiology. 131. 73–80. 43 indexed citations
16.
Brouwer, Anne-Marie, et al.. (2018). Improving Real-Life Estimates of Emotion Based on Heart Rate: A Perspective on Taking Metabolic Heart Rate Into Account. Frontiers in Human Neuroscience. 12. 284–284. 30 indexed citations
17.
Vettel, Jean M., Evan C. Carter, Sean M. Fitzhugh, et al.. (2018). 2018 Human Variability Workshop: Insights to Drive Scientific Innovations for Human State Detection and Prediction. 1 indexed citations
18.
Brooks, Justin, Javier O. Garcia, Scott E. Kerick, & Jean M. Vettel. (2016). Differential Functionality of Right and Left Parietal Activity in Controlling a Motor Vehicle. Frontiers in Systems Neuroscience. 10. 106–106. 8 indexed citations
19.
Brooks, Justin & Scott E. Kerick. (2015). Event-related alpha perturbations related to the scaling of steering wheel corrections. Physiology & Behavior. 149. 287–293. 9 indexed citations
20.
Appleton, B.A., Justin Brooks, Arianna Loregian, et al.. (2005). Crystal Structure of the Cytomegalovirus DNA Polymerase Subunit UL44 in Complex with the C Terminus from the Catalytic Subunit. Journal of Biological Chemistry. 281(8). 5224–5232. 53 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

Rankless by CCL
2026