Chris Berka

3.7k total citations · 1 hit paper
77 papers, 2.5k citations indexed

About

Chris Berka is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Chris Berka has authored 77 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 16 papers in Social Psychology and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in Chris Berka's work include EEG and Brain-Computer Interfaces (29 papers), Human-Automation Interaction and Safety (13 papers) and Sleep and Wakefulness Research (12 papers). Chris Berka is often cited by papers focused on EEG and Brain-Computer Interfaces (29 papers), Human-Automation Interaction and Safety (13 papers) and Sleep and Wakefulness Research (12 papers). Chris Berka collaborates with scholars based in United States, Italy and Australia. Chris Berka's co-authors include Daniel J. Levendowski, Richard Olmstead, Gene Davis, Patrice D. Tremoulet, Alan Hoi Lun Yau, Patrick Craven, Maja Stikic, Robin R. Johnson, Murray Krahn and Peter H. Langlois and has published in prestigious journals such as PLoS ONE, Scientific Reports and SLEEP.

In The Last Decade

Chris Berka

71 papers receiving 2.3k citations

Hit Papers

EEG correlates of task engagement and mental workload in ... 2007 2026 2013 2019 2007 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
Chris Berka United States 23 1.3k 535 486 328 219 77 2.5k
Jos J. Adam Netherlands 32 1.6k 1.2× 547 1.0× 549 1.1× 547 1.7× 81 0.4× 123 3.6k
Daniel J. Levendowski United States 22 1.0k 0.8× 392 0.7× 511 1.1× 673 2.1× 49 0.2× 49 2.1k
J. Galen Buckwalter United States 37 796 0.6× 389 0.7× 386 0.8× 383 1.2× 195 0.9× 99 4.5k
Urs P. Mosimann Switzerland 38 1.7k 1.3× 185 0.3× 323 0.7× 350 1.1× 203 0.9× 115 4.5k
Matthew Rizzo United States 40 1.8k 1.4× 1.2k 2.3× 745 1.5× 230 0.7× 139 0.6× 198 5.2k
Alberto Greco Italy 30 1.4k 1.0× 485 0.9× 999 2.1× 302 0.9× 80 0.4× 170 3.5k
Yvonne Tran Australia 43 2.2k 1.7× 392 0.7× 1.6k 3.3× 263 0.8× 309 1.4× 195 6.6k
Patricia A. Shewokis United States 26 1.2k 0.9× 425 0.8× 198 0.4× 111 0.3× 163 0.7× 112 2.7k
Joaquin A. Anguera United States 28 1.9k 1.4× 536 1.0× 945 1.9× 103 0.3× 77 0.4× 69 3.8k
Scott C. Bunce United States 25 1.4k 1.1× 443 0.8× 465 1.0× 92 0.3× 150 0.7× 58 3.1k

Countries citing papers authored by Chris Berka

Since Specialization
Citations

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

Fields of papers citing papers by Chris Berka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Berka

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Berka. A scholar is included among the top collaborators of Chris Berka 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 Chris Berka. Chris Berka 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.
Meghdadi, Amir H., Ajay Verma, Mario F. Mendez, & Chris Berka. (2024). Comparative EEG biosignatures in Alzheimer’s disease and frontotemporal dementia: A pilot study. Alzheimer s & Dementia. 20(S2).
2.
Levendowski, Daniel J., Lana M. Chahine, Simon J.G. Lewis, et al.. (2024). Validation of automated detection of REM sleep without atonia using in-laboratory and in-home recordings. Journal of Clinical Sleep Medicine. 21(3). 583–592. 3 indexed citations
3.
Levendowski, Daniel J., Thomas C. Neylan, Christine M. Walsh, et al.. (2023). Proof-of-concept for characterization of neurodegenerative disorders utilizing two non-REM sleep biomarkers. Frontiers in Neurology. 14. 1272369–1272369. 4 indexed citations
4.
Brown, Timothy L., et al.. (2022). Sensitivity to dose or blood levels of alprazolam in predicting driving impairment. Traffic Injury Prevention. 23(sup1). 1 indexed citations
5.
Brown, Timothy L., et al.. (2022). Perceived effects of cannabis: Generalizability of changes in driving performance. Traffic Injury Prevention. 23(sup1). S8–S13. 2 indexed citations
6.
Brown, Timothy L., et al.. (2021). Perceived effects of cannabis and changes in driving performance under the influence of cannabis. Traffic Injury Prevention. 22(sup1). S8–S13. 6 indexed citations
7.
Brown, Timothy L., et al.. (2021). Cannabis use and reported effects on driving among adults in Iowa. Traffic Injury Prevention. 22(sup1). S187–S189. 2 indexed citations
8.
Brown, Timothy L., Christian Richard, Amir H. Meghdadi, et al.. (2020). EEG biomarkers acquired during a short, straight-line simulated drive to predict impairment from cannabis intoxication. Traffic Injury Prevention. 21(sup1). S130–S134. 7 indexed citations
9.
Meghdadi, Amir H., Chris Berka, Christian Richard, et al.. (2020). EEG event related potentials in sustained, focused and divided attention tasks: Potential biomarkers for cognitive impairment in HIV patients. Clinical Neurophysiology. 132(2). 598–611. 9 indexed citations
10.
Berka, Chris, Marija Stevanović Karić, P. David Mozley, et al.. (2020). Neurophysiological Biomarkers of Parkinson’s Disease. Journal of Parkinson s Disease. 10(2). 471–480. 58 indexed citations
11.
Levendowski, Daniel J., Charlene E. Gamaldo, Erik K. St. Louis, et al.. (2019). Head Position During Sleep: Potential Implications for Patients with Neurodegenerative Disease. Journal of Alzheimer s Disease. 67(2). 631–638. 23 indexed citations
12.
Meghdadi, Amir H., et al.. (2019). Transcranial Impedance Changes during Sleep: A Rheoencephalography Study. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–7. 8 indexed citations
13.
Correa, Kelly A., et al.. (2015). Characterizing donation behavior from psychophysiological indices of narrative experience. Frontiers in Neuroscience. 9. 301–301. 19 indexed citations
14.
Berka, Chris, et al.. (2012). Neurotechnology to Accelerate Learning: During Marksmanship Training. IEEE Pulse. 3(1). 60–63. 9 indexed citations
15.
Johnson, Robin R., Djordje Popovic, Richard Olmstead, et al.. (2011). Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model. Biological Psychology. 87(2). 241–250. 105 indexed citations
16.
Chung, Gregory K. W. K., et al.. (2009). Assessment of Rifle Marksmanship Skill Using Sensor-Based Measures. CRESST Report 755.. 1 indexed citations
17.
Chung, Gregory K. W. K., et al.. (2009). An Exploratory Investigation of the Effect of Individualized Computer-Based Instruction on Rifle Marksmanship Performance and Skill. CRESST Report 754.. 2 indexed citations
18.
Chung, Gregory K. W. K., et al.. (2009). The Influence of Cognitive and Non-Cognitive Factors on the Development of Rifle Marksmanship Skills. CRESST Report 753.. 2 indexed citations
19.
Stevens, Ron, et al.. (2009). Neurophysiologic Collaboration Patterns during Team Problem Solving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 53(12). 804–808. 4 indexed citations
20.
Levendowski, Daniel J., et al.. (2007). In-home evaluation of efficacy and titration of a mandibular advancement device for obstructive sleep apnea. Sleep And Breathing. 11(3). 139–147. 36 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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