Brian Kim

1.3k total citations
43 papers, 897 citations indexed

About

Brian Kim is a scholar working on Cellular and Molecular Neuroscience, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Brian Kim has authored 43 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 7 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Brian Kim's work include Neuroscience and Neural Engineering (12 papers), Adversarial Robustness in Machine Learning (5 papers) and Wireless Signal Modulation Classification (5 papers). Brian Kim is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Adversarial Robustness in Machine Learning (5 papers) and Wireless Signal Modulation Classification (5 papers). Brian Kim collaborates with scholars based in United States, Germany and United Kingdom. Brian Kim's co-authors include Ellis Meng, Seth A. Hara, Jonathan T. W. Kuo, Kemal Davaslıoğlu, Şennur Ulukuş, Yalin E. Sagduyu, Tugba Erpek, Curtis D. Lee, Christian A. Gutierrez and Tom Huxford and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Biology and Lab on a Chip.

In The Last Decade

Brian Kim

40 papers receiving 877 citations

Peers

Brian Kim

CMN

EEE

Shu‐Ping Lin Taiwan

Hyung Jong Bae South Korea

Chuantong Cheng China

Jeffrey M. Weiss United States

Kanmin Xue United Kingdom

Joshua Kim United States

Charles Mackin United States

Allan Fong Singapore

Christopher Yeung United States

Haoyang Sun China

Shu‐Ping Lin Taiwan

Brian Kim

138 ×0.4

CMN

316 ×1.2

262 ×1.0

EEE

37 ×0.2

29 ×0.2

Citations per year, relative to Brian Kim Brian Kim (= 1×) peers Shu‐Ping Lin

Countries citing papers authored by Brian Kim

Since Specialization

Citations

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

Fields of papers citing papers by Brian Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Kim

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

All Works

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20 of 20 papers shown

Li, Mingyuan, et al.. (2025). Judgment of Social Traits and Emotions of “Neutral” Avatars. Cyberpsychology Behavior and Social Networking. 28(3). 196–201. 2 indexed citations

Wang, Elaine, Julia H. Kaufman, Sabrina Lee, Brian Kim, & V. Darleen Opfer. (2024). Instructional System Coherence: A Scoping Literature Review. RAND Corporation eBooks.

Wagner, James, et al.. (2024). Using a Stopping Rule to Optimize Cost-Quality Tradeoffs in a Large, Mixed-Mode Survey: A Simulation Study. Journal of Official Statistics. 41(1). 329–364.

Kim, Brian, et al.. (2023). Hidden population size estimation and diagnostics using two respondent‐driven samples with applications in Armenia. Biometrical Journal. 65(5). e2200136–e2200136.

Kim, Brian, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, & Şennur Ulukuş. (2022). Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. Entropy. 24(8). 1047–1047. 3 indexed citations

Kim, Brian, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, & Şennur Ulukuş. (2020). How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. 763–767. 20 indexed citations

Kim, Brian, et al.. (2020). Using geographical data and rolling statistics for diagnostics of respondent-driven sampling. Social Networks. 69. 74–83. 1 indexed citations

Kim, Brian, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, & Şennur Ulukuş. (2020). Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. 1–6. 62 indexed citations

Kim, Brian, et al.. (2020). The effects of inflammatory bowel disease on caregivers: significant burden and loss of productivity. BMC Health Services Research. 20(1). 556–556. 18 indexed citations

10.

Kim, Brian, et al.. (2017). Healthcare utilization in men with poorer sexual and urinary function recovery following robot-assisted radical prostatectomy. World Journal of Urology. 36(1). 21–26. 3 indexed citations

11.

Kim, Brian, Alexander J. Baldwin, Lawrence Yu, et al.. (2016). Parylene MEMS patency sensor for assessment of hydrocephalus shunt obstruction. Biomedical Microdevices. 18(5). 87–87. 15 indexed citations

12.

Rosopa, Patrick J. & Brian Kim. (2016). Robustness of statistical inferences using linear models with meta-analytic correlation matrices. Human Resource Management Review. 27(1). 216–236. 10 indexed citations

13.

Chu, William, Brian Kim, Jeff Slezak, et al.. (2015). The effect of urologist experience on choosing active surveillance for prostate cancer. World Journal of Urology. 33(11). 1701–1706. 3 indexed citations

14.

Kim, Brian & Ellis Meng. (2015). Review of polymer MEMS micromachining. Journal of Micromechanics and Microengineering. 26(1). 13001–13001. 112 indexed citations

15.

Lee, Curtis D., Seth A. Hara, Lawrence Yu, et al.. (2015). Matrigel coatings forParylene sheath neural probes. Journal of Biomedical Materials Research Part B Applied Biomaterials. 104(2). 357–368. 30 indexed citations

16.

Phillips, Fred, et al.. (2014). High-performance inter-organizational interaction for disaster response: An evolutionary game. Portland International Conference on Management of Engineering and Technology. 243–249. 2 indexed citations

17.

Kuo, Jonathan T. W., Brian Kim, Seth A. Hara, et al.. (2012). Novel flexible Parylene neural probe with 3D sheath structure for enhancing tissue integration. Lab on a Chip. 13(4). 554–561. 96 indexed citations

18.

Kim, Brian, et al.. (2012). Asymptotic model of electrical stimulation of nerve fibers. Medical & Biological Engineering & Computing. 50(3). 243–251. 8 indexed citations

19.

Oswald, Frederick L., et al.. (2009). Estimating Trait and Situational Variance in a Situational Judgment Test. Human Performance. 22(1). 44–63. 25 indexed citations

20.

Kim, Brian, et al.. (2008). The Nuclear IκB Protein IκBζ Specifically Binds NF-κB p50 Homodimers and Forms a Ternary Complex on κB DNA. Journal of Molecular Biology. 379(1). 122–135. 58 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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