Nick Cheney

1.5k total citations
33 papers, 591 citations indexed

About

Nick Cheney is a scholar working on Mechanical Engineering, Artificial Intelligence and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Nick Cheney has authored 33 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 8 papers in Artificial Intelligence and 6 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Nick Cheney's work include Modular Robots and Swarm Intelligence (10 papers), Balance, Gait, and Falls Prevention (6 papers) and Effects of Vibration on Health (5 papers). Nick Cheney is often cited by papers focused on Modular Robots and Swarm Intelligence (10 papers), Balance, Gait, and Falls Prevention (6 papers) and Effects of Vibration on Health (5 papers). Nick Cheney collaborates with scholars based in United States, Italy and Canada. Nick Cheney's co-authors include Hod Lipson, Jeff Clune, Robert MacCurdy, Josh Bongard, Ryan S. McGinnis, Reed D. Gurchiek, Vytas SunSpiral, Andrew Solomon, Sam Kriegman and Cecilia Laschi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Genetics and Sensors.

In The Last Decade

Nick Cheney

31 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nick Cheney United States	11	273	233	159	113	82	33	591
Takashi Komeda Japan	15	292 1.1×	48 0.2×	34 0.2×	67 0.6×	53 0.6×	91	620
Pei Di China	14	469 1.7×	126 0.5×	23 0.1×	64 0.6×	201 2.5×	50	739
Ahmed Ramadan Egypt	12	206 0.8×	61 0.3×	21 0.1×	22 0.2×	183 2.2×	55	443
Keehong Seo South Korea	18	841 3.1×	90 0.4×	31 0.2×	11 0.1×	82 1.0×	32	1.0k
Daekyum Kim South Korea	11	258 0.9×	64 0.3×	31 0.2×	33 0.3×	111 1.4×	23	464
Soha Pouya Switzerland	9	343 1.3×	123 0.5×	23 0.1×	37 0.3×	98 1.2×	19	428
Cheng Fang China	15	493 1.8×	184 0.8×	64 0.4×	23 0.2×	463 5.6×	55	895
Hoeryong Jung South Korea	12	124 0.5×	77 0.3×	24 0.2×	7 0.1×	72 0.9×	55	490
Shuhei Ikemoto Japan	15	440 1.6×	128 0.5×	99 0.6×	9 0.1×	281 3.4×	63	734
Nirvana Popescu Romania	12	225 0.8×	58 0.2×	66 0.4×	5 0.0×	105 1.3×	73	644

Countries citing papers authored by Nick Cheney

Since Specialization

Citations

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

Fields of papers citing papers by Nick Cheney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Cheney

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mitchell, Kevin J. & Nick Cheney. (2025). The Genomic Code: the genome instantiates a generative model of the organism. Trends in Genetics. 41(6). 462–479. 4 indexed citations

Cheney, Nick, et al.. (2024). LDCT image biomarkers that matter most for the deep learning classification of indeterminate pulmonary nodules. Cancer Biomarkers. 42(1). CBM230444–CBM230444.

Cheney, Nick, et al.. (2024). Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. Proceedings of the Genetic and Evolutionary Computation Conference. 367–376. 1 indexed citations

Jangraw, David C., et al.. (2024). Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 967–973.

Bucini, Gabriela, Eric M. Clark, Scott C. Merrill, et al.. (2023). Connecting livestock disease dynamics to human learning and biosecurity decisions. Frontiers in Veterinary Science. 9. 1067364–1067364. 2 indexed citations

DePetrillo, Paolo B., et al.. (2023). Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2132–2139. 5 indexed citations

Rizzo, Donna M., et al.. (2023). Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. PubMed. 2023. 1–4. 3 indexed citations

Cheney, Nick, et al.. (2023). Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots. Proceedings of the Genetic and Evolutionary Computation Conference. 174–183. 3 indexed citations

Chawla, A. & Nick Cheney. (2023). Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization. 187–190. 1 indexed citations

10.

Gurchiek, Reed D., et al.. (2022). Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis. SHILAP Revista de lepidopterología. 1(10). e0000120–e0000120. 10 indexed citations

11.

Koretsky, Mathew J., Ethan Y. Brovman, Richard D. Urman, Mitchell H. Tsai, & Nick Cheney. (2022). A machine learning approach to predicting early and late postoperative reintubation. Journal of Clinical Monitoring and Computing. 37(2). 501–508. 2 indexed citations

12.

Gurchiek, Reed D., et al.. (2022). How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. Sensors. 22(18). 6982–6982. 12 indexed citations

13.

Broek‐Altenburg, Eline van den, et al.. (2021). Understanding the factors that affect the appropriateness of rheumatology referrals. BMC Health Services Research. 21(1). 1124–1124. 3 indexed citations

14.

Gurchiek, Reed D., et al.. (2020). Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. IEEE Journal of Biomedical and Health Informatics. 25(5). 1824–1831. 55 indexed citations

15.

Cheney, Nick, Josh Bongard, Vytas SunSpiral, & Hod Lipson. (2018). Scalable co-optimization of morphology and control in embodied machines. Journal of The Royal Society Interface. 15(143). 20170937–20170937. 54 indexed citations

16.

Soros, L. B., et al.. (2016). How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution. 208–215. 2 indexed citations

17.

Soros, L. B., Nick Cheney, & Kenneth O. Stanley. (2016). How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution. 208–215. 2 indexed citations

18.

Cheney, Nick, Josh Bongard, & Hod Lipson. (2015). Evolving Soft Robots in Tight Spaces. 935–942. 58 indexed citations

19.

Cheney, Nick & Hod Lipson. (2015). Topological evolution for embodied cellular automata. Theoretical Computer Science. 633. 19–27. 4 indexed citations

20.

Cheney, Nick, Robert MacCurdy, Jeff Clune, & Hod Lipson. (2014). Unshackling evolution. 7(1). 11–23. 83 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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