Gregory J. Gerling

2.3k total citations
98 papers, 1.6k citations indexed

About

Gregory J. Gerling is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gregory J. Gerling has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 30 papers in Biomedical Engineering and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gregory J. Gerling's work include Tactile and Sensory Interactions (44 papers), Advanced Sensor and Energy Harvesting Materials (21 papers) and Neuroscience and Neural Engineering (15 papers). Gregory J. Gerling is often cited by papers focused on Tactile and Sensory Interactions (44 papers), Advanced Sensor and Energy Harvesting Materials (21 papers) and Neuroscience and Neural Engineering (15 papers). Gregory J. Gerling collaborates with scholars based in United States, Sweden and South Korea. Gregory J. Gerling's co-authors include Ellen A. Lumpkin, Daine R. Lesniak, Steven C. Hauser, Scott A. Wellnitz, Geb Thomas, Yoshichika Baba, Kara L. Marshall, Huda Y. Zoghbi, Aislyn M. Nelson and Stephen M. Maricich and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Gregory J. Gerling

92 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Gerling United States 22 695 484 205 200 147 98 1.6k
Herman Kingma Netherlands 37 1.3k 1.8× 421 0.9× 251 1.2× 127 0.6× 205 1.4× 165 4.7k
Antonio Maria Chiarelli Italy 26 796 1.1× 908 1.9× 200 1.0× 109 0.5× 99 0.7× 77 2.2k
Hiroshi Ashida Japan 28 1.2k 1.7× 333 0.7× 287 1.4× 49 0.2× 99 0.7× 207 2.5k
John R. Phillips United States 29 1.6k 2.3× 401 0.8× 161 0.8× 291 1.5× 175 1.2× 90 3.7k
Reza Fazel-Rezai United States 25 1.3k 1.8× 495 1.0× 577 2.8× 297 1.5× 68 0.5× 108 2.2k
Mitchell Tyler United States 27 1.2k 1.7× 351 0.7× 282 1.4× 319 1.6× 47 0.3× 62 2.1k
Dae‐Jin Kim United States 27 702 1.0× 191 0.4× 66 0.3× 128 0.6× 49 0.3× 87 1.7k
Mohammad Firoozabadi Iran 21 673 1.0× 433 0.9× 251 1.2× 122 0.6× 47 0.3× 114 1.5k
Ken Johnson United States 17 1.1k 1.6× 291 0.6× 182 0.9× 130 0.7× 162 1.1× 24 1.8k
F. Owen Black United States 39 1.4k 2.1× 282 0.6× 139 0.7× 65 0.3× 347 2.4× 118 5.3k

Countries citing papers authored by Gregory J. Gerling

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Gerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Gerling. 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 Gregory J. Gerling. The network helps show where Gregory J. Gerling may publish in the future.

Co-authorship network of co-authors of Gregory J. Gerling

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Gerling. A scholar is included among the top collaborators of Gregory J. Gerling 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 Gregory J. Gerling. Gregory J. Gerling 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.
Lambert, J.D.C., et al.. (2025). 3-D Reconstruction of Fingertip Deformation During Contact Initiation. Multisensory Research. 1–26.
2.
Gerling, Gregory J., et al.. (2023). An individual's skin stiffness predicts their tactile discrimination of compliance. The Journal of Physiology. 601(24). 5777–5794. 6 indexed citations
3.
Lee, Jaeyeon, et al.. (2023). Perceptibility of programmable softness displays using magnetorheological elastomers. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1518–1524.
4.
Gerling, Gregory J., et al.. (2023). Human-Delivered Brushstroke Characterization Using an Instrumented Brush Focused on Torque. PubMed. 2023. 85–92. 1 indexed citations
5.
McIntyre, Sarah, Steven C. Hauser, Rebecca Boehme, et al.. (2022). The Language of Social Touch Is Intuitive and Quantifiable. Psychological Science. 33(9). 1477–1494. 37 indexed citations
6.
Gerling, Gregory J., et al.. (2020). Time-dependent Cues Encode the Minimum Exploration Time in Discriminating Naturalistic Compliances. PubMed. 2020. 22–27. 4 indexed citations
7.
Hauser, Steven C., et al.. (2019). Roles of Force Cues and Proprioceptive Joint Angles in Active Exploration of Compliant Objects. PubMed. 2019. 353–358. 10 indexed citations
8.
Hauser, Steven C., Sarah McIntyre, Ali Israr, Håkan Olausson, & Gregory J. Gerling. (2019). Uncovering Human-to-Human Physical Interactions that Underlie Emotional and Affective Touch Communication. PubMed. 2019. 407–412. 41 indexed citations
9.
Hauser, Steven C. & Gregory J. Gerling. (2018). Imaging the 3-D deformation of the finger pad when interacting with compliant materials. PubMed. 2018. 7–13. 12 indexed citations
10.
Marshall, Kara L., et al.. (2016). Touch Receptors Undergo Rapid Remodeling in Healthy Skin. Cell Reports. 17(7). 1719–1727. 22 indexed citations
11.
Gerling, Gregory J., et al.. (2016). Facilitating the collection and dissemination of patient care information for emergency medical personnel. 66. 239–244. 4 indexed citations
12.
Gerling, Gregory J., et al.. (2011). Optimizing populations of SAI tactile mechanoreceptors to enable activities of daily living. PubMed. 21. 53–58. 3 indexed citations
13.
Gerling, Gregory J., et al.. (2011). A multi-timescale adaptive threshold model for the SAI tactile afferent to predict response to mechanical vibration. PubMed. 326. 152–155. 2 indexed citations
14.
Gerling, Gregory J., et al.. (2010). Quantifying Palpation Techniques in Relation to Performance in a Clinical Prostate Exam. IEEE Transactions on Information Technology in Biomedicine. 14(4). 1088–1097. 22 indexed citations
15.
Gerling, Gregory J., et al.. (2010). Evaluating populations of tactile sensors for curvature discrimination. PubMed. 46. 59–62. 2 indexed citations
16.
Gerling, Gregory J., et al.. (2010). Psychophysical detection of inclusions with the bare finger amidst softness differentials. PubMed. 2010. 17–20. 4 indexed citations
17.
Maricich, Stephen M., Scott A. Wellnitz, Aislyn M. Nelson, et al.. (2009). Merkel Cells Are Essential for Light-Touch Responses. Science. 324(5934). 1580–1582. 218 indexed citations
18.
Yin, Jie, Gregory J. Gerling, & Xi Chen. (2009). Mechanical modeling of a wrinkled fingertip immersed in water. Acta Biomaterialia. 6(4). 1487–1496. 42 indexed citations
19.
Lesniak, Daine R. & Gregory J. Gerling. (2009). Predicting SA-I mechanoreceptor spike times with a skin-neuron model. Mathematical Biosciences. 220(1). 15–23. 40 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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