Jesse Spencer-Smith

1.4k total citations
12 papers, 219 citations indexed

About

Jesse Spencer-Smith is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Jesse Spencer-Smith has authored 12 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 3 papers in Health Informatics. Recurrent topics in Jesse Spencer-Smith's work include Artificial Intelligence in Healthcare and Education (3 papers), Face Recognition and Perception (2 papers) and Topic Modeling (2 papers). Jesse Spencer-Smith is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Face Recognition and Perception (2 papers) and Topic Modeling (2 papers). Jesse Spencer-Smith collaborates with scholars based in United States, Netherlands and Philippines. Jesse Spencer-Smith's co-authors include James T. Townsend, Karl S. Rosengren, John D. Polk, Michael J. Wenger, Matthieu Lenoir, Dirk De Clercq, Jules White, Frederik Deconinck, Douglas C. Schmidt and Åse Innes-Ker and has published in prestigious journals such as eLife, The American Journal of Psychology and Gait & Posture.

In The Last Decade

Jesse Spencer-Smith

11 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesse Spencer-Smith United States	7	58	44	41	37	36	12	219
F.J. Maarse Netherlands	7	161 2.8×	32 0.7×	20 0.5×	32 0.9×	44 1.2×	11	349
Piotr Słowiński United Kingdom	9	112 1.9×	27 0.6×	36 0.9×	11 0.3×	9 0.3×	26	241
Christopher R. Cox United States	11	177 3.1×	40 0.9×	37 0.9×	57 1.5×	59 1.6×	27	335
Abdelkader Gouaïch France	8	29 0.5×	54 1.2×	40 1.0×	9 0.2×	33 0.9×	22	246
Charles A. Coey United States	10	275 4.7×	41 0.9×	9 0.2×	35 0.9×	24 0.7×	28	394
Neha Sinha United States	10	71 1.2×	19 0.4×	27 0.7×	38 1.0×	58 1.6×	28	281
Maria Grazia Di Bono Italy	10	165 2.8×	51 1.2×	6 0.1×	41 1.1×	12 0.3×	24	290
Joëlle Tilmanne Belgium	12	65 1.1×	15 0.3×	5 0.1×	107 2.9×	70 1.9×	28	395
Nicola Milano Italy	8	55 0.9×	9 0.2×	22 0.5×	12 0.3×	26 0.7×	25	236
Nuraini Jamil United Arab Emirates	7	206 3.6×	15 0.3×	12 0.3×	27 0.7×	29 0.8×	15	302

Countries citing papers authored by Jesse Spencer-Smith

Since Specialization

Citations

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

Fields of papers citing papers by Jesse Spencer-Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse Spencer-Smith. 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 Jesse Spencer-Smith. The network helps show where Jesse Spencer-Smith may publish in the future.

Co-authorship network of co-authors of Jesse Spencer-Smith

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

All Works

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12 of 12 papers shown

Westerberg, Jacob A., et al.. (2025). Ubiquitous predictive processing in the spectral domain of sensory cortex. eLife.

Schmidt, Douglas C., et al.. (2024). Evaluating the Performance of LLM-Generated Code for ChatGPT-4 and AutoGen Along with Top-Rated Human Solutions. 258–270. 2 indexed citations

Schmidt, Douglas C., Jesse Spencer-Smith, Quchen Fu, & Jules White. (2024). Towards a Catalog of Prompt Patterns to Enhance the Discipline of Prompt Engineering. ACM SIGAda Ada Letters. 43(2). 43–51. 15 indexed citations

Gilbert, Henry, Michael Sandborn, Douglas C. Schmidt, Jesse Spencer-Smith, & Jules White. (2023). Semantic Compression with Large Language Models. 1–8. 19 indexed citations

Polk, John D., et al.. (2010). Quantifying complexity and variability in phase portraits of gait. Clinical Biomechanics. 25(6). 552–556. 20 indexed citations

Rosengren, Karl S., Frederik Deconinck, John D. Polk, et al.. (2008). Differences in gait complexity and variability between children with and without Developmental Coordination Disorder. Gait & Posture. 29(2). 225–229. 53 indexed citations

Polk, John D., et al.. (2007). Quantifying variability in phase portraits: Application to gait ontogeny. Infant Behavior and Development. 31(2). 302–306. 12 indexed citations

Townsend, James T. & Jesse Spencer-Smith. (2004). Two Kinds of Global Perceptual Separability and Curvature. 101–121. 5 indexed citations

Spencer-Smith, Jesse, et al.. (2001). Making faces: Creating three-dimensional parameterized models of facial expression. Behavior Research Methods, Instruments, & Computers. 33(2). 115–123. 53 indexed citations

10.

Townsend, James T., et al.. (2000). Exploring the relations between categorization and decision making with regard to realistic face stimuli. Pragmatics & Cognition. 8(1). 83–105. 37 indexed citations

11.

Townsend, James T., Jesse Spencer-Smith, & Dominic W. Massaro. (1999). A Tome on Tests and Extensions of the FLMP. The American Journal of Psychology. 112(3). 449–449. 1 indexed citations

12.

Spencer-Smith, Jesse & Robert L. Goldstone. (1997). The Dynamics of Similarity. 4(4). 38–56. 2 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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