Keiland W Cooper

1.7k total citations
9 papers, 315 citations indexed

About

Keiland W Cooper is a scholar working on Sensory Systems, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Keiland W Cooper has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sensory Systems, 3 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Keiland W Cooper's work include Olfactory and Sensory Function Studies (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Neural dynamics and brain function (2 papers). Keiland W Cooper is often cited by papers focused on Olfactory and Sensory Function Studies (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Neural dynamics and brain function (2 papers). Keiland W Cooper collaborates with scholars based in United States, Germany and France. Keiland W Cooper's co-authors include Robert Pellegrino, Paule V. Joseph, Valentina Parma, Surabhi Bhutani, Antonella Di Pizio, Linda A. Barlow, Mark W. Albers, Sandeep Robert Datta, Tatsuya Tsukahara and Eric D. Larson and has published in prestigious journals such as Nature Communications, Neuron and Journal of the American Statistical Association.

In The Last Decade

Keiland W Cooper

6 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keiland W Cooper United States	4	185	123	112	82	54	9	315
Michael C. Farruggia United States	8	195 1.1×	118 1.0×	106 0.9×	95 1.2×	48 0.9×	12	403
Álvaro Beltrán‐Corbellini Spain	11	160 0.9×	111 0.9×	228 2.0×	43 0.5×	133 2.5×	22	492
Leon Fodoulian Switzerland	5	107 0.6×	45 0.4×	113 1.0×	32 0.4×	74 1.4×	7	298
Paloma Parra‐Díaz Spain	6	158 0.9×	111 0.9×	190 1.7×	42 0.5×	113 2.1×	8	351
Özlem Saatçi Türkiye	8	212 1.1×	123 1.0×	163 1.5×	44 0.5×	43 0.8×	14	325
Bertrand Bryche France	5	202 1.1×	106 0.9×	165 1.5×	55 0.7×	104 1.9×	6	360
Sophia C. Poletti Germany	11	258 1.4×	146 1.2×	41 0.4×	84 1.0×	10 0.2×	19	310
Elbrich M. Postma Netherlands	10	293 1.6×	203 1.7×	44 0.4×	152 1.9×	9 0.2×	23	387
Duncan Boak United Kingdom	6	432 2.3×	262 2.1×	72 0.6×	164 2.0×	9 0.2×	16	495
Christopher W. Seery United States	4	227 1.2×	125 1.0×	13 0.1×	166 2.0×	26 0.5×	10	343

Countries citing papers authored by Keiland W Cooper

Since Specialization

Citations

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

Fields of papers citing papers by Keiland W Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keiland W Cooper. 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 Keiland W Cooper. The network helps show where Keiland W Cooper may publish in the future.

Co-authorship network of co-authors of Keiland W Cooper

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

All Works

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9 of 9 papers shown

Yuan, Yubai, Babak Shahbaba, Norbert J. Fortin, et al.. (2025). Optimal Transport based Cross-Domain Integration for Heterogeneous Data. Journal of the American Statistical Association. 120(551). 1449–1462.

Cooper, Keiland W, et al.. (2025). Multi-step inference can be improved across the lifespan with individualized memory interventions.

Tognetti, Arnaud, Michael C. Farruggia, Carla Mucignat‐Caretta, et al.. (2024). Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports. JMIR Public Health and Surveillance. 10. e47064–e47064.

Qu, Annie, et al.. (2024). A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. Journal of the American Statistical Association. 120(550). 1225–1238. 1 indexed citations

Shahbaba, Babak, et al.. (2022). Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. Nature Communications. 13(1). 787–787. 26 indexed citations

Pellegrino, Robert, Keiland W Cooper, Antonella Di Pizio, et al.. (2020). Coronaviruses and the Chemical Senses: Past, Present, and Future. Chemical Senses. 45(6). 415–422. 59 indexed citations

Cooper, Keiland W, et al.. (2020). Medial entorhinal cortex activates in a traveling wave in the rat. eLife. 9. 13 indexed citations

Cooper, Keiland W, David H. Brann, Michael C. Farruggia, et al.. (2020). COVID-19 and the Chemical Senses: Supporting Players Take Center Stage. Neuron. 107(2). 219–233. 215 indexed citations

Cooper, Keiland W. (2018). Can the Machine Understand: An Evidence Based Approach to the Chinese Room. Indiana Magazine of History (Indiana University). 4(1). 82–85. 1 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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