Mitchell R. Riley

670 total citations
12 papers, 391 citations indexed

About

Mitchell R. Riley is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Mitchell R. Riley has authored 12 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Artificial Intelligence. Recurrent topics in Mitchell R. Riley's work include Neural dynamics and brain function (6 papers), Neural and Behavioral Psychology Studies (6 papers) and Memory and Neural Mechanisms (3 papers). Mitchell R. Riley is often cited by papers focused on Neural dynamics and brain function (6 papers), Neural and Behavioral Psychology Studies (6 papers) and Memory and Neural Mechanisms (3 papers). Mitchell R. Riley collaborates with scholars based in United States, China and Germany. Mitchell R. Riley's co-authors include Christos Constantinidis, Xue-Lian Qi, Hua Tang, Xin Zhou, Andrew J. Sweatt, Robert E. Hampson, Vasilis Z. Marmarelis, Rosa H. M. Chan, Dong Song and Theodore W. Berger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cerebral Cortex.

In The Last Decade

Mitchell R. Riley

11 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell R. Riley United States	8	316	102	31	31	26	12	391
Matthias Nau Germany	10	435 1.4×	87 0.9×	48 1.5×	31 1.0×	17 0.7×	17	538
Iman Mohammad-Rezazadeh United States	9	313 1.0×	52 0.5×	14 0.5×	29 0.9×	17 0.7×	11	382
Arian Ashourvan United States	12	304 1.0×	82 0.8×	39 1.3×	34 1.1×	21 0.8×	18	428
Thomas Z. Lauritzen United States	8	273 0.9×	94 0.9×	15 0.5×	16 0.5×	23 0.9×	11	313
Сергей Борисов Finland	11	436 1.4×	68 0.7×	21 0.7×	36 1.2×	12 0.5×	15	492
Guilhem Ibos France	9	492 1.6×	66 0.6×	17 0.5×	34 1.1×	17 0.7×	11	545
Yaser Merrikhi Iran	8	299 0.9×	59 0.6×	20 0.6×	33 1.1×	35 1.3×	22	359
Haroon Anwar United States	8	281 0.9×	140 1.4×	18 0.6×	34 1.1×	42 1.6×	14	379

Countries citing papers authored by Mitchell R. Riley

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell R. Riley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell R. Riley. 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 Mitchell R. Riley. The network helps show where Mitchell R. Riley may publish in the future.

Co-authorship network of co-authors of Mitchell R. Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell R. Riley. A scholar is included among the top collaborators of Mitchell R. Riley 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 Mitchell R. Riley. Mitchell R. Riley 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

Riley, Mitchell R., Wolf Zinke, Michael P. Weisend, et al.. (2023). Activation of primate frontal eye fields with a CMUT phased array system. Journal of Neuroscience Methods. 402. 110009–110009. 1 indexed citations

Tang, Hua, et al.. (2022). Prefrontal cortical plasticity during learning of cognitive tasks. Nature Communications. 13(1). 90–90. 27 indexed citations

Riley, Mitchell R., et al.. (2021). Identification of Images of COVID-19 from Chest X-rays Using Deep Learning: Comparing COGNEX VisionPro Deep Learning 1.0™ Software with Open Source Convolutional Neural Networks. SN Computer Science. 2(3). 130–130. 23 indexed citations

Sarkar, Abhijit, et al.. (2020). Detection of COVID-19 from Chest Computed Tomography (CT) images using Deep learning: Comparing COGNEX VisionPro Deep Learning 1.0 Software with Open Source Convolutional Neural Networks. arXiv (Cornell University). 1 indexed citations

Tang, Hua, Xue-Lian Qi, Mitchell R. Riley, & Christos Constantinidis. (2019). Working memory capacity is enhanced by distributed prefrontal activation and invariant temporal dynamics. Proceedings of the National Academy of Sciences. 116(14). 7095–7100. 33 indexed citations

Riley, Mitchell R., Xue-Lian Qi, Xin Zhou, & Christos Constantinidis. (2018). Anterior-posterior gradient of plasticity in primate prefrontal cortex. Nature Communications. 9(1). 3790–3790. 32 indexed citations

Tang, Hua, Mitchell R. Riley, & Christos Constantinidis. (2017). Lateralization of Executive Function: Working Memory Advantage for Same Hemifield Stimuli in the Monkey. Frontiers in Neuroscience. 11. 532–532. 5 indexed citations

Riley, Mitchell R., Xue-Lian Qi, & Christos Constantinidis. (2016). Functional specialization of areas along the anterior–posterior axis of the primate prefrontal cortex. Cerebral Cortex. 27(7). 3683–3697. 49 indexed citations

Riley, Mitchell R. & Christos Constantinidis. (2016). Role of Prefrontal Persistent Activity in Working Memory. Frontiers in Systems Neuroscience. 9. 181–181. 153 indexed citations

10.

Hampson, Robert E., Dong Song, Rosa H. M. Chan, et al.. (2012). Closing the Loop for Memory Prosthesis: Detecting the Role of Hippocampal Neural Ensembles Using Nonlinear Models. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(4). 510–525. 20 indexed citations

11.

Hampson, Robert E., Dong Song, Rosa H. M. Chan, et al.. (2012). A Nonlinear Model for Hippocampal Cognitive Prosthesis: Memory Facilitation by Hippocampal Ensemble Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(2). 184–197. 46 indexed citations

12.

Gore, Julie & Mitchell R. Riley. (2000). Methodology in question: experiencing cognitive task analysis. View. 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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