Pedram Afshar

624 total citations
13 papers, 459 citations indexed

About

Pedram Afshar is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Pedram Afshar has authored 13 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 8 papers in Cognitive Neuroscience. Recurrent topics in Pedram Afshar's work include Neuroscience and Neural Engineering (11 papers), Neurological disorders and treatments (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Pedram Afshar is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Neurological disorders and treatments (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Pedram Afshar collaborates with scholars based in United States, Denmark and Ireland. Pedram Afshar's co-authors include Timothy Denison, Scott Stanslaski, Paul H. Stypulkowski, Peng Cong, Al-Thaddeus Avestruz, Yoky Matsuoka, Michael Oh, Maciej T. Lazarewicz, David Carlson and Ankit N. Khambhati and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Pedram Afshar

12 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedram Afshar United States 7 353 274 225 73 49 13 459
Eddy Warman Indonesia 8 386 1.1× 97 0.4× 289 1.3× 137 1.9× 68 1.4× 31 613
David T. Brocker United States 9 413 1.2× 370 1.4× 163 0.7× 48 0.7× 15 0.3× 10 501
Patricia Linortner Austria 9 231 0.7× 85 0.3× 341 1.5× 74 1.0× 62 1.3× 12 566
Xuefeng Wei United States 9 374 1.1× 217 0.8× 216 1.0× 78 1.1× 73 1.5× 21 487
Kabilar Gunalan United States 11 332 0.9× 433 1.6× 174 0.8× 28 0.4× 20 0.4× 12 544
Merrill J. Birdno United States 8 476 1.3× 443 1.6× 166 0.7× 76 1.0× 27 0.6× 8 603
David J. Guggenmos United States 13 432 1.2× 120 0.4× 400 1.8× 165 2.3× 166 3.4× 36 686
Maya Slovik Israel 3 486 1.4× 419 1.5× 259 1.2× 31 0.4× 29 0.6× 5 585
Robert Wilt United States 7 212 0.6× 273 1.0× 139 0.6× 38 0.5× 16 0.3× 8 372
Scott Stanslaski United States 16 943 2.7× 757 2.8× 581 2.6× 161 2.2× 168 3.4× 36 1.2k

Countries citing papers authored by Pedram Afshar

Since Specialization
Citations

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

Fields of papers citing papers by Pedram Afshar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedram Afshar

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

All Works

13 of 13 papers shown
1.
Ryapolova-Webb, Elena, Pedram Afshar, Scott Stanslaski, et al.. (2014). Chronic cortical and electromyographic recordings from a fully implantable device: preclinical experience in a nonhuman primate. Journal of Neural Engineering. 11(1). 16009–16009. 47 indexed citations
3.
Afshar, Pedram, Ankit N. Khambhati, Scott Stanslaski, et al.. (2013). A translational platform for prototyping closed-loop neuromodulation systems. Frontiers in Neural Circuits. 6. 117–117. 105 indexed citations
4.
Desai, Sharanya Arcot, et al.. (2013). A rapid algorithm prototyping tool for bi-directional neural interfaces. 6. 633–636. 1 indexed citations
5.
Afshar, Pedram, et al.. (2013). A flexible algorithm framework for closed-loop neuromodulation research systems. PubMed. 2013. 6146–6150. 6 indexed citations
6.
Stanslaski, Scott, Pedram Afshar, Peng Cong, et al.. (2012). Design and Validation of a Fully Implantable, Chronic, Closed-Loop Neuromodulation Device With Concurrent Sensing and Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(4). 410–421. 230 indexed citations
7.
Stanslaski, Scott, et al.. (2011). Emerging technology for advancing the treatment of epilepsy using a dynamic control framework. PubMed. 2011. 753–756. 3 indexed citations
8.
Stanslaski, Scott, Paul H. Stypulkowski, Justin G. Kemp, et al.. (2011). Preliminary validation of an implantable bi-directional neural interface for chronic, in vivo investigation of brain networks. 178–183. 5 indexed citations
9.
Rijkhoff, Nico, et al.. (2011). Functional electrical stimulation as a neuroprosthetic methodology for enabling closed-loop urinary incontinence treatment. VBN Forskningsportal (Aalborg Universitet). 650–654. 9 indexed citations
10.
Afshar, Pedram, et al.. (2011). Advancing neuromodulation using a dynamic control framework. PubMed. 2011. 671–674. 1 indexed citations
12.
Matsuoka, Yoky, Pedram Afshar, & Michael Oh. (2006). On the design of robotic hands for brain–machine interface. Neurosurgical FOCUS. 20(5). 1–9. 40 indexed citations
13.
Romero, Richard, Yuguo Yu, Pedram Afshar, & Tai Sing Lee. (2003). Adaptation of the temporal receptive fields of macaque V1 neurons. Neurocomputing. 52-54. 135–140. 4 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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