Peter J. Ifft

1.4k total citations
9 papers, 989 citations indexed

About

Peter J. Ifft is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Peter J. Ifft has authored 9 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Peter J. Ifft's work include EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (5 papers) and Neural dynamics and brain function (4 papers). Peter J. Ifft is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (5 papers) and Neural dynamics and brain function (4 papers). Peter J. Ifft collaborates with scholars based in United States and Switzerland. Peter J. Ifft's co-authors include Miguel A. L. Nicolelis, Mikhail Lebedev, Katie Zhuang, Solaiman Shokur, Joseph E. O’Doherty, Hannes Bleuler, Zheng Li, Timothy Hanson, David Schwarz and Arjun Ramakrishnan and has published in prestigious journals such as Nature, Nature Methods and Scientific Reports.

In The Last Decade

Peter J. Ifft

9 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter J. Ifft United States	8	804	695	260	241	47	9	989
Katie Zhuang United States	8	793 1.0×	704 1.0×	341 1.3×	226 0.9×	52 1.1×	15	1.1k
Alan D. Degenhart United States	13	832 1.0×	612 0.9×	218 0.8×	198 0.8×	51 1.1×	19	929
Brittany L Sorice United States	7	866 1.1×	657 0.9×	195 0.8×	250 1.0×	69 1.5×	7	964
Timothy Hanson United States	9	588 0.7×	601 0.9×	216 0.8×	214 0.9×	43 0.9×	10	792
Jörn Rickert Germany	10	793 1.0×	642 0.9×	190 0.7×	162 0.7×	30 0.6×	12	882
Sagi Perel United States	7	1.1k 1.4×	905 1.3×	347 1.3×	275 1.1×	23 0.5×	10	1.3k
Brock A. Wester United States	15	567 0.7×	489 0.7×	305 1.2×	140 0.6×	56 1.2×	46	902
Sean Biggs United Kingdom	5	1.0k 1.3×	784 1.1×	320 1.2×	234 1.0×	18 0.4×	11	1.2k
Jad Saab United States	12	726 0.9×	517 0.7×	139 0.5×	232 1.0×	58 1.2×	13	815
Sharlene N. Flesher United States	9	842 1.0×	763 1.1×	349 1.3×	232 1.0×	65 1.4×	10	1.1k

Countries citing papers authored by Peter J. Ifft

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Ifft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Ifft

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Ifft. A scholar is included among the top collaborators of Peter J. Ifft 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 Peter J. Ifft. Peter J. Ifft 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

Ramakrishnan, Arjun, Peter J. Ifft, Miguel Pais-Vieira, et al.. (2015). Computing Arm Movements with a Monkey Brainet. Scientific Reports. 5(1). 10767–10767. 36 indexed citations

Schwarz, David, Mikhail Lebedev, Timothy Hanson, et al.. (2014). Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nature Methods. 11(6). 670–676. 261 indexed citations

Ifft, Peter J., Solaiman Shokur, Zheng Li, Mikhail Lebedev, & Miguel A. L. Nicolelis. (2013). A Brain-Machine Interface Enables Bimanual Arm Movements in Monkeys. Science Translational Medicine. 5(210). 113 indexed citations

Ifft, Peter J., Mikhail Lebedev, & Miguel A. L. Nicolelis. (2012). Reprogramming movements: extraction of motor intentions from cortical ensemble activity when movement goals change. PubMed. 5. 16–16. 20 indexed citations

Lebedev, Mikhail, Timothy Hanson, Zheng Li, et al.. (2011). Future developments in brain-machine interface research. Clinics. 66. 25–32. 79 indexed citations

Ifft, Peter J., Mikhail Lebedev, & Miguel A. L. Nicolelis. (2011). Cortical Correlates of Fitts’ Law. Frontiers in Integrative Neuroscience. 5. 85–85. 18 indexed citations

Shokur, Solaiman, Peter J. Ifft, Mikhail Lebedev, Hannes Bleuler, & Miguel A. L. Nicolelis. (2011). Social interaction probed by reaching to face images: Rhesus monkeys consider a textured monkey avatar as a conspecific.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

O’Doherty, Joseph E., Mikhail Lebedev, Peter J. Ifft, et al.. (2011). Active tactile exploration using a brain–machine–brain interface. Nature. 479(7372). 228–231. 443 indexed citations

Mohammed, Javeed Shaikh, et al.. (2008). Rapid prototyping for neuroscience and neural engineering. Journal of Neuroscience Methods. 172(2). 263–269. 18 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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