Peter J. Ifft

1.4k citations
9 papers · 989 indexed · h-index 8
Topics
EEG and Brain-Computer Interfaces (7 papers)Neuroscience and Neural Engineering (5 papers)Neural dynamics and brain function (4 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

Peter J. Ifft

9 papers receiving 957 citations

Peers

Peter J. Ifft
Comparison fields: 5 of 67
  • Cognitive Neuroscience 804
  • Cellular and Molecular Neuroscience 695
  • Biomedical Engineering 260
  • Electrical and Electronic Engineering 241
  • Neurology 47
Replace Katie Zhuang with:
Katie Zhuang United States
Alan D. Degenhart United States
Brittany L Sorice United States
Jörn Rickert Germany
Timothy Hanson United States
Sean Biggs United Kingdom
Sagi Perel United States
Brock A. Wester United States
Jad Saab United States
Anish A. Sarma United States
Peter J. Ifft relative to Katie Zhuang United States Katie Zhuang's profile →
Citations per field
00.5×1.5×
Katie Zhuang · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1 36
2 261
3 113
4 20
5 79
6 18
7
Social interaction probed by reaching to face images: Rhesus monkeys consider a textured monkey avatar as a conspecific.
1
8 443
9 18

About Peter J. Ifft

Peter J. Ifft is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Automotive Engineering, having authored 9 papers that have together received 989 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cognitive Neuroscience (804 citations), Cellular and Molecular Neuroscience (695 citations) and Human-Computer Interaction (44 citations). Peter J. Ifft has collaborated with scholars based in United States and Switzerland. Frequent 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. Their work appears in journals such as Nature, Nature Methods and Scientific Reports.

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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