Robert K. Erickson

1.5k citations
28 papers · 1.1k indexed · h-index 18
Topics
Neuroscience and Neural Engineering (7 papers)Advanced Memory and Neural Computing (5 papers)Neural dynamics and brain function (4 papers)
Partner nations
United StatesGermany

In The Last Decade

Robert K. Erickson

27 papers receiving 1.1k citations

Peers

Robert K. Erickson
Comparison fields: 5 of 88
  • Cognitive Neuroscience 356
  • Cellular and Molecular Neuroscience 318
  • Genetics 208
  • Surgery 187
  • Epidemiology 183
Replace Makoto Oishi with:
Makoto Oishi Japan
Shabbar F. Danish United States
Charles Mellerio France
Niklaus Krayenbühl Switzerland
G. Fürst Germany
Christopher Magnano United States
W. J. McKay Australia
Danny Tat Ming Chan Hong Kong
Joshua E. Medow United States
Shinya Manaka Japan
Robert K. Erickson relative to Makoto Oishi Japan Makoto Oishi's profile →
Citations per field
00.5×1.5×
Makoto Oishi · 1×
Citations per year

Countries citing papers authored by Robert K. Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Robert K. Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert K. Erickson. 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 Robert K. Erickson. The network helps show where Robert K. Erickson may publish in the future.

Co-authorship network of co-authors of Robert K. Erickson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 33
3 38
4 32
5 118
6
Experimental Results of Intracortical Electrode Stimulation in Macaque V1
6
7 24
8 82
9 111
10 35
11 72
12 52
13 181
14 62
15 1
16 63
17 82
18 27
19 21
20 2

About Robert K. Erickson

Robert K. Erickson is a scholar working on Cognitive Neuroscience, Internal Medicine and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Internal Medicine (134 citations), Genetics (208 citations) and Cognitive Neuroscience (356 citations). Robert K. Erickson has collaborated with scholars based in United States and Germany. Frequent co-authors include Vernon L. Towle, George J. Dohrmann, Frederick D. Brown, Javad Hekmatpanah, Bryce Weir, R. Loch Macdonald, Philip R. Troyk, Douglas B. McCreery, Stuart F. Cogan and Conrad Kufta. Their work appears in journals such as NeuroImage, Journal of Neurophysiology and Spine.

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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