E. Best

955 citations
15 papers · 640 · h-index 12

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Visual perception and processing mechanisms
  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies

Papers in

E. Best

15 papers receiving 621 citations

Peers

E. Best
Comparison fields: 5 of 84
  • Cognitive Neuroscience 441
  • Neurology 77
  • Radiology, Nuclear Medicine and Imaging 157
  • Signal Processing 68
  • Cellular and Molecular Neuroscience 67
Replace Kazutomo Yunokuchi with:
Kazutomo Yunokuchi Japan
Guofa Shou United States
Kenichi Kashikura Japan
Keiji Iramina Japan
Sylvain Takerkart France
Sergei Turovets United States
P.H. Schimpf United States
Kim K. Tan United States
H. Weinberg Canada
João Jorge Switzerland
E. Best relative to Kazutomo Yunokuchi Japan Kazutomo Yunokuchi's profile →
Citations per field
00.5×1.5×1.8×
Kazutomo Yunokuchi · 1×
Citations per year

Countries citing papers authored by E. Best

Since Specialization
Citations

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

Fields of papers citing papers by E. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Best, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Best Line = papers co-authored together E. Best links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2002195
2 199890
3 199676
4 199558
5 200241
6 200635
7 200035
8 199928
9 201122
10 199415
11 200312
12 200312
13 200410
14 19966
15
HTPIPE: A steady-state heat pipe analysis program: A user's manual
19885

About E. Best

E. Best is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 15 papers that have together received 640 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (4 papers), Advanced MRI Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Electrical and Bioimpedance Tomography (3 papers), Blind Source Separation Techniques (2 papers), Retinal Development and Disorders (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (441 citations), Neurology (77 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Signal Processing (68 citations) and Cellular and Molecular Neuroscience (67 citations). E. Best has collaborated with scholars based in United States and Croatia. Frequent co-authors include D.M. Ranken, Cheryl J. Aine, L. Heller, E.R. Flynn, Selma Supek, Mingxiong Huang, Massoud Akhtari, A. Matlachov, Adam N. Mamelak and Jerry J. Shih. Their work appears in journals such as Brain Topography, IEEE Transactions on Biomedical Engineering, Cerebral Cortex, Annals of Biomedical Engineering and Journal of Biomechanical Engineering.

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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