Evan de Bie

816 citations
19 papers · 590 indexed · h-index 13
Topics
Prosthetics and Rehabilitation Robotics (5 papers)Lung Cancer Diagnosis and Treatment (4 papers)Muscle Physiology and Disorders (4 papers)
Partner nations
United StatesGeorgia

In The Last Decade

Evan de Bie

17 papers receiving 580 citations

Peers

Evan de Bie
Comparison fields: 5 of 81
  • Cognitive Neuroscience 205
  • Experimental and Cognitive Psychology 183
  • Molecular Biology 113
  • Biomedical Engineering 105
  • Endocrine and Autonomic Systems 82
Replace Alham Al‐Sharman with:
Alham Al‐Sharman Jordan
I. Poirot France
Valentina Gnoni Italy
Joy Perrier France
Richard D. Andreatta United States
Lamia Afifi Egypt
Kirsten L. Gruis United States
Sylvia Kotterba Germany
Elisa Testani Italy
Brooke‐Mai Whelan Australia
Evan de Bie relative to Alham Al‐Sharman Jordan Alham Al‐Sharman's profile →
Citations per field
00.5×8.1×
Alham Al‐Sharman · 1×
Citations per year

Countries citing papers authored by Evan de Bie

Since Specialization
Citations

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

Fields of papers citing papers by Evan de Bie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan de Bie. 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 Evan de Bie. The network helps show where Evan de Bie may publish in the future.

Co-authorship network of co-authors of Evan de Bie

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 12
5 9
6 14
7 19
8 32
9 26
10 1
11 34
12 30
13 31
14 48
15 82
16 113
17 50
18 53
19 35

About Evan de Bie

Evan de Bie is a scholar working on Rehabilitation, Endocrine and Autonomic Systems and Occupational Therapy, having authored 19 papers that have together received 590 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (183 citations), Endocrine and Autonomic Systems (82 citations) and Cognitive Neuroscience (205 citations). Evan de Bie has collaborated with scholars based in United States and Georgia. Frequent co-authors include Ian G. Campbell, Irwin Feinberg, Jay J. Han, Alina Nicorici, Richard T. Abresch, Kevin J. Grimm, Gregorij Kurillo, Nicole D. Armstrong, Růžena Bajcsy and Craig M. McDonald. Their work appears in journals such as Proceedings of the National Academy of Sciences, CHEST Journal and SLEEP.

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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