Bryan Lad Howell

1.3k citations
32 papers · 904 indexed · h-index 20
Topics
Neurological disorders and treatments (22 papers)Neuroscience and Neural Engineering (17 papers)Functional Brain Connectivity Studies (9 papers)

In The Last Decade

Bryan Lad Howell

31 papers receiving 901 citations

Peers

Bryan Lad Howell
Comparison fields: 5 of 69
  • Neurology 542
  • Cellular and Molecular Neuroscience 488
  • Cognitive Neuroscience 321
  • Neurology 188
  • Biomedical Engineering 143
Replace Aaron Loh with:
Aaron Loh Canada
Gregory F. Molnar United States
J. Luis Luján United States
Mattia Arlotti Italy
Maged Elwassif United States
Merrill J. Birdno United States
Niranjan Khadka United States
Gábor Kozák Hungary
Kabilar Gunalan United States
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Bryan Lad Howell relative to Aaron Loh Canada Aaron Loh's profile →
Citations per field
00.5×10×20×33.3×
Aaron Loh · 1×
Citations per year

Countries citing papers authored by Bryan Lad Howell

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Lad Howell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Lad Howell. 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 Bryan Lad Howell. The network helps show where Bryan Lad Howell may publish in the future.

Co-authorship network of co-authors of Bryan Lad Howell

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Lad Howell. A scholar is included among the top collaborators of Bryan Lad Howell 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 Bryan Lad Howell. Bryan Lad Howell 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 0
2 2
3 1
4 9
5 22
6 30
7 4
8 35
9 34
10 55
11 41
12 34
13 74
14 79
15 56
16 57
17 32
18 28
19 29
20 48

About Bryan Lad Howell

Bryan Lad Howell is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 32 papers that have together received 904 indexed citations. Recurring topics across this work include Neurological disorders and treatments (22 papers), Neuroscience and Neural Engineering (17 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Neurology (542 citations), Cellular and Molecular Neuroscience (488 citations) and Neurology (188 citations). Bryan Lad Howell has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Cameron C. McIntyre, Warren M. Grill, Kabilar Gunalan, Shivanand P. Lad, Scott F. Lempka, Helen S. Mayberg, Ki Sueng Choi, Andreja Jović, Shuichi Takayama and Justin Rajendra. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

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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