Bruce A. Whitehead

842 citations
16 papers · 604 indexed · h-index 9
Topics
Fault Detection and Control Systems (5 papers)Neural Networks and Applications (4 papers)Metaheuristic Optimization Algorithms Research (3 papers)
Partner nations
United States

In The Last Decade

Bruce A. Whitehead

16 papers receiving 541 citations

Peers

Bruce A. Whitehead
Comparison fields: 5 of 90
  • Artificial Intelligence 338
  • Cognitive Neuroscience 178
  • Control and Systems Engineering 68
  • Computer Vision and Pattern Recognition 66
  • Social Psychology 51
Replace Gary M. Kuhn with:
Gary M. Kuhn United States
Malte Kuß Germany
Jan Morén Japan
Haitao Gan China
Wenbo Zhao China
C. Gielen Netherlands
Matthew Luciw Switzerland
Roman Ilin United States
Chen‐Sen Ouyang Taiwan
Marcello Frixione Italy
Bruce A. Whitehead relative to Gary M. Kuhn United States Gary M. Kuhn's profile →
Citations per field
00.5×3.2×
Gary M. Kuhn · 1×
Citations per year

Countries citing papers authored by Bruce A. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Bruce A. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce A. Whitehead. 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 Bruce A. Whitehead. The network helps show where Bruce A. Whitehead may publish in the future.

Co-authorship network of co-authors of Bruce A. Whitehead

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 1
3 164
4 35
5 5
6 79
7 3
8 2
9 8
10 1
11 9
12 10
13 188
14 1
15 23
16 70

About Bruce A. Whitehead

Bruce A. Whitehead is a scholar working on Discrete Mathematics and Combinatorics, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 16 papers that have together received 604 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (5 papers), Neural Networks and Applications (4 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (338 citations), Cognitive Neuroscience (178 citations) and Signal Processing (36 citations). Bruce A. Whitehead has collaborated with scholars based in United States. Frequent co-authors include Gary W. Strong, Moonis Ali, L.M. Smith and Lloyd M. Davis. Their work appears in journals such as Behavioral and Brain Sciences, Computers & Industrial Engineering and Mathematical Biosciences.

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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