Jason D. Bakos

747 citations
64 papers · 484 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (15 papers)Interconnection Networks and Systems (11 papers)Genomics and Phylogenetic Studies (8 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Jason D. Bakos

56 papers receiving 460 citations

Peers

Jason D. Bakos
Comparison fields: 5 of 60
  • Hardware and Architecture 164
  • Computer Networks and Communications 152
  • Artificial Intelligence 132
  • Electrical and Electronic Engineering 130
  • Information Systems 92
Replace Dipanwita Roy Chowdhury with:
Dipanwita Roy Chowdhury India
Riad S. Wahby United States
Saeed Maleki United States
Renhai Chen China
Pavel Panchekha United States
Xiaoguang Han China
Mohammed Niamat United States
Jǐŕı Barnat Czechia
Jason D. Bakos relative to Dipanwita Roy Chowdhury India Dipanwita Roy Chowdhury's profile →
Citations per field
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Dipanwita Roy Chowdhury · 1×
Citations per year

Countries citing papers authored by Jason D. Bakos

Since Specialization
Citations

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

Fields of papers citing papers by Jason D. Bakos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason D. Bakos. 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 Jason D. Bakos. The network helps show where Jason D. Bakos may publish in the future.

Co-authorship network of co-authors of Jason D. Bakos

This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Bakos. A scholar is included among the top collaborators of Jason D. Bakos 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 Jason D. Bakos. Jason D. Bakos 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 1
2 0
3 2
4 2
5 0
6 3
7 0
8 5
9 6
10 1
11 14
12 8
13 5
14 45
15 31
16 38
17 7
18 1
19 7
20 5

About Jason D. Bakos

Jason D. Bakos is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 64 papers that have together received 484 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Interconnection Networks and Systems (11 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Hardware and Architecture (164 citations), Computer Networks and Communications (152 citations) and Computational Theory and Mathematics (87 citations). Jason D. Bakos has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Fan Zhang, Yan Zhang, Yan Zhang, Matthew Milton, Andrea Benigni, M. Riva, Antonello Monti, Bo Wang, Yang Gao and Austin Downey. Their work appears in journals such as BMC Bioinformatics, IEEE Transactions on Industry Applications and Mechanical Systems and Signal Processing.

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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