Chelsea Sabo

458 citations
25 papers · 292 indexed · h-index 8
Topics
Robotic Path Planning Algorithms (10 papers)Neurobiology and Insect Physiology Research (7 papers)Vehicle Routing Optimization Methods (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEPLoS Computational Biology

In The Last Decade

Chelsea Sabo

25 papers receiving 277 citations

Peers

Chelsea Sabo
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 89
  • Aerospace Engineering 85
  • Cellular and Molecular Neuroscience 67
  • Computer Networks and Communications 61
  • Mechanical Engineering 44
Replace Shogo Arai with:
Shogo Arai Japan
Richard J. D. Moore Australia
Jeremy Maitin-Shepard United States
Daisuke Kurabayashi Japan
Songpengcheng Xia China
Iñaki Rañó United Kingdom
Andrew Vardy Canada
Mofeed Turky Rashid Iraq
Michael D. Howard United States
Andreagiovanni Reina Belgium
Chelsea Sabo relative to Shogo Arai Japan Shogo Arai's profile →
Citations per field
00.5×5.2×
Shogo Arai · 1×
Citations per year

Countries citing papers authored by Chelsea Sabo

Since Specialization
Citations

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

Fields of papers citing papers by Chelsea Sabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chelsea Sabo

This figure shows the co-authorship network connecting the top 25 collaborators of Chelsea Sabo. A scholar is included among the top collaborators of Chelsea Sabo 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 Chelsea Sabo. Chelsea Sabo 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 37
2 40
3 3
4 2
5 3
6 18
7 5
8 1
9
Shaking Up Pre-Calculus: Incorporating Engineering into K-12 Curricula
4
10 5
11 10
12 26
13 4
14
UAV Two-Dimensional Path Planning In Real-Time Using Fuzzy Logic
1
15 4
16 5
17 5
18 5
19 5
20 6

About Chelsea Sabo

Chelsea Sabo is a scholar working on Architecture, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 292 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Neurobiology and Insect Physiology Research (7 papers) and Vehicle Routing Optimization Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Cellular and Molecular Neuroscience (67 citations) and Aerospace Engineering (85 citations). Chelsea Sabo has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kelly Cohen, Alex Cope, James A. R. Marshall, Eleni Vasilaki, Andrew B. Barron, Andreagiovanni Reina, Derek Kingston, Kevin Gurney, Andrea C. Burrows and Shaaban Abdallah. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Computational Biology.

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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