Sean P. Engelson

752 citations
8 papers · 172 indexed · h-index 6
Topics
Machine Learning and Algorithms (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)Robotics and Sensor-Based Localization (3 papers)
Journals
Machine LearningTouro Scholar (Touro College)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Partner nations
United StatesIsrael

In The Last Decade

Sean P. Engelson

8 papers receiving 141 citations

Peers

Sean P. Engelson
Comparison fields: 5 of 31
  • Artificial Intelligence 120
  • Computer Vision and Pattern Recognition 60
  • Aerospace Engineering 44
  • Computer Networks and Communications 29
  • Computational Theory and Mathematics 21
Replace J. Y. Shi with:
J. Y. Shi United States
Dimitris C. Dracopoulos United Kingdom
Rana Ali Amjad Germany
Gabriele Fici Italy
Xavier Cortés Spain
Jiayuan Mao China
Michael Walter Germany
Yumin Suh United States
Utsav Banerjee United States
Mohammad Babaeizadeh United States
Sean P. Engelson relative to J. Y. Shi United States J. Y. Shi's profile →
Citations per field
00.5×4.1×
J. Y. Shi · 1×
Citations per year

Countries citing papers authored by Sean P. Engelson

Since Specialization
Citations

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

Fields of papers citing papers by Sean P. Engelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean P. Engelson. 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 Sean P. Engelson. The network helps show where Sean P. Engelson may publish in the future.

Co-authorship network of co-authors of Sean P. Engelson

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2 61
3 34
4
Selective Sampling In Natural Language Learning
8
5 18
6
Passive map learning and visual place recognition
30
7 15
8 3

About Sean P. Engelson

Sean P. Engelson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 8 papers that have together received 172 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Artificial Intelligence (120 citations), Computer Vision and Pattern Recognition (60 citations) and Aerospace Engineering (44 citations). Sean P. Engelson has collaborated with scholars based in United States and Israel. Frequent co-authors include Ido Dagan, Drew McDermott, Thomas Dean, Oded Maron, Dana Angluin and Leslie Pack Kaelbling. Their work appears in journals such as Machine Learning, Touro Scholar (Touro College) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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