Astro Teller

819 citations
14 papers · 313 · h-index 10

Impact in

Papers in

Astro Teller

14 papers receiving 279 citations

Peers

Astro Teller
Comparison fields: 5 of 81
  • Artificial Intelligence 171
  • Health Informatics 7
  • Computer Vision and Pattern Recognition 31
  • Computational Theory and Mathematics 22
  • Orthopedics and Sports Medicine 10
Replace Billy Chiu with:
Billy Chiu United Kingdom
Yue Qu China
Epaminondas Kapetanios United Kingdom
Robert Marinier United States
Mauro Gáspari Italy
Larry Birnbaum United States
Shreyasi Pathak Netherlands
S. Kannimuthu India
Juan‐Manuel Torres‐Moreno France
Kinjal Adhvaryu India
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Citations per field
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Citations per year

Countries citing papers authored by Astro Teller

Since Specialization
Citations

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

Fields of papers citing papers by Astro Teller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Astro Teller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Astro Teller Line = papers co-authored together Astro Teller links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
PADO: Learning Tree Structured Algorithms for Orchestration into an Object Recognition System
199561
2 202257
3 200443
4
Evolving programmers: the co-evolution of intelligent recombination operators
199638
5 200232
6
Accuracy and Reliability of the SenseWear™ Armband as an Energy Expenditure Assessment Device
200225
7
Health. Care. Anywhere. Today.
200513
8 200212
9
Algorithm evolution with internal reinforcement for signal understanding
199810
10 200410
11 20009
12
Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement
20001
13
Algorithm evolution for signal understanding
19961
14
Sequencing the human lifestyle.
20061

About Astro Teller

Astro Teller is a scholar working on Artificial Intelligence, Information Systems and Management, Computer Networks and Communications, General Health Professions and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 313 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (3 papers), Reinforcement Learning in Robotics (2 papers), Personal Information Management and User Behavior (2 papers), Physical Activity and Health (1 paper), Obesity, Physical Activity, Diet (1 paper), Neural Networks and Applications (1 paper) and Artificial Immune Systems Applications (1 paper). The work is most often cited by research in Artificial Intelligence (171 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (31 citations), Computational Theory and Mathematics (22 citations) and Orthopedics and Sports Medicine (10 citations). Astro Teller has collaborated with scholars based in United States and France. Frequent co-authors include Manuela Veloso, Manuela Veloso, John Stivoric, David Andre, Julie Shah, Ece Kamar, Shivaram Kalyanakrishnan, Ryan Calo, Greg Hager and David C. Parkes. Their work appears in journals such as Artificial Intelligence, Interacting with Computers, arXiv (Cornell University), PubMed and MIT Press eBooks.

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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