Colleen E. McCarthy

720 citations
10 papers · 575 · h-index 6

Impact in

Papers in

Colleen E. McCarthy

9 papers receiving 539 citations

Peers

Colleen E. McCarthy
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 267
  • Demography 126
  • Human-Computer Interaction 56
  • Occupational Therapy 30
  • Social Psychology 155
Replace Sailesh Ramakrishnan with:
Sailesh Ramakrishnan United States
Liana M. Kiff United States
Manuele Bonaccorsi Italy
Iván Pau Spain
Richard Picking United Kingdom
Thomas Kleinberger Germany
Ricardo Costa Portugal
Sachio Saiki Japan
Mark Rice Singapore
David Fischinger Austria
Colleen E. McCarthy relative to Sailesh Ramakrishnan United States Sailesh Ramakrishnan's profile →
Citations per field
00.5×1.5×
Sailesh Ramakrishnan · 1×
Citations per year

Countries citing papers authored by Colleen E. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Colleen E. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colleen E. McCarthy. 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 Colleen E. McCarthy. The network helps show where Colleen E. McCarthy may publish in the future.

Co-authors

The 25 scholars most cited alongside Colleen E. McCarthy, 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 Colleen E. McCarthy Line = papers co-authored together Colleen E. McCarthy links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003287
2
Pearl: A Mobile Robotic Assistant for the Elderly
2002205
3 201542
4
A plan-based personalized cognitive orthotic
200227
5
Lifelong Learning or Lifelong Schooling? A Tentative View of the Ideas of Ivan Illich with a Quotational Bibliography.
19716
6 20005
7 20231
8 20121
9
A plan-based cognitive orthotic for reminding
20021
10 20220

About Colleen E. McCarthy

Colleen E. McCarthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery, Social Psychology and Small Animals, having authored 10 papers that have together received 575 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Context-Aware Activity Recognition Systems (2 papers), Logic, Reasoning, and Knowledge (2 papers), Breast Implant and Reconstruction (2 papers), Cognitive Science and Mapping (2 papers), Mast cells and histamine (1 paper), Robotic Path Planning Algorithms (1 paper) and Eurasian Exchange Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Demography (126 citations), Human-Computer Interaction (56 citations), Occupational Therapy (30 citations) and Social Psychology (155 citations). Colleen E. McCarthy has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Martha E. Pollack, Dirk Colbry, Bart Peintner, Sailesh Ramakrishnan, Ioannis Tsamardinos, Laura Brown, Sebastian Thrun, Michael Montemerlo, Laura E. Brown and Joëlle Pineau. Their work appears in journals such as Plastic & Reconstructive Surgery, Autonomous Robots, Robotics and Autonomous Systems, PLoS Genetics and Plastic & Reconstructive Surgery Global Open.

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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