Daniel Larner
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
- Usability and User Interface Design
- Mechanical Engineering top 10%
- Carbon Dioxide Capture Technologies
Papers in
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- Interactive and Immersive Displays 3
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- Handwritten Text Recognition Techniques 4
- Co-authors
- Karl A. Littau (3 shared papers)Matthew D. Eisaman (2 shared papers)Peng Wang (1 shared paper)Bhaskar Garg (1 shared paper)Eric Saund (4 shared papers)David J. Fleet (4 shared papers)Amol B. Bakshi (1 shared paper)Jim Reich (1 shared paper)
- Journals
- Energy & Environmental Science (2 papers)AI Magazine (1 paper)ACM Transactions on Graphics (1 paper)Lecture notes in computer science (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Larner
13 papers receiving 550 citations
Peers
Comparison fields: 5 of 42
- Human-Computer Interaction 65
- Mechanical Engineering 218
- Energy Engineering and Power Technology 10
- Computer Networks and Communications 78
- Process Chemistry and Technology 6
Countries citing papers authored by Daniel Larner
This map shows the geographic impact of Daniel Larner'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 Daniel Larner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Larner more than expected).
Fields of papers citing papers by Daniel Larner
This network shows the impact of papers produced by Daniel Larner. 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 Daniel Larner. The network helps show where Daniel Larner may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel Larner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 219 | |
| 2 | 2011 | 117 | |
| 3 | 2005 | 89 | |
| 4 | 2003 | 65 | |
| 5 | Energy-efficient electrochemical CO2 capture from the atmosphere | 2009 | 26 |
| 6 | 2004 | 12 | |
| 7 | 2002 | 10 | |
| 8 | A Recursive Expert Troubleshooting System Utilizing General and Specific Knowledge. | 1985 | 6 |
| 9 | 1990 | 6 | |
| 10 | 2009 | 6 | |
| 11 | 2004 | 5 | |
| 12 | 2013 | 5 | |
| 13 | Factories, objects, and blackboards | 1990 | 4 |
About Daniel Larner
Daniel Larner is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Mechanical Engineering, having authored 13 papers that have together received 570 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Interactive and Immersive Displays (3 papers), AI-based Problem Solving and Planning (3 papers), Membrane-based Ion Separation Techniques (2 papers), Carbon Dioxide Capture Technologies (2 papers), Advanced Software Engineering Methodologies (2 papers), Flexible and Reconfigurable Manufacturing Systems (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (65 citations), Mechanical Engineering (218 citations), Energy Engineering and Power Technology (10 citations), Computer Networks and Communications (78 citations) and Process Chemistry and Technology (6 citations). Daniel Larner has collaborated with scholars based in United States. Frequent co-authors include Karl A. Littau, Matthew D. Eisaman, Peng Wang, Bhaskar Garg, Peng Wang, Eric Saund, David J. Fleet, Amol B. Bakshi, Jim Reich and Viktor K. Prasanna. Their work appears in journals such as Energy & Environmental Science, AI Magazine, ACM Transactions on Graphics, Lecture notes in computer science and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.