Daniel Larner
Impact in
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
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- CO2 Reduction Techniques and Catalysts
Papers in
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- Distributed and Parallel Computing Systems 3
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- Carbon Dioxide Capture Technologies 2
- Co-authors
- Karl A. Littau (3 shared papers)Matthew D. Eisaman (2 shared papers)Bhaskar Garg (1 shared paper)Peng Wang (1 shared paper)Viktor K. Prasanna (2 shared papers)Jim Reich (2 shared papers)Amol Bakshi (2 shared papers)Eric Saund (3 shared papers)
- Journals
- Energy & Environmental Science (2 papers)ACM Transactions on Graphics (1 paper)AI Magazine (1 paper)TechConnect Briefs (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Daniel Larner
13 papers receiving 496 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 46
- Renewable Energy, Sustainability and the Environment 121
- Mechanical Engineering 225
- Catalysis 40
- Process Chemistry and Technology 15
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 20 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 | 199 | |
| 2 | 2011 | 108 | |
| 3 | 2005 | 74 | |
| 4 | 2003 | 57 | |
| 5 | Energy-efficient electrochemical CO2 capture from the atmosphere | 2009 | 23 |
| 6 | 2004 | 11 | |
| 7 | The Abstract Task Graph: A Methodology for Architecture-Independent Programming of Networked Sensor Systems. | 2013 | 11 |
| 8 | A Recursive Expert Troubleshooting System Utilizing General and Specific Knowledge. | 1985 | 6 |
| 9 | 2009 | 5 | |
| 10 | 1990 | 5 | |
| 11 | 2013 | 4 | |
| 12 | 1990 | 4 | |
| 13 | 2004 | 4 |
About Daniel Larner
Daniel Larner is a scholar working on Computer Networks and Communications, Mechanical Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 13 papers that have together received 511 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Embedded Systems Design Techniques (2 papers), Carbon Dioxide Capture Technologies (2 papers), Membrane-based Ion Separation Techniques (2 papers), Video Analysis and Summarization (2 papers), Real-Time Systems Scheduling (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Renewable Energy, Sustainability and the Environment (121 citations), Mechanical Engineering (225 citations), Catalysis (40 citations) and Process Chemistry and Technology (15 citations). Daniel Larner has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Karl A. Littau, Matthew D. Eisaman, Bhaskar Garg, Peng Wang, Peng Wang, Viktor K. Prasanna, Jim Reich, Amol Bakshi, Eric Saund and James Mahoney. Their work appears in journals such as Energy & Environmental Science, ACM Transactions on Graphics, AI Magazine and TechConnect Briefs.
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.