Daniel A. Craig
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
- Hepatology top 10%
- Liver Diseases and Immunity
Papers in
-
- EEG and Brain-Computer Interfaces 3
- Co-authors
- Hung T. Nguyen (2 shared papers)Ashley Craig (2 shared papers)Yvonne Tran (2 shared papers)Jay Mandrekar (1 shared paper)Kathleen R. Brandt (1 shared paper)Peter Boord (1 shared paper)Jung‐Tae Kim (1 shared paper)Patricia M. Grambsch (1 shared paper)
- Journals
- American Journal of Roentgenology (2 papers)Higher Education Policy (1 paper)TESOL Journal (1 paper)Journal of Neural Engineering (1 paper)Magnetic Resonance Imaging (1 paper)
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Daniel A. Craig
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 70
- Human-Computer Interaction 48
- Hepatology 47
- Cognitive Neuroscience 84
- Pulmonary and Respiratory Medicine 112
- Signal Processing 23
Countries citing papers authored by Daniel A. Craig
This map shows the geographic impact of Daniel A. Craig'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 A. Craig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Craig more than expected).
Fields of papers citing papers by Daniel A. Craig
This network shows the impact of papers produced by Daniel A. Craig. 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 A. Craig. The network helps show where Daniel A. Craig may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Craig, 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 | 2013 | 85 | |
| 2 | 1991 | 62 | |
| 3 | 2004 | 49 | |
| 4 | 2007 | 33 | |
| 5 | 2005 | 24 | |
| 6 | 2012 | 23 | |
| 7 | 2011 | 21 | |
| 8 | 2015 | 14 | |
| 9 | 1988 | 10 | |
| 10 | 2005 | 7 | |
| 11 | 2021 | 5 | |
| 12 | Bad Sports: Has Olympic Brand Protection Gone Too Far? | 2013 | 0 |
| 13 | Development of a Screening Tool to Facilitate Technology Transfer of an Innovative Technology to Treat Perchlorate-Contaminated Water | 2012 | 0 |
About Daniel A. Craig
Daniel A. Craig is a scholar working on Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Education, Language and Linguistics and Human-Computer Interaction, having authored 13 papers that have together received 333 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), EFL/ESL Teaching and Learning (2 papers), Gaze Tracking and Assistive Technology (2 papers), Online and Blended Learning (1 paper), Cognitive Functions and Memory (1 paper), Global Educational Policies and Reforms (1 paper), Radio Astronomy Observations and Technology (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Human-Computer Interaction (48 citations), Hepatology (47 citations), Cognitive Neuroscience (84 citations), Pulmonary and Respiratory Medicine (112 citations) and Signal Processing (23 citations). Daniel A. Craig has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Hung T. Nguyen, Ashley Craig, Yvonne Tran, Jay Mandrekar, Kathleen R. Brandt, Peter Boord, Jung‐Tae Kim, Patricia M. Grambsch, Tara L. Henrichsen and Robert L. MacCarty. Their work appears in journals such as American Journal of Roentgenology, Higher Education Policy, TESOL Journal, Journal of Neural Engineering and Magnetic Resonance Imaging.
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.