Daniel A. Craig

11 papers receiving 314 citations

Peers

Daniel A. Craig
Comparison fields: 5 of 71
  • Human-Computer Interaction 50
  • Hepatology 49
  • Cognitive Neuroscience 93
  • Pulmonary and Respiratory Medicine 125
  • Radiology, Nuclear Medicine and Imaging 54
Replace Jun-Ki Min with:
Jun-Ki Min South Korea
Christine Chen United States
Nikhil R. Thiruvengadam United States
Rabi R. Datta Germany
Antonio Cisternino Italy
Narae Lee South Korea
Vincenzo Di Nicola Italy
Qiyong Guo China
Daniel A. Craig relative to Jun-Ki Min South Korea Jun-Ki Min's profile →
Citations per field
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Jun-Ki Min · 1×
Citations per year

Countries citing papers authored by Daniel A. Craig

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

13 of 13 papers shown
#Work
1 201385
2 199160
3 200449
4 200734
5 200524
6 201223
7 201121
8 201513
9 198810
10 20057
11 20215
12
Bad Sports: Has Olympic Brand Protection Gone Too Far?
20130
13
Development of a Screening Tool to Facilitate Technology Transfer of an Innovative Technology to Treat Perchlorate-Contaminated Water
20120

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 331 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), Gaze Tracking and Assistive Technology (2 papers), EFL/ESL Teaching and Learning (2 papers), ECG Monitoring and Analysis (1 paper), Wastewater Treatment and Reuse (1 paper), Neuroscience and Neural Engineering (1 paper), Water Treatment and Disinfection (1 paper) and Medical Imaging and Pathology Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (50 citations), Hepatology (49 citations), Cognitive Neuroscience (93 citations), Pulmonary and Respiratory Medicine (125 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Daniel A. Craig has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Hung T. Nguyen, Yvonne Tran, Ashley Craig, Peter Boord, Kathleen R. Brandt, Tara L. Henrichsen, Emily C. Bendel, Patricia M. Grambsch, R H Wiesner and Robert L. MacCarty. Their work appears in journals such as American Journal of Roentgenology, Computer Assisted Language Learning, Higher Education Policy, Magnetic Resonance Imaging and Journal of Neural Engineering.

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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