Daniel W. Lewis
- Artificial Intelligence
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Trevor MartinJ. DiLulloP. J. CamporeseH.H. SmithR. M. AverillSteve RunyonMark BowenJoachim Keinert
- Topics
- Parallel Computing and Optimization Techniques (4 papers)Embedded Systems Design Techniques (3 papers)Experimental Learning in Engineering (2 papers)
- Journals
- IBM Journal of Research and DevelopmentIEEE Transactions on EducationScholar Commons (Santa Clara University)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel W. Lewis
10 papers receiving 394 citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 85
- Information Systems 63
- Electrical and Electronic Engineering 60
- Computer Networks and Communications 56
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Daniel W. Lewis
This map shows the geographic impact of Daniel W. Lewis'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 W. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Lewis more than expected).
Fields of papers citing papers by Daniel W. Lewis
This network shows the impact of papers produced by Daniel W. Lewis. 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 W. Lewis. The network helps show where Daniel W. Lewis may publish in the future.
Co-authorship network of co-authors of Daniel W. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Lewis. A scholar is included among the top collaborators of Daniel W. Lewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel W. Lewis. Daniel W. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Communications in Computer and Information Sciencebreakdown → | 352 |
| 5 | Fundamentals of Embedded Software with the ARM Cortex-M3 | 2 |
| 6 | 19 | |
| 7 | 0 | |
| 8 | Fundamentals of Embedded Software: Where C and Assembly Meet | 15 |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 13 |
About Daniel W. Lewis
Daniel W. Lewis is a scholar working on Hardware and Architecture, Media Technology and Statistics and Probability, having authored 11 papers that have together received 410 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Embedded Systems Design Techniques (3 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Health Informatics (7 citations), Hardware and Architecture (32 citations) and Software (14 citations). Daniel W. Lewis has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Trevor Martin, J. DiLullo, P. J. Camporese, H.H. Smith, R. M. Averill, Steve Runyon, Mark Bowen, Joachim Keinert, P.J. Restle and Paul M. Williams. Their work appears in journals such as IBM Journal of Research and Development, IEEE Transactions on Education and Scholar Commons (Santa Clara University).
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.