George G. Dodd
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Signal Processing
- Computer Vision and Pattern Recognition
- Information Systems
- Topics
- Experimental Learning in Engineering (2 papers)Teaching and Learning Programming (2 papers)Parallel Computing and Optimization Techniques (1 paper)
- Journals
- ACM Computing SurveysThe American Historical ReviewACM SIGCSE Bulletin
- Partner nations
- United StatesMexicoIsrael
In The Last Decade
George G. Dodd
12 papers receiving 110 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 81
- Artificial Intelligence 48
- Signal Processing 33
- Computer Vision and Pattern Recognition 27
- Information Systems 23
Countries citing papers authored by George G. Dodd
This map shows the geographic impact of George G. Dodd'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 George G. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George G. Dodd more than expected).
Fields of papers citing papers by George G. Dodd
This network shows the impact of papers produced by George G. Dodd. 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 George G. Dodd. The network helps show where George G. Dodd may publish in the future.
Co-authorship network of co-authors of George G. Dodd
This figure shows the co-authorship network connecting the top 25 collaborators of George G. Dodd. A scholar is included among the top collaborators of George G. Dodd 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 George G. Dodd. George G. Dodd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Railways, Steamers and Telegraphs: A Glance at Their Recent Progress and Present State | 3 |
| 2 | Virtual reality for automotive design evaluation | 1 |
| 3 | 18 | |
| 4 | 1 | |
| 5 | Days at the factories : or, The manufacturing industry of Great Britain described, and illustrated by numerous engravings of machines and processes | 1 |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 67 | |
| 11 | Data base task group report to the CODASYL programming language committee, October 1969 | 7 |
| 12 | 25 |
About George G. Dodd
George G. Dodd is a scholar working on Computer Science Applications, Media Technology and Hardware and Architecture, having authored 12 papers that have together received 146 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (2 papers), Teaching and Learning Programming (2 papers) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (81 citations), Signal Processing (33 citations) and Computer Science Applications (12 citations). George G. Dodd has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Jean Ε. Sammet, Paul H. Siegel, Robert Lechner and Charles W. Bachman. Their work appears in journals such as ACM Computing Surveys, The American Historical Review and ACM SIGCSE Bulletin.
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.