William F. Atchison
- Computer Science Applications top 1%
- Information Systems top 10%
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- John W. HamblenSilvio O. NavarroWerner C. RheinboldtSamuel D. ConteThomas A. KeenanDavid M. YoungEarl J. SchweppeE.J. McCluskey
- Topics
- Teaching and Learning Programming (7 papers)Computability, Logic, AI Algorithms (3 papers)Information Systems Education and Curriculum Development (2 papers)
- Journals
- Communications of the ACMInternational Journal of Electrical Engineering EducationACM SIGCSE Bulletin
- Partner nations
- United StatesCanada
In The Last Decade
William F. Atchison
9 papers receiving 313 citations
Peers
Comparison fields: 5 of 46
- Computer Science Applications 237
- Information Systems 99
- Artificial Intelligence 74
- Computer Networks and Communications 66
- Computational Theory and Mathematics 66
Countries citing papers authored by William F. Atchison
This map shows the geographic impact of William F. Atchison'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 William F. Atchison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William F. Atchison more than expected).
Fields of papers citing papers by William F. Atchison
This network shows the impact of papers produced by William F. Atchison. 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 William F. Atchison. The network helps show where William F. Atchison may publish in the future.
Co-authorship network of co-authors of William F. Atchison
This figure shows the co-authorship network connecting the top 25 collaborators of William F. Atchison. A scholar is included among the top collaborators of William F. Atchison 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 William F. Atchison. William F. Atchison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | NATIONAL COUNCIL OF TEACHERS OF MATHEMATICS INC | 11 |
| 2 | ACM Curricula Recommendations for Computer Science | 3 |
| 3 | ACM Recommended Curricula for Computer Science and Information Processing Programs in Colleges and Universities, 1968-1981 | 4 |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 308 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 |
About William F. Atchison
William F. Atchison is a scholar working on Computer Science Applications, Computational Theory and Mathematics and Artificial Intelligence, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this work include Teaching and Learning Programming (7 papers), Computability, Logic, AI Algorithms (3 papers) and Information Systems Education and Curriculum Development (2 papers). The work is most often cited by research in Computer Science Applications (237 citations), Software (57 citations) and Hardware and Architecture (39 citations). William F. Atchison has collaborated with scholars based in United States and Canada. Frequent co-authors include John W. Hamblen, Silvio O. Navarro, Werner C. Rheinboldt, Samuel D. Conte, Thomas A. Keenan, David M. Young, Earl J. Schweppe, E.J. McCluskey, Bruce Thompson and David Johnson. Their work appears in journals such as Communications of the ACM, International Journal of Electrical Engineering Education 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.