Paul C. Shields
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Co-authors
- Imre CsiszárDavid L. NeuhoffDonald OrnsteinK. MartonRobert M. GrayDavid AldousRoy L. AdlerChristian Grillenberger
- Topics
- Algorithms and Data Compression (23 papers)Machine Learning and Algorithms (12 papers)Mathematical Dynamics and Fractals (12 papers)
- Partner nations
- United StatesHungarySlovakia
In The Last Decade
Paul C. Shields
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 869
- Computational Theory and Mathematics 504
- Mathematical Physics 417
- Electrical and Electronic Engineering 266
- Computer Networks and Communications 256
Countries citing papers authored by Paul C. Shields
This map shows the geographic impact of Paul C. Shields'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 Paul C. Shields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul C. Shields more than expected).
Fields of papers citing papers by Paul C. Shields
This network shows the impact of papers produced by Paul C. Shields. 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 Paul C. Shields. The network helps show where Paul C. Shields may publish in the future.
Co-authorship network of co-authors of Paul C. Shields
This figure shows the co-authorship network connecting the top 25 collaborators of Paul C. Shields. A scholar is included among the top collaborators of Paul C. Shields 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 Paul C. Shields. Paul C. Shields 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 | 7 | |
| 3 | 17 | |
| 4 | 29 | |
| 5 | 11 | |
| 6 | 172 | |
| 7 | Correction: "Entropy and the consistent estimation of joint distributions" | 5 |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 52 | |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 45 | |
| 18 | The Theory of Bernoulli shifts | 118 |
| 19 | 8 | |
| 20 | 16 |
About Paul C. Shields
Paul C. Shields is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Artificial Intelligence, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Algorithms and Data Compression (23 papers), Machine Learning and Algorithms (12 papers) and Mathematical Dynamics and Fractals (12 papers). The work is most often cited by research in Mathematical Physics (417 citations), Computational Theory and Mathematics (504 citations) and Statistics and Probability (252 citations). Paul C. Shields has collaborated with scholars based in United States, Hungary and Slovakia. Frequent co-authors include Imre Csiszár, David L. Neuhoff, Donald Ornstein, K. Marton, Robert M. Gray, David Aldous, Roy L. Adler, Christian Grillenberger, Meir Smorodinsky and J Thouvenot. Their work appears in journals such as IEEE Transactions on Information Theory, Fertility and Sterility and The Annals of Statistics.
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.