Paul Cull
- Computer Networks and Communications top 5%
- Public Health, Environmental and Occupational Health top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Genetics
- Co-authors
- Andrew VogtA. VogtLuca G. TalliniPrasad TadepalliWilliam M. FrankJim HollowayJames L. HollowayMary Flahive
- Topics
- Algorithms and Data Compression (9 papers)Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)Evolutionary Game Theory and Cooperation (6 papers)
- Cited by
- Modeling and SimulationComputer Networks and CommunicationsComputational Theory and Mathematics
- Partner nations
- United StatesItalyChina
In The Last Decade
Paul Cull
58 papers receiving 837 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 307
- Public Health, Environmental and Occupational Health 274
- Electrical and Electronic Engineering 191
- Computational Theory and Mathematics 171
- Genetics 154
Countries citing papers authored by Paul Cull
This map shows the geographic impact of Paul Cull'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 Cull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Cull more than expected).
Fields of papers citing papers by Paul Cull
This network shows the impact of papers produced by Paul Cull. 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 Cull. The network helps show where Paul Cull may publish in the future.
Co-authorship network of co-authors of Paul Cull
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Cull. A scholar is included among the top collaborators of Paul Cull 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 Cull. Paul Cull 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 | 2 | |
| 3 | 23 | |
| 4 | DIFFERENCE EQUATIONS AS BIOLOGICAL MODELS | 0 |
| 5 | 17 | |
| 6 | Difference Equations: From Rabbits to Chaos (Undergraduate Texts in Mathematics) | 9 |
| 7 | 2 | |
| 8 | STABILITY IN ONE-DIMENSIONAL MODELS | 10 |
| 9 | 4 | |
| 10 | 2 | |
| 11 | Neural Networks for Decoding Error-Correcting Codes | 1 |
| 12 | 33 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 26 | |
| 16 | 12 | |
| 17 | 60 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | 3 |
About Paul Cull
Paul Cull is a scholar working on Discrete Mathematics and Combinatorics, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 62 papers that have together received 907 indexed citations. Recurring topics across this work include Algorithms and Data Compression (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Computer Networks and Communications (307 citations) and Computational Theory and Mathematics (171 citations). Paul Cull has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Andrew Vogt, A. Vogt, Luca G. Tallini, Prasad Tadepalli, William M. Frank, Jim Holloway, James L. Holloway, Mary Flahive, Robby Robson and Rajeev Pandey. Their work appears in journals such as BioScience, IEEE Transactions on Computers and Machine Learning.
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.