Nick Howgrave-Graham
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Cong LingNigel P. SmartRosario GennaroDario CatalanoPhong Q. NguyễnWai Ho MowDon CoppersmithMichael Szydlo
- Topics
- Cryptography and Data Security (5 papers)Coding theory and cryptography (5 papers)Cryptography and Residue Arithmetic (3 papers)
- Journals
- Mathematics of ComputationIEEE Transactions on CommunicationsLecture notes in computer science
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Nick Howgrave-Graham
9 papers receiving 211 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 164
- Computer Networks and Communications 82
- Electrical and Electronic Engineering 81
- Information Systems 60
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Nick Howgrave-Graham
This map shows the geographic impact of Nick Howgrave-Graham'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 Nick Howgrave-Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Howgrave-Graham more than expected).
Fields of papers citing papers by Nick Howgrave-Graham
This network shows the impact of papers produced by Nick Howgrave-Graham. 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 Nick Howgrave-Graham. The network helps show where Nick Howgrave-Graham may publish in the future.
Co-authorship network of co-authors of Nick Howgrave-Graham
This figure shows the co-authorship network connecting the top 25 collaborators of Nick Howgrave-Graham. A scholar is included among the top collaborators of Nick Howgrave-Graham 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 Nick Howgrave-Graham. Nick Howgrave-Graham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 6 | |
| 3 | 52 | |
| 4 | A method to solve cyclotomic norm equations f * f | 3 |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 47 | |
| 9 | 72 |
About Nick Howgrave-Graham
Nick Howgrave-Graham is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 9 papers that have together received 229 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Coding theory and cryptography (5 papers) and Cryptography and Residue Arithmetic (3 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Computer Networks and Communications (82 citations) and Information Systems (60 citations). Nick Howgrave-Graham has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Cong Ling, Nigel P. Smart, Rosario Gennaro, Dario Catalano, Phong Q. Nguyễn, Wai Ho Mow, Don Coppersmith, Michael Szydlo and Igor E. Shparlinski. Their work appears in journals such as Mathematics of Computation, IEEE Transactions on Communications and Lecture notes in computer science.
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.