Matthew W. Pagano
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Joseph A. AkinyeleAviel D. RubinMatthew GreenIan MiersChristina GarmanMichael RushananChristoph U. LehmannZachary Peterson
- Topics
- Cryptography and Data Security (5 papers)Privacy-Preserving Technologies in Data (3 papers)Software Testing and Debugging Techniques (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Matthew W. Pagano
9 papers receiving 613 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 509
- Information Systems 367
- Computer Networks and Communications 143
- Computational Theory and Mathematics 80
- Electrical and Electronic Engineering 43
Countries citing papers authored by Matthew W. Pagano
This map shows the geographic impact of Matthew W. Pagano'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 Matthew W. Pagano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. Pagano more than expected).
Fields of papers citing papers by Matthew W. Pagano
This network shows the impact of papers produced by Matthew W. Pagano. 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 Matthew W. Pagano. The network helps show where Matthew W. Pagano may publish in the future.
Co-authorship network of co-authors of Matthew W. Pagano
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Pagano. A scholar is included among the top collaborators of Matthew W. Pagano 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 Matthew W. Pagano. Matthew W. Pagano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 31 | |
| 3 | 2 | |
| 4 | Charm: a framework for rapidly prototyping cryptosystemsbreakdown → | 444 |
| 5 | 14 | |
| 6 | Evaluation of Diagonal Confidence-Weighted Learning on the KDD Cup 1999 Dataset for Network Intrusion Detection Systems | 2 |
| 7 | 112 | |
| 8 | 7 | |
| 9 | 10 |
About Matthew W. Pagano
Matthew W. Pagano is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 9 papers that have together received 633 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (3 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Information Systems (367 citations), Artificial Intelligence (509 citations) and Software (36 citations). Matthew W. Pagano has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joseph A. Akinyele, Aviel D. Rubin, Matthew Green, Ian Miers, Christina Garman, Michael Rushanan, Christoph U. Lehmann, Matthew Green, Zachary Peterson and Susan Hohenberger. Their work appears in journals such as IEEE Software, Journal of Computer Security and Journal of Cryptographic Engineering.
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.