Anna Pagh
Impact in
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- Caching and Content Delivery
- Advanced Data Storage Technologies
- Artificial Intelligence top 10%
- Algorithms and Data Compression
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Algorithms and Data Compression 7
- Cryptography and Data Security 2
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- Caching and Content Delivery 4
- Error Correcting Code Techniques 1
- Co-authors
- Rasmus Pagh (9 shared papers)Srinivasa Rao Satti (1 shared paper)Milan Ružić (3 shared papers)Philip Bille (1 shared paper)Mikkel Thorup (1 shared paper)Rolf Fagerberg (1 shared paper)
- Journals
- SIAM Journal on Computing (2 papers)SIAM Review (1 paper)Lecture notes in computer science (3 papers)Symposium on Discrete Algorithms (1 paper)
- Partner nations
- DenmarkUnited StatesCanada
In The Last Decade
Anna Pagh
9 papers receiving 250 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 189
- Artificial Intelligence 181
- Hardware and Architecture 29
- Signal Processing 40
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Anna Pagh
This map shows the geographic impact of Anna Pagh'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 Anna Pagh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Pagh more than expected).
Fields of papers citing papers by Anna Pagh
This network shows the impact of papers produced by Anna Pagh. 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 Anna Pagh. The network helps show where Anna Pagh may publish in the future.
Co-authors
The 6 scholars most cited alongside Anna Pagh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 108 | |
| 2 | 2008 | 59 | |
| 3 | 2007 | 30 | |
| 4 | 2007 | 26 | |
| 5 | 2009 | 19 | |
| 6 | 2006 | 11 | |
| 7 | 2011 | 10 | |
| 8 | 2006 | 6 | |
| 9 | 2004 | 5 |
About Anna Pagh
Anna Pagh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Hardware and Architecture and Signal Processing, having authored 9 papers that have together received 274 indexed citations. Recurring topics across this work include Algorithms and Data Compression (7 papers), Caching and Content Delivery (4 papers), Cryptography and Data Security (2 papers), Complexity and Algorithms in Graphs (2 papers), DNA and Biological Computing (2 papers), Network Packet Processing and Optimization (1 paper), Advanced Graph Theory Research (1 paper) and Error Correcting Code Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (189 citations), Artificial Intelligence (181 citations), Hardware and Architecture (29 citations), Signal Processing (40 citations) and Computer Vision and Pattern Recognition (48 citations). Anna Pagh has collaborated with scholars based in Denmark, United States and Canada. Frequent co-authors include Rasmus Pagh, Srinivasa Rao Satti, Milan Ružić, Philip Bille, Mikkel Thorup and Rolf Fagerberg. Their work appears in journals such as SIAM Journal on Computing, SIAM Review, Lecture notes in computer science and Symposium on Discrete Algorithms.
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.