Alan Siegel
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jeanette P. SchmidtAravind SrinivasanRichard ColeDanny DolevAmos FiatAlex StrongMoni NaorKevin Karplus
- Topics
- Algorithms and Data Compression (14 papers)Advanced Image and Video Retrieval Techniques (6 papers)Data Management and Algorithms (5 papers)
- Cited by
- Computational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and Communications
- Partner nations
- United StatesCanada
In The Last Decade
Alan Siegel
27 papers receiving 448 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 262
- Computational Theory and Mathematics 230
- Computer Networks and Communications 220
- Electrical and Electronic Engineering 88
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Alan Siegel
This map shows the geographic impact of Alan Siegel'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 Alan Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Siegel more than expected).
Fields of papers citing papers by Alan Siegel
This network shows the impact of papers produced by Alan Siegel. 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 Alan Siegel. The network helps show where Alan Siegel may publish in the future.
Co-authorship network of co-authors of Alan Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Siegel. A scholar is included among the top collaborators of Alan Siegel 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 Alan Siegel. Alan Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 29 | |
| 6 | The Wall Street Journal Guide to Planning Your Financial Future: The Easy-to-Read Guide to Planning for Retirement | 0 |
| 7 | 26 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | On Universal Classes of Fast High Performance Hash Functions, Their Time-Space Tradeoff, and Their Applications (Extended Abstract) | 1 |
| 11 | 6 | |
| 12 | Storing and Searching a Multikey Table (Extended Abstract) | 1 |
| 13 | Non-Oblivious Hashing (Extended Abstract) | 1 |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | River Routing Every Which Way, but Loose (Extended Abstract) | 0 |
| 18 | Parallel graph algorithms | 2 |
| 19 | 1 | |
| 20 | 2 |
About Alan Siegel
Alan Siegel is a scholar working on Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 34 papers that have together received 521 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (230 citations), Computer Graphics and Computer-Aided Design (37 citations) and Computer Networks and Communications (220 citations). Alan Siegel has collaborated with scholars based in United States and Canada. Frequent co-authors include Jeanette P. Schmidt, Aravind Srinivasan, Richard Cole, Danny Dolev, Amos Fiat, Alex Strong, Moni Naor, Kevin Karplus, Jeffrey D. Ullman and Bud Mishra. Their work appears in journals such as Journal of the ACM, IEEE Transactions on Computers and SIAM Journal on Computing.
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.