Amir Abboud
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Virginia Vassilevska WilliamsArtūrs BačkursHuacheng YuRyan WilliamsKarl BringmannFabrizio GrandoniThomas Dueholm HansenSeth Pettie
- Topics
- Complexity and Algorithms in Graphs (27 papers)Advanced Graph Theory Research (20 papers)Algorithms and Data Compression (10 papers)
- Cited by
- Computational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and Communications
- Journals
- Journal of the ACMIEEE Transactions on Knowledge and Data EngineeringSIAM Journal on Computing
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Amir Abboud
34 papers receiving 455 citations
Peers
Comparison fields: 5 of 37
- Computational Theory and Mathematics 342
- Artificial Intelligence 206
- Computer Networks and Communications 196
- Signal Processing 46
- Computer Graphics and Computer-Aided Design 46
Countries citing papers authored by Amir Abboud
This map shows the geographic impact of Amir Abboud'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 Amir Abboud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Abboud more than expected).
Fields of papers citing papers by Amir Abboud
This network shows the impact of papers produced by Amir Abboud. 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 Amir Abboud. The network helps show where Amir Abboud may publish in the future.
Co-authorship network of co-authors of Amir Abboud
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Abboud. A scholar is included among the top collaborators of Amir Abboud 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 Amir Abboud. Amir Abboud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 28 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 18 | |
| 19 | 110 | |
| 20 | 25 |
About Amir Abboud
Amir Abboud is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 36 papers that have together received 482 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (27 papers), Advanced Graph Theory Research (20 papers) and Algorithms and Data Compression (10 papers). The work is most often cited by research in Computational Theory and Mathematics (342 citations), Computer Graphics and Computer-Aided Design (46 citations) and Computer Networks and Communications (196 citations). Amir Abboud has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Virginia Vassilevska Williams, Artūrs Bačkurs, Huacheng Yu, Ryan Williams, Karl Bringmann, Fabrizio Grandoni, Thomas Dueholm Hansen, Seth Pettie, Robert Krauthgamer and Debmalya Panigrahi. Their work appears in journals such as Journal of the ACM, IEEE Transactions on Knowledge and Data Engineering 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.