Firas Abuzaid

838 total citations
16 papers, 482 citations indexed

About

Firas Abuzaid is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Firas Abuzaid has authored 16 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Firas Abuzaid's work include Advanced Image and Video Retrieval Techniques (4 papers), Advanced Database Systems and Queries (3 papers) and Optimization and Search Problems (2 papers). Firas Abuzaid is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Advanced Database Systems and Queries (3 papers) and Optimization and Search Problems (2 papers). Firas Abuzaid collaborates with scholars based in United States, United Kingdom and India. Firas Abuzaid's co-authors include Matei Zaharia, Peter Bailis, John Emmons, Daniel Kang, Shoumik Palkar, Ce Zhang, Stefan Hadjis, Christopher Ré, Paul Clopton and Sanjiv M. Narayan and has published in prestigious journals such as Journal of the American College of Cardiology, Circulation Research and Proceedings of the VLDB Endowment.

In The Last Decade

Firas Abuzaid

15 papers receiving 467 citations

Peers

Firas Abuzaid

CVPR

AI

CNC

CCM

IS

Rafael Sachetto Brazil

M. A. Rizvi India

Mohamed Abu ElSoud Egypt

C. Nalini India

Subasish Mohapatra India

Y. Ramadevi India

Ashima Anand India

Robert Kinicki United States

Jingli Zhou China

Osama Abu-Elnasr Egypt

Rafael Sachetto Brazil

Firas Abuzaid

36 ×0.2

CVPR

84 ×0.6

AI

50 ×0.3

CNC

61 ×0.9

CCM

46 ×0.8

IS

Citations per year, relative to Firas Abuzaid Firas Abuzaid (= 1×) peers Rafael Sachetto

Countries citing papers authored by Firas Abuzaid

Since Specialization

Citations

This map shows the geographic impact of Firas Abuzaid'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 Firas Abuzaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Firas Abuzaid more than expected).

Fields of papers citing papers by Firas Abuzaid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Firas Abuzaid. 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 Firas Abuzaid. The network helps show where Firas Abuzaid may publish in the future.

Co-authorship network of co-authors of Firas Abuzaid

This figure shows the co-authorship network connecting the top 25 collaborators of Firas Abuzaid. A scholar is included among the top collaborators of Firas Abuzaid 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 Firas Abuzaid. Firas Abuzaid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Abuzaid, Firas, Srikanth Kandula, Behnaz Arzani, et al.. (2021). Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. Networked Systems Design and Implementation. 175–200. 8 indexed citations

2.

Narayanan, Deepak, Fiodar Kazhamiaka, Firas Abuzaid, et al.. (2021). Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. 521–537. 32 indexed citations

3.

Alhusseini, Mahmood, Firas Abuzaid, Albert J. Rogers, et al.. (2020). Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 13(8). e008160–e008160. 40 indexed citations

4.

Rogers, Albert J., Mahmood Alhusseini, David E. Krummen, et al.. (2020). Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death. Circulation Research. 128(2). 172–184. 31 indexed citations

5.

Abuzaid, Firas, Edward Gan, Erik Meijer, et al.. (2020). DIFF: a relational interface for large-scale data explanation. The VLDB Journal. 30(1). 45–70. 12 indexed citations

6.

Alhusseini, Mahmood, Firas Abuzaid, Paul Clopton, et al.. (2019). MACHINE LEARNING IDENTIFIES SITES WHERE ABLATION TERMINATES PERSISTENT ATRIAL FIBRILLATION. Journal of the American College of Cardiology. 73(9). 301–301. 2 indexed citations

7.

Abuzaid, Firas, et al.. (2019). To Index or Not to Index: Optimizing Exact Maximum Inner Product Search. 1250–1261. 10 indexed citations

8.

Abuzaid, Firas, Peter Bailis, Jialin Ding, et al.. (2018). MacroBase. ACM Transactions on Database Systems. 43(4). 1–45. 4 indexed citations

9.

Palkar, Shoumik, Firas Abuzaid, Peter Bailis, & Matei Zaharia. (2018). Filter before you parse. Proceedings of the VLDB Endowment. 11(11). 1576–1589. 41 indexed citations

10.

Abuzaid, Firas, Edward Gan, Erik Meijer, et al.. (2018). DIFF. Proceedings of the VLDB Endowment. 12(4). 419–432. 12 indexed citations

11.

Kang, Daniel, John Emmons, Firas Abuzaid, Peter Bailis, & Matei Zaharia. (2017). NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale.. Very Large Data Bases. 10. 1586–1597. 9 indexed citations

12.

Kang, Daniel, John Emmons, Firas Abuzaid, Peter Bailis, & Matei Zaharia. (2017). Optimizing Deep CNN-Based Queries over Video Streams at Scale. arXiv (Cornell University). 7 indexed citations

13.

Kang, Daniel, John Emmons, Firas Abuzaid, Peter Bailis, & Matei Zaharia. (2017). NoScope. Proceedings of the VLDB Endowment. 10(11). 1586–1597. 233 indexed citations

14.

Abuzaid, Firas, et al.. (2016). Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. Neural Information Processing Systems. 29. 3810–3818. 14 indexed citations

15.

Hadjis, Stefan, Firas Abuzaid, Ce Zhang, & Christopher Ré. (2015). Caffe con Troll. PubMed. 2015. 1–4. 27 indexed citations

16.

Abuzaid, Firas, et al.. (2012). CS224W Project Final Report CUDA Implementation of Large Graph Algorithms Group #1.

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.

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