Khaled Saab

20 papers receiving 287 citations

Peers

Khaled Saab
Comparison fields: 5 of 59
  • Hardware and Architecture 111
  • Health Informatics 12
  • Cognitive Neuroscience 52
  • Electrical and Electronic Engineering 146
  • Artificial Intelligence 65
Replace Karthi Balasubramanian with:
Karthi Balasubramanian India
R. Lin United States
Xiaoyang Zeng China
Erlin Yao China
Sanjeev Tannirkulam Chandrasekaran United States
Janet Roveda United States
Shengyuan Zhou China
Xuhang Chen China
Ahmed M. Alwakeel Saudi Arabia
Bernhard H. C. Sputh United Kingdom
Khaled Saab relative to Karthi Balasubramanian India Karthi Balasubramanian's profile →
Citations per field
00.5×3.6×
Karthi Balasubramanian · 1×
Citations per year

Countries citing papers authored by Khaled Saab

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Saab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khaled Saab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Khaled Saab Line = papers co-authored together Khaled Saab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 200035
3 199626
4 200225
5 202222
6 202222
7 200122
8 202119
9 201911
10 201511
11 201610
12 201910
13 20247
14 20167
15
FaultMaxx: A Perturbation Based Fault Modeling and Simulation for Mixed-Signal Circuits
20016
16 19955
17 20024
18 20162
19 20182
20 20001

About Khaled Saab

Khaled Saab is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computational Mechanics and Computer Networks and Communications, having authored 21 papers that have together received 301 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (7 papers), VLSI and Analog Circuit Testing (7 papers), VLSI and FPGA Design Techniques (4 papers), Machine Learning in Healthcare (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Radiation Effects in Electronics (2 papers), Statistical Methods and Inference (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Health Informatics (12 citations), Cognitive Neuroscience (52 citations), Electrical and Electronic Engineering (146 citations) and Artificial Intelligence (65 citations). Khaled Saab has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Bożena Kamińska, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Naim Ben‐Hamida, Christopher Lee‐Messer, Samer S. Saab, Minghui Zhu, Shashi Phoha and Asok Ray. Their work appears in journals such as npj Digital Medicine, IEEE photonics journal, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Signal Processing Letters and Neural Networks.

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.

Explore authors with similar magnitude of impact