Kasem Khalil

1.6k citations
127 papers · 1.0k · h-index 16

Impact in

Papers in

Kasem Khalil

96 papers receiving 988 citations

Peers

Kasem Khalil
Comparison fields: 5 of 89
  • Hardware and Architecture 177
  • Computer Vision and Pattern Recognition 233
  • Artificial Intelligence 314
  • Health Information Management 36
  • Signal Processing 86
Replace P. Karthigaikumar with:
P. Karthigaikumar India
Trio Adiono Indonesia
A. Srinivasan United States
Semeen Rehman Germany
Hongxu Yin United States
Geetam Singh Tomar India
Michael B. Sullivan United States
Bassam J. Mohd Jordan
Liu Liu China
Kasem Khalil relative to P. Karthigaikumar India P. Karthigaikumar's profile →
Citations per field
00.5×4.9×
P. Karthigaikumar · 1×
Citations per year

Countries citing papers authored by Kasem Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Kasem Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kasem Khalil, 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 Kasem Khalil Line = papers co-authored together Kasem Khalil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 202083
3 201966
4 202254
5 202343
6 202038
7 202438
8 201834
9 202034
10 201932
11 202326
12 202024
13 202223
14 202217
15 202117
16 201815
17 202114
18 201713
19 201913
20 201911

About Kasem Khalil

Kasem Khalil is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 127 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Neural Networks and Applications (19 papers), Advanced Neural Network Applications (14 papers), Physical Unclonable Functions (PUFs) and Hardware Security (12 papers), CCD and CMOS Imaging Sensors (12 papers), Neuroscience and Neural Engineering (11 papers), VLSI and Analog Circuit Testing (9 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Hardware and Architecture (177 citations), Computer Vision and Pattern Recognition (233 citations), Artificial Intelligence (314 citations), Health Information Management (36 citations) and Signal Processing (86 citations). Kasem Khalil has collaborated with scholars based in United States, Egypt and Belgium. Frequent co-authors include Magdy Bayoumi, Ashok Kumar, Omar Eldash, Khalid Elgazzar, Bappaditya Dey, Sonia Akter, Ahmed Sherif, Ahmed Abdelgawad, Sandip Halder and Philippe Leray. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Circuits and Systems I Regular Papers, Sensors, Internet of Things and IEEE Transactions on Circuits & Systems II Express Briefs.

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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