Kasem Khalil

1.6k citations
137 papers · 1.1k · h-index 16

Impact in

Papers in

Kasem Khalil

108 papers receiving 1.1k citations

Peers

Kasem Khalil
Comparison fields: 5 of 89
  • Hardware and Architecture 190
  • Computer Vision and Pattern Recognition 257
  • Health Information Management 45
  • Artificial Intelligence 350
  • Signal Processing 100
Replace P. Karthigaikumar with:
P. Karthigaikumar India
Kamalakanta Mahapatra India
A. Srinivasan United States
Nawwaf Kharma Canada
Sotirios Xydis Greece
Semeen Rehman Germany
Mohamed Khalil-Hani Malaysia
Gaolei Li China
Mohamad Khairi Ishak Malaysia
Bassam J. Mohd Jordan
Kasem Khalil relative to P. Karthigaikumar India P. Karthigaikumar's profile →
Citations per field
00.5×5.4×
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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201895
2 202087
3 201966
4 202255
5 202347
6 202441
7 202039
8 202038
9 201834
10 201933
11 202328
12 202027
13 202223
14 202120
15 202218
16 201815
17 202115
18 201914
19 201713
20 202312

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 137 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Neural Networks and Applications (19 papers), Physical Unclonable Functions (PUFs) and Hardware Security (16 papers), Advanced Neural Network Applications (14 papers), Neuroscience and Neural Engineering (13 papers), CCD and CMOS Imaging Sensors (12 papers), Image and Video Quality Assessment (11 papers) and VLSI and Analog Circuit Testing (9 papers). The work is most often cited by research in Hardware and Architecture (190 citations), Computer Vision and Pattern Recognition (257 citations), Health Information Management (45 citations), Artificial Intelligence (350 citations) and Signal Processing (100 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, Yasser Ismail, Ahmed Abdelgawad and Philippe Leray. Their work appears in journals such as Sensors, IEEE Internet of Things Journal, IEEE Transactions on Circuits and Systems I Regular Papers, 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.

Explore authors with similar magnitude of impact