Kasem Khalil

1.5k citations
109 papers · 897 indexed · h-index 16
Topics
Advanced Memory and Neural Computing (23 papers)Neural Networks and Applications (19 papers)Advanced Neural Network Applications (14 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors

In The Last Decade

Kasem Khalil

90 papers receiving 868 citations

Peers

Kasem Khalil
Comparison fields: 5 of 89
  • Electrical and Electronic Engineering 368
  • Artificial Intelligence 297
  • Computer Vision and Pattern Recognition 204
  • Hardware and Architecture 166
  • Computer Networks and Communications 164
Replace Xue Liu with:
Xue Liu China
Kamalakanta Mahapatra India
B S Kariyappa India
Athanasios Kakarountas Greece
Kaiyuan Zhang China
Rocco Fazzolari Italy
L.M. Patnaik India
Shin‐Dug Kim South Korea
Michael B. Sullivan United States
Bassam J. Mohd Jordan
Kasem Khalil relative to Xue Liu China Xue Liu's profile →
Citations per field
00.5×2.5×
Xue Liu · 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-authorship network of co-authors of Kasem Khalil

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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Low-delay dispersion comparator for level crossing analog to digital converters
1

About Kasem Khalil

Kasem Khalil is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 109 papers that have together received 897 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Neural Networks and Applications (19 papers) and Advanced Neural Network Applications (14 papers). The work is most often cited by research in Hardware and Architecture (166 citations), Computer Vision and Pattern Recognition (204 citations) and Artificial Intelligence (297 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, Philippe Leray and Sandip Halder. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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