Computers, materials & continua/Computers, materials & continua (Print)

5.2k papers and 37.2k indexed citations

About

The 5.2k papers published in Computers, materials & continua/Computers, materials & continua (Print) in the last decades have received a total of 37.2k indexed citations. Papers published in Computers, materials & continua/Computers, materials & continua (Print) usually cover Artificial Intelligence (1.5k papers), Computer Vision and Pattern Recognition (1.2k papers) and Computer Networks and Communications (1.1k papers) specifically the topics of Network Security and Intrusion Detection (422 papers), IoT and Edge/Fog Computing (308 papers) and Anomaly Detection Techniques and Applications (281 papers). The most active scholars publishing in Computers, materials & continua/Computers, materials & continua (Print) are Timon Rabczuk, Xiaoying Zhuang, Muhammad Adnan Khan, Muhammad Attique Khan, Yunyoung Nam, Naif Alajlan, Elena Atroshchenko, Cosmin Anitescu, Mohd Anul Haq and Hongwei Guo.

In The Last Decade

Computers, materials & continua/Computers, materials & continua (Print)

4.4k papers receiving 33.3k citations

Peers

Computers, materials & continua/Computers, materials & continua (Print)
Comparison fields: 5 of 228
  • Artificial Intelligence 10.2k
  • Computer Networks and Communications 7.0k
  • Computer Vision and Pattern Recognition 6.8k
  • Information Systems 5.0k
  • Electrical and Electronic Engineering 4.6k
Replace Information with:
Information China
Journal of King Saud University - Computer and Information Sciences China
Computational Intelligence and Neuroscience China
Indian Journal of Science and Technology India
Complexity China
IEICE Transactions on Information and Systems Japan
Neural Processing Letters China
Algorithms China
International Journal of Machine Learning and Cybernetics China
Journal of Ambient Intelligence and Humanized Computing China
Information China View profile →
Citations per field, relative to Computers, materials & continua/Computers, materials & continua (Print)
Computers, materials & continua/Computers, materials & continua (Print) · 1×
Citations per year, relative to Computers, materials & continua/Computers, materials & continua (Print)
Computers, materials & continua/Computers, materials & continua (Print) · 1×

Countries where authors publish in Computers, materials & continua/Computers, materials & continua (Print)

Since Specialization
Citations

This map shows the geographic impact of research published in Computers, materials & continua/Computers, materials & continua (Print). 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 papers published in Computers, materials & continua/Computers, materials & continua (Print) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computers, materials & continua/Computers, materials & continua (Print) more than expected).

Fields of papers published in Computers, materials & continua/Computers, materials & continua (Print)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computers, materials & continua/Computers, materials & continua (Print). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computers, materials & continua/Computers, materials & continua (Print).

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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