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

37.2k citations
5.2k papers · indexed · active since 1951

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 Arabian Journal for Science and Engineering with:
Arabian Journal for Science and Engineering India
Complexity China
Journal of Intelligent & Fuzzy Systems China
Computational Intelligence and Neuroscience China
Neural Processing Letters China
SN Computer Science India
Journal of Ambient Intelligence and Humanized Computing China
Symmetry China
Journal of King Saud University - Computer and Information Sciences China
Annals of Operations Research United States
Computers, materials & continua/Computers, materials & continua (Print) relative to Arabian Journal for Science and Engineering India Arabian Journal for Science and Engineering's profile →
Citations per field
00.5×1.5×
Arabian Journal for Science and Engineering · 1×
Citations per year

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).

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

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 Computer Vision and Pattern Recognition (1.2k papers), Computer Networks and Communications (1.1k papers) and Artificial Intelligence (1.5k 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.

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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