University of Information Technology and Communications

14.8k citations
866 papers ·

Impact in

Papers in

University of Information Technology and Communications

666 papers receiving 13.8k citations

Peers

University of Information Technology and Communications
Comparison fields: 5 of 223
  • Health Informatics 262
  • Health Information Management 586
  • Computer Vision and Pattern Recognition 2.6k
  • Artificial Intelligence 3.6k
  • Signal Processing 818
Replace Duhok Polytechnic University with:
Duhok Polytechnic University Iraq
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Imam Ja’afar Al-Sadiq University Iraq
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Islamic Azad University, Dezful Branch Iran
University of Information Technology and Communications relative to Duhok Polytechnic University Iraq Duhok Polytechnic University's profile →
Citations per field
00.5×2×3×3.6×
Duhok Polytechnic University · 1×
Citations per year

Countries citing scholars working at University of Information Technology and Communications

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at University of Information Technology and Communications. 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 produced at University of Information Technology and Communications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites University of Information Technology and Communications more than expected).

Fields of papers published by authors at University of Information Technology and Communications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Information Technology and Communications at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with University of Information Technology and Communications at the time of their publication.

About University of Information Technology and Communications

In recent decades, authors affiliated with University of Information Technology and Communications have published 866 papers, which have received a total of 14.8k indexed citations . Scholars at this organization have produced 169 papers in Computer Vision and Pattern Recognition, 75 papers in Signal Processing, 28 papers in Health Information Management, 151 papers in Computer Networks and Communications and 214 papers in Artificial Intelligence on the topics of Network Security and Intrusion Detection (48 papers), IoT and Edge/Fog Computing (39 papers), Chaos-based Image/Signal Encryption (36 papers), AI in cancer detection (32 papers), Advanced Malware Detection Techniques (31 papers), Anomaly Detection Techniques and Applications (29 papers), Advanced Steganography and Watermarking Techniques (26 papers) and Artificial Intelligence in Healthcare (25 papers). Their work is cited by papers focused on Health Informatics (262 citations), Health Information Management (586 citations), Computer Vision and Pattern Recognition (2.6k citations), Artificial Intelligence (3.6k citations) and Signal Processing (818 citations). Authors at University of Information Technology and Communications collaborate with scholars in Iraq, Malaysia and Australia and have published in prestigious journals including IEEE Access, PLoS ONE, Journal of Medical Systems, Proceedings of the VLDB Endowment and Multimedia Tools and Applications. Some of University of Information Technology and Communications's most productive authors include Laith H. Alzubaidi, Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Jinglan Zhang, Ye Duan, Amjad J. Humaidi, Jose I. Santamaria, Laith Farhan, Muthana Al‐Amidie and Ayad Q. Al-Dujaili.

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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