Muhammad Ubale Kiru

5 papers receiving 465 citations

Hit Papers

Comprehensive Review of Artificial Neural Network Applica...20192026202120232019100200300400

Peers

Muhammad Ubale Kiru
Comparison fields: 5 of 132
  • Artificial Intelligence 125
  • Electrical and Electronic Engineering 109
  • Control and Systems Engineering 43
  • Computer Networks and Communications 42
  • Biomedical Engineering 40
Replace Usman M. Gana with:
Usman M. Gana Nigeria
Srishti Verma India
Sanjukta De India
Yuchen Wu China
Abhay Chaturvedi India
Luisa Helena Bartocci Liboni Brazil
Emmanuel Okafor Nigeria
Silas Franco dos Reis Alves Brazil
Susmita Ray India
Jasminder Kaur Sandhu India
Muhammad Ubale Kiru relative to Usman M. Gana Nigeria Usman M. Gana's profile →
Citations per field
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Usman M. Gana · 1×
Citations per year

Countries citing papers authored by Muhammad Ubale Kiru

Since Specialization
Citations

This map shows the geographic impact of Muhammad Ubale Kiru'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 Muhammad Ubale Kiru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ubale Kiru more than expected).

Fields of papers citing papers by Muhammad Ubale Kiru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Ubale Kiru. 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 Muhammad Ubale Kiru. The network helps show where Muhammad Ubale Kiru may publish in the future.

Co-authorship network of co-authors of Muhammad Ubale Kiru

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 5
2 6
3 8
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Comprehensive Review of Artificial Neural Network Applications to Pattern Recognitionbreakdown →
456
5 3

About Muhammad Ubale Kiru

Muhammad Ubale Kiru is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 5 papers that have together received 478 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (1 paper), Advanced Malware Detection Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Health Informatics (6 citations), Artificial Intelligence (125 citations) and Signal Processing (31 citations). Muhammad Ubale Kiru has collaborated with scholars based in Malaysia, Nigeria and India. Frequent co-authors include Usman M. Gana, Abiodun Esther Omolara, Oludare Isaac Abiodun, Humaira Arshad, Bahari Belaton, Aman Jantan, Maryam Aminu, Khaled H. Almotairi, XinYing Chew and Ahmad MohdAziz Hussein. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems and Journal of Computer Virology and Hacking Techniques.

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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