Adamu Abubakar
- Information Systems top 5%
- Cloud Computing and Resource Management 7
- Artificial Intelligence top 5%
- Signal Processing top 10%
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- Stock Market Forecasting Methods 8
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- IoT and Edge/Fog Computing 8
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- Spatial Cognition and Navigation 10
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- Market Dynamics and Volatility 10
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- Energy Load and Power Forecasting 7
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- Advanced Steganography and Watermarking Techniques 7
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- Big Data and Business Intelligence 6
- Co-authors
- Haruna ChiromaTutut HerawanAkram M. ZekiLiyana ShuibSameem Abdul KareemMukhtar Fatihu HamzaAbdulsalam Ya’u GitalAbdullah Khan
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)IEEE Access (3 papers)
In The Last Decade
Adamu Abubakar
87 papers receiving 748 citations
Peers
Comparison fields: 5 of 108
- Information Systems 183
- Artificial Intelligence 246
- Signal Processing 78
- Management Science and Operations Research 88
- Computer Networks and Communications 154
Countries citing papers authored by Adamu Abubakar
This map shows the geographic impact of Adamu Abubakar'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 Adamu Abubakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adamu Abubakar more than expected).
Fields of papers citing papers by Adamu Abubakar
This network shows the impact of papers produced by Adamu Abubakar. 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 Adamu Abubakar. The network helps show where Adamu Abubakar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adamu Abubakar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | Assessment of the influence of ICT facilities for sustainability of modern teaching excellence in education | 2020 | 0 |
| 11 | 2017 | 30 | |
| 12 | Intelligent Decision Support Systems for Oil Price Forecasting | 2015 | 2 |
| 13 | 2015 | 39 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 8 | |
| 16 | 2013 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 6 | |
| 19 | 3D graphics visualization for interactive mobile users navigation | 2012 | 0 |
| 20 | 2011 | 1 |
About Adamu Abubakar
Adamu Abubakar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Management Information Systems, having authored 99 papers that have together received 792 indexed citations. Recurring topics across this work include Spatial Cognition and Navigation (10 papers), Market Dynamics and Volatility (10 papers), IoT and Edge/Fog Computing (8 papers), Stock Market Forecasting Methods (8 papers), Energy Load and Power Forecasting (7 papers), Advanced Steganography and Watermarking Techniques (7 papers), Cloud Computing and Resource Management (7 papers) and Big Data and Business Intelligence (6 papers). The work is most often cited by research in Information Systems (183 citations), Artificial Intelligence (246 citations) and Signal Processing (78 citations). Adamu Abubakar has collaborated with scholars based in Malaysia, Nigeria and Pakistan. Frequent co-authors include Haruna Chiroma, Tutut Herawan, Akram M. Zeki, Liyana Shuib, Sameem Abdul Kareem, Mukhtar Fatihu Hamza, Abdulsalam Ya’u Gital, Abdullah Khan, Shafi’i Muhammad Abdulhamid and Gaddafi Abdul-Salaam. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.