S. Abubakar

611 total citations
13 papers, 470 citations indexed

About

S. Abubakar is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Abubakar has authored 13 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 2 papers in Industrial and Manufacturing Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Abubakar's work include Adsorption and biosorption for pollutant removal (3 papers), Minerals Flotation and Separation Techniques (2 papers) and Water Quality and Pollution Assessment (2 papers). S. Abubakar is often cited by papers focused on Adsorption and biosorption for pollutant removal (3 papers), Minerals Flotation and Separation Techniques (2 papers) and Water Quality and Pollution Assessment (2 papers). S. Abubakar collaborates with scholars based in Nigeria, Malaysia and United Kingdom. S. Abubakar's co-authors include Ibrahim Mohammed Lawal, Ahmad Hussaini Jagaba, Isaac John Umaru, Aiban Abdulhakim Saeed Ghaleb, S. R. M. Kutty, Najib Mohammed Yahya Almahbashi, Ibrahim Hassan, Baker Nasser Saleh Al-dhawi, Azmatullah Noor and Gasim Hayder and has published in prestigious journals such as IEEE Access, Journal of Environmental Management and Journal of Water Process Engineering.

In The Last Decade

S. Abubakar

11 papers receiving 451 citations

Peers

S. Abubakar
Joachim Hansen Luxembourg
S. Abubakar
Citations per year, relative to S. Abubakar S. Abubakar (= 1×) peers Joachim Hansen

Countries citing papers authored by S. Abubakar

Since Specialization
Citations

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

Fields of papers citing papers by S. Abubakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. 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 S. Abubakar. The network helps show where S. Abubakar may publish in the future.

Co-authorship network of co-authors of S. Abubakar

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

All Works

13 of 13 papers shown
2.
Lawal, Ibrahim Mohammed, et al.. (2023). Proximate analysis of waste-to-energy potential of municipal solid waste for sustainable renewable energy generation. Ain Shams Engineering Journal. 15(1). 102357–102357. 51 indexed citations
3.
Almutairi, Mubarak, Lubna A. Gabralla, S. Abubakar, & Haruna Chiroma. (2022). Detecting Elderly Behaviors Based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges. IEEE Access. 10. 69802–69821. 17 indexed citations
4.
Jagaba, Ahmad Hussaini, S. R. M. Kutty, Ibrahim Mohammed Lawal, et al.. (2021). Sequencing batch reactor technology for landfill leachate treatment: A state-of-the-art review. Journal of Environmental Management. 282. 111946–111946. 143 indexed citations
5.
Chiroma, Haruna, Shafi’i Muhammad Abdulhamid, Mohamed Hashem, et al.. (2021). Deep Learning-Based Big Data Analytics for Internet of Vehicles: Taxonomy, Challenges, and Research Directions. Mathematical Problems in Engineering. 2021. 1–20. 12 indexed citations
6.
Jagaba, Ahmad Hussaini, S. R. M. Kutty, Gasim Hayder, et al.. (2020). Sustainable use of natural and chemical coagulants for contaminants removal from palm oil mill effluent: A comparative analysis. Ain Shams Engineering Journal. 11(4). 951–960. 54 indexed citations
7.
Jagaba, Ahmad Hussaini, S. R. M. Kutty, Gasim Hayder, et al.. (2020). Degradation of Cd, Cu, Fe, Mn, Pb and Zn by Moringa-oleifera, zeolite, ferric-chloride, chitosan and alum in an industrial effluent. Ain Shams Engineering Journal. 12(1). 57–64. 53 indexed citations
8.
Chiroma, Haruna, et al.. (2020). A Survey on Deep Learning for Steering Angle Prediction in Autonomous Vehicles. IEEE Access. 8. 163797–163817. 38 indexed citations
9.
Jagaba, Ahmad Hussaini, Shamsul Rahman Mohamed Kutty, Mohamed Hasnain Isa, et al.. (2020). Derived hybrid biosorbent for zinc(II) removal from aqueous solution by continuous-flow activated sludge system. Journal of Water Process Engineering. 34. 101152–101152. 46 indexed citations
10.
Jagaba, Ahmad Hussaini, S. R. M. Kutty, Gasim Hayder, et al.. (2020). Water quality hazard assessment for hand dug wells in Rafin Zurfi, Bauchi State, Nigeria. Ain Shams Engineering Journal. 11(4). 983–999. 49 indexed citations
11.
Narayan, Sunny, et al.. (2019). Introduction to Automotive Engineering. 3 indexed citations
12.
Abubakar, S., et al.. (2018). Adsorption Kinetics of Manganese (II) in wastewater of Chemical laboratory with Column Method using Sugarcane Bagasse as Adsorbent. Journal of Physics Conference Series. 953. 12022–12022.
13.
Abubakar, S., et al.. (2018). Adsorption and kinetics study of manganesse (II) in waste water using vertical column method by sugar cane bagasse. IOP Conference Series Materials Science and Engineering. 334. 12025–12025. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026