Abubakar Shitu

34 total papers · 850 total citations
22 papers, 629 citations indexed

About

Abubakar Shitu is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology and Pollution. According to data from OpenAlex, Abubakar Shitu has authored 22 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 11 papers in Water Science and Technology and 9 papers in Pollution. Recurrent topics in Abubakar Shitu's work include Wastewater Treatment and Nitrogen Removal (8 papers), Constructed Wetlands for Wastewater Treatment (7 papers) and Water Quality Monitoring Technologies (5 papers). Abubakar Shitu is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (8 papers), Constructed Wetlands for Wastewater Treatment (7 papers) and Water Quality Monitoring Technologies (5 papers). Abubakar Shitu collaborates with scholars based in China, Nigeria and Egypt. Abubakar Shitu's co-authors include Songming Zhu, M. A. Mohammed, Amal M. Ibrahim, Dezhao Liu, Musa Abubakar Tadda, Zhangying Ye, Shamsul Izhar, Yadong Zhang, Amimul Ahsan and Md. Abdur Razzaque and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Journal of Environmental Management.

In The Last Decade

Abubakar Shitu

21 papers receiving 603 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Abubakar Shitu 290 203 136 84 83 22 629
Musa Abubakar Tadda 174 0.6× 225 1.1× 151 1.1× 89 1.1× 60 0.7× 17 558
Haiyan Guo 352 1.2× 214 1.1× 366 2.7× 125 1.5× 99 1.2× 27 782
P. Rajasulochana 222 0.8× 89 0.4× 109 0.8× 138 1.6× 128 1.5× 14 621
Mohsen Hamidpour 260 0.9× 182 0.9× 107 0.8× 51 0.6× 38 0.5× 40 784
Jae‐Soo Chang 388 1.3× 205 1.0× 168 1.2× 66 0.8× 134 1.6× 19 662
Solomon Oluwaseun Akinnawo 215 0.7× 117 0.6× 108 0.8× 101 1.2× 60 0.7× 25 580
M. M. Figueira 420 1.4× 145 0.7× 222 1.6× 23 0.3× 82 1.0× 15 726
Artur Mielcarek 252 0.9× 305 1.5× 284 2.1× 39 0.5× 124 1.5× 60 756
Ee Ling Yong 250 0.9× 167 0.8× 118 0.9× 57 0.7× 117 1.4× 30 561
Surbhi Sinha 195 0.7× 71 0.3× 79 0.6× 146 1.7× 77 0.9× 20 570

Countries citing papers authored by Abubakar Shitu

Since Specialization
Citations

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

Fields of papers citing papers by Abubakar Shitu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abubakar Shitu

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

All Works

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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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