Christine Matindi

33 total papers · 619 total citations
19 papers, 499 citations indexed

About

Christine Matindi is a scholar working on Water Science and Technology, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Christine Matindi has authored 19 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 13 papers in Biomedical Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Christine Matindi's work include Membrane Separation Technologies (16 papers), Membrane-based Ion Separation Techniques (11 papers) and Membrane Separation and Gas Transport (8 papers). Christine Matindi is often cited by papers focused on Membrane Separation Technologies (16 papers), Membrane-based Ion Separation Techniques (11 papers) and Membrane Separation and Gas Transport (8 papers). Christine Matindi collaborates with scholars based in China, South Africa and United States. Christine Matindi's co-authors include Jianxin Li, Zhenyu Cui, Mengyang Hu, Kuanjun Fang, Bhekie B. Mamba, Derrick S. Dlamini, Yunxia Hu, Shuqian Yang, Xiaohua Ma and Nozipho N. Gumbi and has published in prestigious journals such as Journal of Membrane Science, Electrochimica Acta and Separation and Purification Technology.

In The Last Decade

Christine Matindi

18 papers receiving 492 citations

Author Peers

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

Author Last Decade Papers Cites
Christine Matindi 402 278 136 126 70 19 499
Nozipho N. Gumbi 326 0.8× 227 0.8× 105 0.8× 143 1.1× 59 0.8× 23 475
Foad Gholami 415 1.0× 224 0.8× 153 1.1× 110 0.9× 43 0.6× 30 524
Thi Phuong Nga Nguyen 366 0.9× 309 1.1× 117 0.9× 133 1.1× 43 0.6× 12 498
Thanitporn Narkkun 245 0.6× 228 0.8× 133 1.0× 89 0.7× 65 0.9× 15 448
Shi Liuqing 427 1.1× 321 1.2× 159 1.2× 138 1.1× 66 0.9× 9 506
Xiaokai Bian 429 1.1× 322 1.2× 157 1.2× 123 1.0× 60 0.9× 9 507
Hai Tang 307 0.8× 198 0.7× 138 1.0× 96 0.8× 40 0.6× 29 474
Zhenghui Wang 331 0.8× 314 1.1× 103 0.8× 72 0.6× 76 1.1× 23 517
Qing Zhou 335 0.8× 273 1.0× 80 0.6× 112 0.9× 75 1.1× 21 527
Mahdieh Namvar‐Mahboub 408 1.0× 274 1.0× 208 1.5× 134 1.1× 39 0.6× 25 573

Countries citing papers authored by Christine Matindi

Since Specialization
Citations

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

Fields of papers citing papers by Christine Matindi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Matindi

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Matindi. A scholar is included among the top collaborators of Christine Matindi 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 Christine Matindi. Christine Matindi 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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