Peter K. Ndiba

37 total papers · 649 total citations
21 papers, 519 citations indexed

About

Peter K. Ndiba is a scholar working on Pollution, Geochemistry and Petrology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Peter K. Ndiba has authored 21 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pollution, 5 papers in Geochemistry and Petrology and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Peter K. Ndiba's work include Heavy metals in environment (5 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Biological Control of Invasive Species (3 papers). Peter K. Ndiba is often cited by papers focused on Heavy metals in environment (5 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Biological Control of Invasive Species (3 papers). Peter K. Ndiba collaborates with scholars based in Kenya, United States and South Africa. Peter K. Ndiba's co-authors include G T Thiong'o, James Wambua Kaluli, Lisa Axe, Thipnakarin Boonfueng, Elliott D. Sclar, Nicole S. Ngo, Steven N. Chillrud, Samuel Mwaniki Gaita, Patrick L. Kinney and Anthony Gachanja and has published in prestigious journals such as Environmental Science & Technology, Journal of Cleaner Production and Journal of Colloid and Interface Science.

In The Last Decade

Peter K. Ndiba

21 papers receiving 495 citations

Author Peers

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

Author Last Decade Papers Cites
Peter K. Ndiba 146 137 115 110 65 21 519
Mohammad Shakerkhatibi 170 1.2× 194 1.4× 103 0.9× 160 1.5× 165 2.5× 37 596
Gaurav Saini 144 1.0× 70 0.5× 72 0.6× 89 0.8× 157 2.4× 33 562
Maria Aparecida Faustino Pires 149 1.0× 186 1.4× 104 0.9× 142 1.3× 28 0.4× 30 600
Parteek Singh Thind 108 0.7× 67 0.5× 152 1.3× 100 0.9× 52 0.8× 18 562
Konstantin Raclavský 60 0.4× 180 1.3× 85 0.7× 119 1.1× 71 1.1× 49 528
Ayoob Torkian 239 1.6× 60 0.4× 74 0.6× 126 1.1× 107 1.6× 26 493
Jingjin Pan 81 0.6× 58 0.4× 122 1.1× 117 1.1× 70 1.1× 12 561
Zeynab Baboli 86 0.6× 203 1.5× 123 1.1× 55 0.5× 171 2.6× 24 553
Marek Kucbel 45 0.3× 164 1.2× 92 0.8× 107 1.0× 63 1.0× 48 486
Savaş Ayberk 137 0.9× 283 2.1× 66 0.6× 315 2.9× 81 1.2× 11 619

Countries citing papers authored by Peter K. Ndiba

Since Specialization
Citations

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

Fields of papers citing papers by Peter K. Ndiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter K. Ndiba. 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 Peter K. Ndiba. The network helps show where Peter K. Ndiba may publish in the future.

Co-authorship network of co-authors of Peter K. Ndiba

This figure shows the co-authorship network connecting the top 25 collaborators of Peter K. Ndiba. A scholar is included among the top collaborators of Peter K. Ndiba 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 Peter K. Ndiba. Peter K. Ndiba 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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