Peter P. Ndibewu

37 total papers · 521 total citations
28 papers, 391 citations indexed

About

Peter P. Ndibewu is a scholar working on Water Science and Technology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Peter P. Ndibewu has authored 28 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 9 papers in Pollution and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Peter P. Ndibewu's work include Adsorption and biosorption for pollutant removal (6 papers), Minerals Flotation and Separation Techniques (3 papers) and Toxic Organic Pollutants Impact (3 papers). Peter P. Ndibewu is often cited by papers focused on Adsorption and biosorption for pollutant removal (6 papers), Minerals Flotation and Separation Techniques (3 papers) and Toxic Organic Pollutants Impact (3 papers). Peter P. Ndibewu collaborates with scholars based in South Africa, Cameroon and United States. Peter P. Ndibewu's co-authors include B. M. Botha, Robert McCrindle, C.M.E. McCrindle, Armelle Tontsa Tsamo, Felix D. Dakora, Linda L. Sibali, Wilma Augustyn, Christian Wolkersdorfer, Mustapha Mohammed and Lihle D. Mafu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Fuel.

In The Last Decade

Peter P. Ndibewu

27 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Peter P. Ndibewu	121	112	78	75	57	28	391
Filipe Fagan Donato	105 0.9×	79 0.7×	94 1.2×	47 0.6×	110 1.9×	13	410
Han Yeong Kaw	105 0.9×	235 2.1×	77 1.0×	43 0.6×	39 0.7×	32	445
Mirna Sigrist	164 1.4×	197 1.8×	112 1.4×	60 0.8×	37 0.6×	24	443
Marcus Vinícius de Liz	128 1.1×	62 0.6×	55 0.7×	36 0.5×	119 2.1×	33	361
Diana Amorello	130 1.1×	109 1.0×	127 1.6×	36 0.5×	29 0.5×	33	417
Anna Jasińska	94 0.8×	82 0.7×	82 1.1×	176 2.3×	41 0.7×	29	423
Miguel López-Artíguez	146 1.2×	122 1.1×	92 1.2×	32 0.4×	18 0.3×	22	422
Marzieh Torabbeigi	95 0.8×	135 1.2×	40 0.5×	27 0.4×	113 2.0×	21	353
Z. Fröbe	140 1.2×	118 1.1×	63 0.8×	145 1.9×	14 0.2×	19	354
Tatianne Ferreira de Oliveira	79 0.7×	63 0.6×	50 0.6×	34 0.5×	146 2.6×	52	405

Countries citing papers authored by Peter P. Ndibewu

Since Specialization

Citations

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

Fields of papers citing papers by Peter P. Ndibewu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter P. Ndibewu

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