Shukrani Manya

36 papers and 656 indexed citations i.

About

Shukrani Manya is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Shukrani Manya has authored 36 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Geophysics, 24 papers in Artificial Intelligence and 17 papers in Geochemistry and Petrology. Recurrent topics in Shukrani Manya’s work include Geological and Geochemical Analysis (33 papers), Geochemistry and Geologic Mapping (24 papers) and Geochemistry and Elemental Analysis (17 papers). Shukrani Manya is often cited by papers focused on Geological and Geochemical Analysis (33 papers), Geochemistry and Geologic Mapping (24 papers) and Geochemistry and Elemental Analysis (17 papers). Shukrani Manya collaborates with scholars based in Tanzania, Japan and United States. Shukrani Manya's co-authors include Makenya A.H. Maboko, M.A.H. Maboko, Eizou Nakamura, Eizo Nakamura, K. Kobayashi, Richard J. Brown, R. S. J. Sparks, Roberta L. Rudnick, Finlay M. Stuart and Conall Mac Niocaill and has published in prestigious journals such as Chemical Geology, Journal of Petrology and Precambrian Research.

In The Last Decade

Co-authorship network of co-authors of Shukrani Manya i

Fields of papers citing papers by Shukrani Manya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shukrani Manya

Since Specialization
Citations

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

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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2025