Valentine Saasa

14 total papers · 542 total citations
10 papers, 419 citations indexed

About

Valentine Saasa is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Bioengineering. According to data from OpenAlex, Valentine Saasa has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 4 papers in Bioengineering. Recurrent topics in Valentine Saasa's work include Gas Sensing Nanomaterials and Sensors (8 papers), Advanced Chemical Sensor Technologies (6 papers) and Analytical Chemistry and Sensors (4 papers). Valentine Saasa is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (8 papers), Advanced Chemical Sensor Technologies (6 papers) and Analytical Chemistry and Sensors (4 papers). Valentine Saasa collaborates with scholars based in South Africa, Taiwan and New Zealand. Valentine Saasa's co-authors include Bonex Mwakikunga, Mervyn Beukes, Thomas Malwela, M. P. Mokgotho, Yolandy Lemmer, Amos Adeleke Akande, Suprakas Sinha Ray, Jonathan Tersur Orasugh, Sanjaya Brahma and Chuan‐Pu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Materials Chemistry and Physics.

In The Last Decade

Valentine Saasa

10 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Valentine Saasa 291 291 151 81 46 10 419
Alassane Diouf 249 0.9× 162 0.6× 124 0.8× 51 0.6× 33 0.7× 10 400
Ines C. Weber 325 1.1× 308 1.1× 180 1.2× 83 1.0× 33 0.7× 15 409
Roberto H. Labrador 117 0.4× 193 0.7× 124 0.8× 62 0.8× 26 0.6× 12 413
Haihong Xu 187 0.6× 81 0.3× 56 0.4× 81 1.0× 43 0.9× 14 462
Erich D. Steinle 207 0.7× 110 0.4× 196 1.3× 115 1.4× 94 2.0× 8 449
P. Yáñez‐Sedeño 243 0.8× 122 0.4× 88 0.6× 36 0.4× 33 0.7× 16 387
M. M. Charithra 397 1.4× 76 0.3× 176 1.2× 46 0.6× 28 0.6× 15 494
Yulin Kong 305 1.0× 148 0.5× 126 0.8× 204 2.5× 15 0.3× 15 465
Sanjida Yeasmin 210 0.7× 158 0.5× 48 0.3× 83 1.0× 31 0.7× 19 420
Jakub Dvořák 155 0.5× 94 0.3× 84 0.6× 51 0.6× 18 0.4× 12 425

Countries citing papers authored by Valentine Saasa

Since Specialization
Citations

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

Fields of papers citing papers by Valentine Saasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentine Saasa

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