Faidess Mwale

25 total papers · 480 total citations
16 papers, 327 citations indexed

About

Faidess Mwale is a scholar working on Global and Planetary Change, Sociology and Political Science and Water Science and Technology. According to data from OpenAlex, Faidess Mwale has authored 16 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 8 papers in Sociology and Political Science and 4 papers in Water Science and Technology. Recurrent topics in Faidess Mwale's work include Flood Risk Assessment and Management (9 papers), Disaster Management and Resilience (8 papers) and Hydrology and Watershed Management Studies (4 papers). Faidess Mwale is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Disaster Management and Resilience (8 papers) and Hydrology and Watershed Management Studies (4 papers). Faidess Mwale collaborates with scholars based in Malawi, United Kingdom and Netherlands. Faidess Mwale's co-authors include Adebayo J. Adeloye, Rabee Rustum, Robert Šakić Trogrlić, Melanie Duncan, Grant Wright, Lindsay Beevers, Marc van den Homberg, Cosmo Ngongondo, Patrick Willems and Colin McQuistan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and International Journal of Disaster Risk Reduction.

In The Last Decade

Faidess Mwale

15 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Faidess Mwale 213 127 71 61 46 16 327
Muhammad Hussain 263 1.2× 85 0.7× 99 1.4× 94 1.5× 60 1.3× 13 362
Bikram Manandhar 250 1.2× 82 0.6× 114 1.6× 61 1.0× 59 1.3× 17 334
DE Groeve Tom 238 1.1× 122 1.0× 76 1.1× 34 0.6× 86 1.9× 28 358
Maurizio Tiepolo 159 0.7× 74 0.6× 62 0.9× 33 0.5× 34 0.7× 37 253
Phong Tran 218 1.0× 140 1.1× 61 0.9× 28 0.5× 37 0.8× 14 331
Yusuf Alizade Govarchin Ghale 205 1.0× 87 0.7× 92 1.3× 40 0.7× 62 1.3× 11 322
Daniel Werner Kull 224 1.1× 78 0.6× 130 1.8× 30 0.5× 70 1.5× 21 348
Jing Fu 189 0.9× 41 0.3× 73 1.0× 47 0.8× 46 1.0× 12 322
Temi Emmanuel Ologunorisa 202 0.9× 56 0.4× 48 0.7× 34 0.6× 74 1.6× 19 336
Yared Abayneh Abebe 159 0.7× 74 0.6× 47 0.7× 46 0.8× 62 1.3× 17 250

Countries citing papers authored by Faidess Mwale

Since Specialization
Citations

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

Fields of papers citing papers by Faidess Mwale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faidess Mwale

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