Pius Z. Yanda

2.0k total citations
74 papers, 1.0k citations indexed

About

Pius Z. Yanda is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Sociology and Political Science. According to data from OpenAlex, Pius Z. Yanda has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 24 papers in Management, Monitoring, Policy and Law and 19 papers in Sociology and Political Science. Recurrent topics in Pius Z. Yanda's work include Rangeland Management and Livestock Ecology (15 papers), Conservation, Biodiversity, and Resource Management (11 papers) and Climate change impacts on agriculture (11 papers). Pius Z. Yanda is often cited by papers focused on Rangeland Management and Livestock Ecology (15 papers), Conservation, Biodiversity, and Resource Management (11 papers) and Climate change impacts on agriculture (11 papers). Pius Z. Yanda collaborates with scholars based in Tanzania, Sweden and Germany. Pius Z. Yanda's co-authors include Richard Y. M. Kangalawe, Henri E. Z. Tonnang, N.F. Madulu, Ladislaus Benedict Chang’a, Anders Hansson, Mathias Fridahl, P. K. T. Munishi, Simon Haikola, Agnes G. Mwakaje and Chipo Plaxedes Mubaya and has published in prestigious journals such as Scientific Reports, Climatic Change and Sustainability.

In The Last Decade

Pius Z. Yanda

67 papers receiving 933 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pius Z. Yanda Tanzania 19 317 212 179 174 156 74 1.0k
Ayansina Ayanlade Nigeria 21 490 1.5× 375 1.8× 116 0.6× 217 1.2× 163 1.0× 61 1.4k
Emma T. Liwenga Tanzania 14 202 0.6× 200 0.9× 118 0.7× 123 0.7× 141 0.9× 37 844
Amanda Palazzo Austria 18 343 1.1× 260 1.2× 125 0.7× 128 0.7× 113 0.7× 37 1.3k
Vincent Gitz France 19 450 1.4× 146 0.7× 114 0.6× 117 0.7× 80 0.5× 53 1.2k
Benjamin M. Gramig United States 17 339 1.1× 322 1.5× 189 1.1× 223 1.3× 160 1.0× 58 1.5k
Florent Baarsch Germany 6 393 1.2× 335 1.6× 112 0.6× 178 1.0× 243 1.6× 11 1.2k
Silvestre García de Jalón Spain 21 478 1.5× 209 1.0× 121 0.7× 113 0.6× 93 0.6× 39 1.2k
Malay Pramanik India 23 709 2.2× 136 0.6× 356 2.0× 153 0.9× 128 0.8× 72 1.6k
Carlo Fezzi United Kingdom 20 629 2.0× 86 0.4× 205 1.1× 81 0.5× 110 0.7× 37 1.6k
Cécile Godde Australia 17 286 0.9× 307 1.4× 356 2.0× 197 1.1× 84 0.5× 24 1.6k

Countries citing papers authored by Pius Z. Yanda

Since Specialization
Citations

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

Fields of papers citing papers by Pius Z. Yanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pius Z. Yanda. 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 Pius Z. Yanda. The network helps show where Pius Z. Yanda may publish in the future.

Co-authorship network of co-authors of Pius Z. Yanda

This figure shows the co-authorship network connecting the top 25 collaborators of Pius Z. Yanda. A scholar is included among the top collaborators of Pius Z. Yanda 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 Pius Z. Yanda. Pius Z. Yanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Yanda, Pius Z., et al.. (2025). The impact of natural gas development on the resilience of coastal social-ecological systems amid climate change in Mtwara, Tanzania. Marine Policy. 181. 106855–106855. 2 indexed citations
3.
Yanda, Pius Z., et al.. (2024). How do institutional frameworks influence socio-ecological systems? The case of natural gas development in Mtwara region, Tanzania. The Extractive Industries and Society. 19. 101473–101473. 1 indexed citations
4.
Yanda, Pius Z., et al.. (2024). Long-term effects of adding biochar to soils on organic matter content, persistent carbon storage, and moisture content in Karagwe, Tanzania. Scientific Reports. 14(1). 30565–30565. 5 indexed citations
5.
Yanda, Pius Z., et al.. (2024). Sustainable governance of natural gas exploration: A coastal forest ecosystem perspective. Business Strategy & Development. 7(3). 1 indexed citations
6.
Yanda, Pius Z., et al.. (2024). The influence of natural gas investments on coastal livelihoods in Lindi Region, Tanzania. Resources Policy. 91. 104881–104881.
7.
Boko, Michel, Anthony Nyong, Andrew K. Githeko, et al.. (2018). Africa Climate Change 2007: Impacts, Adaptation and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press eBooks. 71 indexed citations
8.
9.
Bird, Neil, Felix Asante, Simon Bawakyillenuo, et al.. (2016). Public spending on climate change in Africa. Experiences from Ethiopia, Ghana, Tanzania and Uganda.. Econstor (Econstor). 8 indexed citations
10.
Kangalawe, Richard Y. M., et al.. (2016). Climate change and variability impacts on agricultural production and livelihood systems in Western Tanzania. Climate and Development. 9(3). 202–216. 49 indexed citations
11.
Yanda, Pius Z., et al.. (2016). Pastoralism and Climate Change in East Africa. 4 indexed citations
12.
Yanda, Pius Z., et al.. (2015). Institutional Analysis for Climate Services Development and Delivery in Tanzania. BIBSYS Brage (BIBSYS (Norway)).
13.
Mwakaje, Agnes G., et al.. (2013). Assessing the Cost of Climate Change Adaptation and Mitigation by Smallholder Farmers in Tanzania: The Case of Kasulu District. 8(1). 83–101. 1 indexed citations
14.
Chang’a, Ladislaus Benedict, et al.. (2010). Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the South-western Highland of Tanzania. Journal of Geography and Regional Planning. 3(4). 66–72. 60 indexed citations
15.
Tonnang, Henri E. Z., Richard Y. M. Kangalawe, & Pius Z. Yanda. (2010). Predicting and mapping malaria under climate change scenarios: the potential redistribution of malaria vectors in Africa. Malaria Journal. 9(1). 111–111. 95 indexed citations
16.
Yanda, Pius Z., et al.. (2009). Peoples response to diminishing natural resource base in the Pare-Usambara area, North Eastern Tanzania. Scientific Research and Essays. 4(12). 1536–1542. 1 indexed citations
17.
Alagarswamy, G., Nathan Moore, Brent M. Lofgren, et al.. (2008). Food Production Impacts of Climate Change and Land Use Change in East Africa. AGUFM. 2008. 1 indexed citations
18.
Börjeson, Lowe, Dorothy L. Hodgson, & Pius Z. Yanda. (2008). Northeast Tanzania's Disappearing Rangelands : Historical Perspectives on Recent Land Use Change. The International Journal of African Historical Studies. 41(3). 523–556. 14 indexed citations
19.
Yanda, Pius Z. & P. K. T. Munishi. (2007). Hydrologic and land use/cover change analysis for the Ruvu River (Uluguru) and Sigi River (East Usambara) watersheds. 27 indexed citations
20.
Strömquist, Lennart, et al.. (1999). UTILIZING LANDSCAPE INFORMATION TO ANALYZE AND PREDICT ENVIRONMENTAL CHANGE : THE EXTENDED BASELINE PERSPECTIVE: TWO TANZANIAN EXAMPLES. AMBIO. 28(5). 436–443. 6 indexed citations

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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