S. D. Tumbo

2.0k total citations
67 papers, 1.3k citations indexed

About

S. D. Tumbo is a scholar working on Ecology, Evolution, Behavior and Systematics, Soil Science and Plant Science. According to data from OpenAlex, S. D. Tumbo has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, Evolution, Behavior and Systematics, 16 papers in Soil Science and 16 papers in Plant Science. Recurrent topics in S. D. Tumbo's work include Climate change impacts on agriculture (16 papers), Agricultural Innovations and Practices (10 papers) and Water Quality Monitoring and Analysis (7 papers). S. D. Tumbo is often cited by papers focused on Climate change impacts on agriculture (16 papers), Agricultural Innovations and Practices (10 papers) and Water Quality Monitoring and Analysis (7 papers). S. D. Tumbo collaborates with scholars based in Tanzania, United States and Germany. S. D. Tumbo's co-authors include H. F. Mahoo, Boniface Mbilinyi, William M. Miller, J. D. Whitney, T. A. Wheaton, Masoud Salyani, Sixbert K. Mourice, Paul Heinemann, Frederick C. Kahimba and M. R. S. Mlozi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Sustainability.

In The Last Decade

S. D. Tumbo

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. D. Tumbo Tanzania 21 380 339 322 254 238 67 1.3k
Simón Cook Australia 21 352 0.9× 355 1.0× 237 0.7× 285 1.1× 163 0.7× 71 1.4k
H. F. Mahoo Tanzania 22 363 1.0× 234 0.7× 448 1.4× 405 1.6× 216 0.9× 61 1.4k
Delphine Leenhardt France 21 290 0.8× 166 0.5× 443 1.4× 303 1.2× 370 1.6× 48 1.3k
Wilfried Mirschel Germany 19 254 0.7× 166 0.5× 270 0.8× 284 1.1× 231 1.0× 62 1.1k
Noppol Arunrat Thailand 22 313 0.8× 209 0.6× 316 1.0× 452 1.8× 356 1.5× 62 1.4k
Cynthia Rosenzweig United States 14 541 1.4× 192 0.6× 406 1.3× 246 1.0× 494 2.1× 18 1.7k
Hatem Belhouchette France 21 371 1.0× 221 0.7× 320 1.0× 192 0.8× 295 1.2× 48 1.3k
S Lisson Australia 19 362 1.0× 167 0.5× 227 0.7× 277 1.1× 191 0.8× 61 1.1k
Mokhele Edmond Moeletsi South Africa 23 167 0.4× 174 0.5× 436 1.4× 235 0.9× 346 1.5× 72 1.4k
Sukanya Sereenonchai Thailand 21 265 0.7× 158 0.5× 283 0.9× 389 1.5× 307 1.3× 50 1.3k

Countries citing papers authored by S. D. Tumbo

Since Specialization
Citations

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

Fields of papers citing papers by S. D. Tumbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. D. Tumbo. 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 S. D. Tumbo. The network helps show where S. D. Tumbo may publish in the future.

Co-authorship network of co-authors of S. D. Tumbo

This figure shows the co-authorship network connecting the top 25 collaborators of S. D. Tumbo. A scholar is included among the top collaborators of S. D. Tumbo 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 S. D. Tumbo. S. D. Tumbo 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.
Machunda, Revocatus L., et al.. (2020). Theoretical and Experimental Performance Analysis of a Novel Domestic Biogas Burner. SHILAP Revista de lepidopterología. 2020. 1–9. 7 indexed citations
2.
Graef, Frieder, et al.. (2019). Modelling Rainfed Pearl Millet Yield Sensitivity to Abiotic Stresses in Semi-Arid Central Tanzania, Eastern Africa. Sustainability. 11(16). 4330–4330. 9 indexed citations
3.
Tumbo, S. D., et al.. (2018). Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics. Applied and Environmental Soil Science. 2018. 1–10. 16 indexed citations
4.
Tumbo, S. D., et al.. (2017). Performance of Sorghum Varieties under Variable Rainfall in Central Tanzania. International Scholarly Research Notices. 2017. 1–10. 18 indexed citations
5.
Mahoo, H. F., et al.. (2017). Influence of gender on roles, choices of crop types and value chain upgrading strategies in semi-arid and sub-humid Tanzania. Food Security. 9(6). 1173–1187. 17 indexed citations
6.
Sanga, Camilius, M. R. S. Mlozi, Ruth Haug, & S. D. Tumbo. (2016). Mobile Learning Bridging the Gap in Agricultural Extension Service Delivery: Experiences from Sokoine University of Agriculture, Tanzania.. The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies). 12(3). 108–127. 11 indexed citations
7.
Sanga, Camilius, et al.. (2016). Experimenting open agricultural extension service in Tanzania: A case of Kilosa Open Data Initiative (KODI).
8.
Kipanyula, Maulilio J., Kadeghe G. Fue, M. R. S. Mlozi, et al.. (2016). Web and Mobile Phone Based Rabies Surveillance System for Humans and Animals in Kilosa District, Tanzania. RePEc: Research Papers in Economics. 8(2). 47–59. 2 indexed citations
9.
Dempewolf, Jan, Inbal Becker‐Reshef, Catherine Nakalembe, et al.. (2015). AgriSense-STARS: Advancing Methods of Agricultural Monitoring for Food Security in Smallholder Regions - the Case for Tanzania. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
10.
Mourice, Sixbert K., et al.. (2014). Maize Cultivar Specific Parameters for Decision Support System for Agrotechnology Transfer (DSSAT) Application in Tanzania. American Journal of Plant Sciences. 5(6). 821–833. 37 indexed citations
11.
Tumbo, S. D., et al.. (2013). Narrowing maize yield gaps under rain-fed conditions in Tanzania: Effect of small nitrogen dose. 8 indexed citations
12.
Tumbo, S. D., et al.. (2013). Identification of suitable indices for identification of potential sites for rainwater harvesting. 27 indexed citations
13.
Tumbo, S. D., Frederick C. Kahimba, Boniface Mbilinyi, et al.. (2012). IMPACT OF PROJECTED CLIMATE CHANGE ON AGRICULTURAL PRODUCTION IN SEMI-ARID AREAS OF TANZANIA: A CASE OF SAME DISTRICT. TSpace. 20(2). 453–463. 13 indexed citations
14.
Tumbo, S. D., et al.. (2011). Planning and costing agricultural adaptation to climate change in the pastoral livestock system of Tanzania. 1 indexed citations
15.
Tumbo, S. D., et al.. (2010). Macro-catchment rainwater harvesting systems: challenges and opportunities to access runoff. The Journal of Animal and Plant Sciences. 7(2). 789–800. 19 indexed citations
16.
Mbilinyi, Boniface, et al.. (2009). Identification of Potential Sites for Rainwater Harvesting Using Remote sensing and GIS in the Makanya River Catchment, Same District, Northern Tanzania. 25(25). 169–184. 7 indexed citations
17.
Kashaigili, Japhet J., et al.. (2006). Use of a hydrological model for environmental management of the Usangu Wetlands, Tanzania. UEA Digital Repository (University of East Anglia). 10 indexed citations
18.
Tumbo, S. D., David G. Wagner, & Paul Heinemann. (2002). HYPERSPECTRAL CHARACTERISTICS OF CORN PLANTS UNDER DIFFERENT CHLOROPHYLL LEVELS. Transactions of the ASAE. 45(3). 15 indexed citations
19.
Tumbo, S. D., et al.. (2001). On-the-go Sensing of Chlorophyll Status in Corn. 2001 Sacramento, CA July 29-August 1,2001. 1 indexed citations
20.
Wagner, David G. & S. D. Tumbo. (2000). <title>Hyperspectral compression-decompression using artificial neural networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4203. 1–12. 1 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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