Sanga‐Ngoie Kazadi

426 total citations
22 papers, 321 citations indexed

About

Sanga‐Ngoie Kazadi is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Sanga‐Ngoie Kazadi has authored 22 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 10 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in Sanga‐Ngoie Kazadi's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (5 papers) and Climate variability and models (5 papers). Sanga‐Ngoie Kazadi is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (5 papers) and Climate variability and models (5 papers). Sanga‐Ngoie Kazadi collaborates with scholars based in Japan and Indonesia. Sanga‐Ngoie Kazadi's co-authors include Tatsuya Iwashima, Sayaka Yoshikawa, Ryōzaburō Yamamoto, Kotaro Iizuka, Yoshiharu Omura, Yoshio Yamaguchi, Ragil Widyorini, Shuichi Kawai, Atsuko Nonomura and K. Fukuyama and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Sensors and International Journal of Remote Sensing.

In The Last Decade

Sanga‐Ngoie Kazadi

21 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanga‐Ngoie Kazadi Japan 11 157 152 93 59 36 22 321
James P. Mudd United States 6 172 1.1× 193 1.3× 94 1.0× 37 0.6× 33 0.9× 7 313
Franck Ranera France 5 206 1.3× 173 1.1× 96 1.0× 101 1.7× 19 0.5× 7 378
Milton Smith United States 6 179 1.1× 114 0.8× 58 0.6× 76 1.3× 92 2.6× 9 373
Harón Abrahim Magalháes Xaud Brazil 10 207 1.3× 136 0.9× 68 0.7× 31 0.5× 76 2.1× 15 321
Alena Dostálová Austria 10 104 0.7× 199 1.3× 198 2.1× 61 1.0× 46 1.3× 22 325
Yaqing Gou China 8 229 1.5× 264 1.7× 217 2.3× 101 1.7× 32 0.9× 28 492
Alan Hanson Canada 10 184 1.2× 285 1.9× 80 0.9× 33 0.6× 39 1.1× 17 409
Jean-Paul Rudant France 9 115 0.7× 116 0.8× 129 1.4× 52 0.9× 11 0.3× 26 347
Sijan Sapkota United States 9 141 0.9× 267 1.8× 73 0.8× 79 1.3× 26 0.7× 12 395
Shannon Franks United States 10 250 1.6× 271 1.8× 151 1.6× 124 2.1× 44 1.2× 22 485

Countries citing papers authored by Sanga‐Ngoie Kazadi

Since Specialization
Citations

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

Fields of papers citing papers by Sanga‐Ngoie Kazadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanga‐Ngoie Kazadi. 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 Sanga‐Ngoie Kazadi. The network helps show where Sanga‐Ngoie Kazadi may publish in the future.

Co-authorship network of co-authors of Sanga‐Ngoie Kazadi

This figure shows the co-authorship network connecting the top 25 collaborators of Sanga‐Ngoie Kazadi. A scholar is included among the top collaborators of Sanga‐Ngoie Kazadi 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 Sanga‐Ngoie Kazadi. Sanga‐Ngoie Kazadi 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.
Omura, Yoshiharu, et al.. (2015). Yearly Variation of Acacia Plantation Forests Obtained by Polarimetric Analysis of ALOS PALSAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(11). 5294–5304. 10 indexed citations
2.
Kazadi, Sanga‐Ngoie, et al.. (2013). Vegetation dynamics of Zimbabwe investigated using NOAA-AVHRR NDVI from 1982 to 2006: a principal component analysis. International Journal of Remote Sensing. 34(19). 6764–6779. 12 indexed citations
3.
Kazadi, Sanga‐Ngoie, et al.. (2013). Application of InSAR and GIS Techniques to Ground Subsidence Assessment in the Nobi Plain, Central Japan. Sensors. 14(1). 492–509. 8 indexed citations
4.
Kazadi, Sanga‐Ngoie, et al.. (2012). State of Coral Reefs Management: Case Study of Okinawa Island, Japan. Journal of international business research. 11(3). 25. 1 indexed citations
5.
Kazadi, Sanga‐Ngoie, et al.. (2012). Estimating CO2 Sequestration by Forests in Oita Prefecture, Japan, by Combining LANDSAT ETM+ and ALOS Satellite Remote Sensing Data. Remote Sensing. 4(11). 3544–3570. 19 indexed citations
6.
Kazadi, Sanga‐Ngoie, et al.. (2012). Using locally captured climatic information for guiding local-level agriculturalists in Africa: a case study of Makonde district in Zimbabwe. Journal of Land Use Science. 9(2). 178–194. 7 indexed citations
7.
8.
Yoshikawa, Sayaka & Sanga‐Ngoie Kazadi. (2011). Deforestation and Expansion of the Agro-Pastoral Frontier in Mato Grosso, Brazil. National Remote Sensing Bulletin. 31(1). 27–35. 2 indexed citations
9.
Yoshikawa, Sayaka & Sanga‐Ngoie Kazadi. (2011). Deforestation dynamics in Mato Grosso in the southern Brazilian Amazon using GIS and NOAA/AVHRR data. International Journal of Remote Sensing. 32(2). 523–544. 21 indexed citations
10.
Kazadi, Sanga‐Ngoie, et al.. (2008). A comparative study of radiometric correction methods for optical remote sensing imagery: the IRCvs.other image‐based C‐correction methods. International Journal of Remote Sensing. 30(2). 285–314. 24 indexed citations
11.
Kazadi, Sanga‐Ngoie & Sayaka Yoshikawa. (2007). Spatial and temporal vegetation change in Southern Brazilian Amazon using GIS and NOAA /AVHRR data. AGU Spring Meeting Abstracts. 2007. 1 indexed citations
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Kazadi, Sanga‐Ngoie, et al.. (2004). Simulating the East African wildebeest migration patterns using GIS and remote sensing. African Journal of Ecology. 42(4). 355–362. 28 indexed citations
15.
Kazadi, Sanga‐Ngoie. (2003). GIS AND REMOTE-SENSING FOR HIGH-RESOLUTION MAPPING AND DIGITAL CARTOGRAPHIC DATABASE- BUILDING IN AFRICAN REMOTE AREAS. Kyoto University Research Information Repository (Kyoto University). 24(4). 247–269. 1 indexed citations
16.
Nonomura, Atsuko, Sanga‐Ngoie Kazadi, & K. Fukuyama. (2003). Devising a new Digital Vegetation Model for eco-climatic analysis in Africa using GIS and NOAA AVHRR data. International Journal of Remote Sensing. 24(18). 3611–3633. 9 indexed citations
17.
Kazadi, Sanga‐Ngoie, et al.. (1996). Interannual and long‐term climate variability over the Zaire River Basin during the last 30 years. Journal of Geophysical Research Atmospheres. 101(D16). 21351–21360. 36 indexed citations
18.
Kazadi, Sanga‐Ngoie. (1986). An Observational Study of Tropical Large-Scale Fields: Part I: Statistical Analyses of the Wind Components, Geopotential Height and Temperature. Journal of the Meteorological Society of Japan Ser II. 64(3). 391–408. 2 indexed citations
19.
Yamamoto, Ryōzaburō, et al.. (1985). An Estimate of Climatic Noise. Journal of the Meteorological Society of Japan Ser II. 63(6). 1147–1156. 5 indexed citations
20.
Yamamoto, Ryōzaburō, et al.. (1985). Climatic Jump: A Hypothesis in Climate Diagnosis. Journal of the Meteorological Society of Japan Ser II. 63(6). 1157–1160. 48 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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