Clement Adjorlolo

631 total citations · 1 hit paper
28 papers, 490 citations indexed

About

Clement Adjorlolo is a scholar working on Ecology, Ecological Modeling and Plant Science. According to data from OpenAlex, Clement Adjorlolo has authored 28 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 10 papers in Ecological Modeling and 7 papers in Plant Science. Recurrent topics in Clement Adjorlolo's work include Remote Sensing in Agriculture (20 papers), Species Distribution and Climate Change (10 papers) and Leaf Properties and Growth Measurement (6 papers). Clement Adjorlolo is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Species Distribution and Climate Change (10 papers) and Leaf Properties and Growth Measurement (6 papers). Clement Adjorlolo collaborates with scholars based in South Africa, Greece and Italy. Clement Adjorlolo's co-authors include Onisimo Mutanga, Moses Azong Cho, Mahlatse Kganyago, Paidamwoyo Mhangara, Riyad Ismail, John Odindi, Elhadi Adam, Elfatih M. Abdel‐Rahman, Jane Mukarugwiza Olwoch and Thomas Alexandridis and has published in prestigious journals such as International Journal of Remote Sensing, Remote Sensing and Ecological Modelling.

In The Last Decade

Clement Adjorlolo

27 papers receiving 477 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture

2024 49 citations Mahlatse Kganyago, Clement Adjorlolo et al. profile →

Peers

Clement Adjorlolo

ECOLO

GPC

Thomas Astor Germany

Karen Castro-Esau Canada

John Miller Canada

Haidi Abdullah Netherlands

E. Frazzi Italy

Abebe Mohammed Ali Netherlands

G. L. Anderson United States

Langning Huo Sweden

Ashikur Rahman Bangladesh

Ulrike Lussem Germany

Thomas Astor Germany

Clement Adjorlolo

399 ×1.0

ECOLO

229 ×1.6

157 ×1.3

84 ×0.8

121 ×1.2

GPC

Citations per year, relative to Clement Adjorlolo Clement Adjorlolo (= 1×) peers Thomas Astor

Countries citing papers authored by Clement Adjorlolo

Since Specialization

Citations

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

Fields of papers citing papers by Clement Adjorlolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clement Adjorlolo

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

All Works

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20 of 20 papers shown

N’Danikou, Sognigbé, Peter O. Aikpokpodion, Clement Adjorlolo, Lindiwe Majele Sibanda, & Luigi Guarino. (2025). Science for Africa’s future food security: necessary steps to incorporate African vegetable biodiversity in food security. Food Security.

Kganyago, Mahlatse, Clement Adjorlolo, & Paidamwoyo Mhangara. (2024). Optimizing Sentinel-2 feature space for improved crop biophysical and biochemical variables retrieval using the novel spectral triad feature selection algorithm. Geocarto International. 39(1). 2 indexed citations

Kganyago, Mahlatse, et al.. (2023). Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters. GIScience & Remote Sensing. 60(1). 6 indexed citations

Kganyago, Mahlatse, Clement Adjorlolo, Mbulisi Sibanda, et al.. (2022). Testing Sentinel-2 spectral configurations for estimating relevant crop biophysical and biochemical parameters for precision agriculture using tree-based and kernel-based algorithms. Geocarto International. 38(1). 1–25. 4 indexed citations

Kganyago, Mahlatse, Clement Adjorlolo, & Paidamwoyo Mhangara. (2022). Exploring Transferable Techniques to Retrieve Crop Biophysical and Biochemical Variables Using Sentinel-2 Data. Remote Sensing. 14(16). 3968–3968. 10 indexed citations

Kganyago, Mahlatse, et al.. (2020). Validation of atmospheric correction approaches for Sentinel-2 under partly-cloudy conditions in an African agricultural landscape. Zenodo (CERN European Organization for Nuclear Research). 9–9. 4 indexed citations

Adjorlolo, Clement, et al.. (2019). Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control. International Journal of Remote Sensing. 40(15). 5917–5937. 5 indexed citations

Olwoch, Jane Mukarugwiza, et al.. (2018). Evaluating Efficacy of Landsat-Derived Environmental Covariates for Predicting Malaria Distribution in Rural Villages of Vhembe District, South Africa. EcoHealth. 15(1). 23–40. 9 indexed citations

Adjorlolo, Clement, et al.. (2018). Mapping the spatial distribution of Lippia javanica (Burm. f.) Spreng using Sentinel-2 and SRTM-derived topographic data in malaria endemic environment. Ecological Modelling. 392. 147–158. 11 indexed citations

10.

Odindi, John, et al.. (2018). Evaluating the potential of the red edge channel for C3 (Festuca spp.) grass discrimination using Sentinel-2 and Rapid Eye satellite image data. Geocarto International. 34(10). 1123–1143. 22 indexed citations

11.

Leal, Manoel Regis Lima Verde, et al.. (2016). Sugarcane: a way out of energy poverty. Biofuels Bioproducts and Biorefining. 10(4). 393–408. 6 indexed citations

12.

Adjorlolo, Clement, et al.. (2015). Integration of remote sensing and conventional models for modeling grazing/browsing capacity in southern African savannas. Journal of Applied Remote Sensing. 9(1). 96041–96041. 4 indexed citations

13.

Mutanga, Onisimo, Elhadi Adam, Clement Adjorlolo, & Elfatih M. Abdel‐Rahman. (2014). Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test dataset. International Journal of Applied Earth Observation and Geoinformation. 34. 178–187. 58 indexed citations

14.

Adjorlolo, Clement, Onisimo Mutanga, & Moses Azong Cho. (2014). Estimation of Canopy Nitrogen Concentration Across C3 and C4 Grasslands Using WorldView-2 Multispectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(11). 4385–4392. 27 indexed citations

15.

Adjorlolo, Clement & Onisimo Mutanga. (2013). Integrating remote sensing and geostatistics to estimate woody vegetation in an African savanna. Journal of Spatial Science. 58(2). 305–322. 16 indexed citations

16.

Adjorlolo, Clement, Onisimo Mutanga, Moses Azong Cho, & Riyad Ismail. (2012). Review Article Challenges and opportunities in the use of remote sensing for C 3 and C 4 grass species discrimination and mapping. African Journal of Range and Forage Science. 29(2). 1 indexed citations

17.

Adjorlolo, Clement, Onisimo Mutanga, Moses Azong Cho, & Riyad Ismail. (2012). Challenges and opportunities in the use of remote sensing for C₃and C₄grass species discrimination and mapping. African Journal of Range and Forage Science. 29(2). 47–61. 32 indexed citations

18.

Adjorlolo, Clement, Onisimo Mutanga, Moses Azong Cho, & Riyad Ismail. (2012). Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification. International Journal of Applied Earth Observation and Geoinformation. 21. 535–544. 42 indexed citations

19.

Adjorlolo, Clement, Moses Azong Cho, Onisimo Mutanga, & Riyad Ismail. (2012). Optimizing spectral resolutions for the classification of C3 and C4 grass species, using wavelengths of known absorption features. Journal of Applied Remote Sensing. 6(1). 63560–1. 29 indexed citations

20.

Mutanga, Onisimo & Clement Adjorlolo. (2008). Assessing the Spatial Patterns of Crop Damage by Wildlife using GIS. 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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