Riyad Ismail

2.7k total citations
68 papers, 2.1k citations indexed

About

Riyad Ismail is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Riyad Ismail has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Ecology, 21 papers in Environmental Engineering and 18 papers in Nature and Landscape Conservation. Recurrent topics in Riyad Ismail's work include Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (20 papers) and Spectroscopy and Chemometric Analyses (17 papers). Riyad Ismail is often cited by papers focused on Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (20 papers) and Spectroscopy and Chemometric Analyses (17 papers). Riyad Ismail collaborates with scholars based in South Africa, Sudan and Australia. Riyad Ismail's co-authors include Onisimo Mutanga, Kabir Peerbhay, Elhadi Adam, Elfatih M. Abdel‐Rahman, Fethi Ahmed, Nitesh Poona, Romano Lottering, Timothy Dube, Elhadi Adam and Denis Rugege and has published in prestigious journals such as Remote Sensing of Environment, Sensors and International Journal of Remote Sensing.

In The Last Decade

Riyad Ismail

67 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Riyad Ismail South Africa	27	1.5k	772	543	409	342	68	2.1k
Elhadi Adam South Africa	17	1.9k 1.3×	992 1.3×	972 1.8×	376 0.9×	263 0.8×	22	2.6k
Veraldo Liesenberg Brazil	25	1.3k 0.9×	1.1k 1.4×	539 1.0×	465 1.1×	165 0.5×	105	2.3k
Jan van Aardt United States	23	1.2k 0.8×	1.1k 1.4×	442 0.8×	409 1.0×	201 0.6×	107	2.1k
Elfatih M. Abdel‐Rahman Kenya	25	1.2k 0.8×	530 0.7×	556 1.0×	777 1.9×	264 0.8×	107	2.4k
Hannes Feilhauer Germany	33	1.7k 1.1×	569 0.7×	864 1.6×	386 0.9×	160 0.5×	84	2.6k
John Odindi South Africa	34	1.6k 1.0×	1.3k 1.7×	1.3k 2.3×	504 1.2×	247 0.7×	150	3.2k
Mbulisi Sibanda South Africa	26	1.2k 0.8×	659 0.9×	640 1.2×	502 1.2×	116 0.3×	111	2.1k
Yuhong He Canada	29	1.7k 1.1×	825 1.1×	849 1.6×	717 1.8×	391 1.1×	116	3.2k
Andreas Hueni Switzerland	23	1.3k 0.9×	766 1.0×	939 1.7×	278 0.7×	146 0.4×	84	2.2k
Aniruddha Ghosh United States	20	1.5k 1.0×	1.2k 1.6×	800 1.5×	258 0.6×	102 0.3×	39	2.6k

Countries citing papers authored by Riyad Ismail

Since Specialization

Citations

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

Fields of papers citing papers by Riyad Ismail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyad Ismail

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

Odebiri, Omosalewa, et al.. (2020). Estimating soil organic carbon stocks under commercial forestry using topo-climate variables in KwaZulu-Natal, South Africa. South African Journal of Science. 116(3/4). 26 indexed citations

Xulu, Sifiso, Kabir Peerbhay, Michael Gebreslasie, & Riyad Ismail. (2019). Unsupervised Clustering of Forest Response to Drought Stress in Zululand Region, South Africa. Forests. 10(7). 531–531. 11 indexed citations

Mafongoya, Paramu, et al.. (2019). Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa. Remote Sensing. 11(3). 278–278. 20 indexed citations

Mutanga, Onisimo, et al.. (2018). Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery. International Journal of Applied Earth Observation and Geoinformation. 74. 65–77. 59 indexed citations

Xulu, Sifiso, Kabir Peerbhay, Michael Gebreslasie, & Riyad Ismail. (2018). Drought Influence on Forest Plantations in Zululand, South Africa, Using MODIS Time Series and Climate Data. Forests. 9(9). 528–528. 36 indexed citations

Gebreslasie, Michael, et al.. (2017). A hybrid partial least squares and random forest approach to modelling forest structural attributes using multispectral remote sensing data. South African Journal of Geomatics. 6(3). 377–377. 7 indexed citations

Peerbhay, Kabir, Onisimo Mutanga, Romano Lottering, & Riyad Ismail. (2016). Unsupervised anomaly weed detection in riparian forest areas using hyperspectral data and LiDAR. 1–5. 4 indexed citations

Ismail, Riyad, et al.. (2016). Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol. Journal of Applied Remote Sensing. 10(4). 42002–42002. 18 indexed citations

Abdel‐Rahman, Elfatih M., Onisimo Mutanga, John Odindi, et al.. (2016). Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms. Computers and Electronics in Agriculture. 132. 21–33. 33 indexed citations

10.

Peerbhay, Kabir, Onisimo Mutanga, Romano Lottering, & Riyad Ismail. (2016). Mapping Solanum mauritianum plant invasions using WorldView-2 imagery and unsupervised random forests. Remote Sensing of Environment. 182. 39–48. 54 indexed citations

11.

Dube, Timothy, Onisimo Mutanga, Elfatih M. Abdel‐Rahman, Riyad Ismail, & Rob Slotow. (2015). Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets. International Journal of Remote Sensing. 36(14). 3751–3772. 48 indexed citations

12.

Abdel‐Rahman, Elfatih M., Onisimo Mutanga, John Odindi, et al.. (2014). A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data. Computers and Electronics in Agriculture. 106. 11–19. 72 indexed citations

13.

Abdel‐Rahman, Elfatih M., Onisimo Mutanga, Elhadi Adam, & Riyad Ismail. (2013). Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers. ISPRS Journal of Photogrammetry and Remote Sensing. 88. 48–59. 149 indexed citations

14.

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

15.

Poona, Nitesh & Riyad Ismail. (2012). Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks. 3371–3374. 6 indexed citations

16.

Abdel‐Rahman, Elfatih M., Fethi Ahmed, & Riyad Ismail. (2012). Random forest regression for sugarcane yield prediction based on Landsat TM derived spectral parameters. 1 indexed citations

17.

Ismail, Riyad, et al.. (2012). Discriminating the early stages of Fusarium circinatum infection in Pinus radiata seedlings using high spectral resolution data. SUNScholar (Stellenbosch University). 1 indexed citations

18.

Mutanga, Onisimo, et al.. (2012). Combining spectral and textural remote sensing variables using random forests: predicting the age ofPinus patulaforests in KwaZulu-Natal, South Africa. Journal of Spatial Science. 57(2). 193–211. 23 indexed citations

19.

Ismail, Riyad, Onisimo Mutanga, & Lalit Kumar. (2010). Modeling the Potential Distribution of Pine Forests Susceptible toSirex NoctilioInfestations in Mpumalanga, South Africa. Transactions in GIS. 14(5). 709–726. 49 indexed citations

20.

Ismail, Riyad & Onisimo Mutanga. (2009). A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa. International Journal of Applied Earth Observation and Geoinformation. 12. S45–S51. 101 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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