Malcolm Taberner

3.4k total citations
35 papers, 1.4k citations indexed

About

Malcolm Taberner is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Malcolm Taberner has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 21 papers in Ecology and 13 papers in Atmospheric Science. Recurrent topics in Malcolm Taberner's work include Remote Sensing in Agriculture (21 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Remote Sensing and LiDAR Applications (8 papers). Malcolm Taberner is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Remote Sensing and LiDAR Applications (8 papers). Malcolm Taberner collaborates with scholars based in Italy, United Kingdom and Germany. Malcolm Taberner's co-authors include B. Pinty, Nadine Gobron, Michel M. Verstraete, F. Sunar, Coşkun Özkan, Thomas Lavergne, J. Widlowski, Jean‐Luc Widlowski, Frédéric Mélin and Agostino Ferrara and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

Malcolm Taberner

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm Taberner Italy 21 940 839 446 360 145 35 1.4k
Chaoying He China 6 1.1k 1.2× 935 1.1× 433 1.0× 500 1.4× 126 0.9× 8 1.7k
Alexey Egorov United States 8 776 0.8× 913 1.1× 476 1.1× 261 0.7× 86 0.6× 10 1.3k
Elijah Ramsey United States 23 531 0.6× 842 1.0× 340 0.8× 243 0.7× 105 0.7× 64 1.4k
Gang Han China 5 1.1k 1.2× 913 1.1× 416 0.9× 492 1.4× 129 0.9× 9 1.7k
H.K. Zhang United States 5 782 0.8× 900 1.1× 462 1.0× 286 0.8× 85 0.6× 7 1.4k
Muhammad Hasan Ali Baig China 16 826 0.9× 610 0.7× 427 1.0× 310 0.9× 79 0.5× 36 1.3k
Michael A. Menarguez China 8 1.1k 1.1× 1.0k 1.2× 443 1.0× 468 1.3× 78 0.5× 9 1.7k
Shuai Xie China 13 1.0k 1.1× 851 1.0× 461 1.0× 440 1.2× 125 0.9× 25 1.6k
Qisheng Feng China 20 697 0.7× 853 1.0× 452 1.0× 547 1.5× 232 1.6× 49 1.6k
Catherine Ticehurst Australia 18 722 0.8× 721 0.9× 374 0.8× 241 0.7× 57 0.4× 58 1.5k

Countries citing papers authored by Malcolm Taberner

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Taberner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Taberner

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Taberner. A scholar is included among the top collaborators of Malcolm Taberner 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 Malcolm Taberner. Malcolm Taberner 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.
Land, Peter E., Trevor Bailey, Malcolm Taberner, et al.. (2018). A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour. Remote Sensing. 10(5). 695–695. 3 indexed citations
2.
Pinty, B., Ioannis Andredakis, M. Clerici, et al.. (2011). Exploiting the MODIS albedos with the Two-stream Inversion Package (JRC-TIP): 1. Effective leaf area index, vegetation, and soil properties. Journal of Geophysical Research Atmospheres. 116(D9). 74 indexed citations
3.
Pinty, B., J. Widlowski, Michel M. Verstraete, et al.. (2011). Snowy backgrounds enhance the absorption of visible light in forest canopies. Geophysical Research Letters. 38(6). n/a–n/a. 6 indexed citations
4.
Clerici, M., Michael Voßbeck, B. Pinty, et al.. (2010). Consolidating the Two-Stream Inversion Package (JRC-TIP) to Retrieve Land Surface Parameters From Albedo Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 3(3). 286–295. 20 indexed citations
5.
Gobron, Nadine & Malcolm Taberner. (2008). Landsat 7 Enhanced Thematic Mapper JRC-FAPAR Algorithm Theoretical Basis Document.
6.
Govaerts, Yves, Alessio Lattanzio, Malcolm Taberner, & B. Pinty. (2008). Generating global surface albedo products from multiple geostationary satellites. Remote Sensing of Environment. 112(6). 2804–2816. 43 indexed citations
7.
Gobron, Nadine, B. Pinty, Ophélie Aussedat, et al.. (2008). Uncertainty estimates for the FAPAR operational products derived from MERIS — Impact of top-of-atmosphere radiance uncertainties and validation with field data. Remote Sensing of Environment. 112(4). 1871–1883. 59 indexed citations
8.
Pinty, B., Thomas Lavergne, Michael Voßbeck, et al.. (2007). Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)‐Multiangle Imaging Spectroradiometer (MISR) albedo products. Journal of Geophysical Research Atmospheres. 112(D10). 70 indexed citations
9.
Verstraete, Michel M., Nadine Gobron, Ophélie Aussedat, et al.. (2007). An automatic procedure to identify key vegetation phenology events using the JRC-FAPAR products. Advances in Space Research. 41(11). 1773–1783. 41 indexed citations
10.
Robustelli, Monica, Mathias Disney, Thomas Lavergne, et al.. (2007). The RAMI On-line Model Checker (ROMC). Joint Research Centre (European Commission). 2 indexed citations
11.
Lavergne, Thomas, Thomas Kaminski, B. Pinty, et al.. (2006). Application to MISR land products of an RPV model inversion package using adjoint and Hessian codes. Remote Sensing of Environment. 107(1-2). 362–375. 60 indexed citations
12.
13.
Govaerts, Yves, B. Pinty, Malcolm Taberner, & Alessio Lattanzio. (2006). Spectral Conversion of Surface Albedo Derived From Meteosat First Generation Observations. IEEE Geoscience and Remote Sensing Letters. 3(1). 23–27. 27 indexed citations
14.
Gobron, Nadine, B. Pinty, Malcolm Taberner, et al.. (2005). Monitoring the photosynthetic activity of vegetation from remote sensing data. Advances in Space Research. 38(10). 2196–2202. 39 indexed citations
15.
Gobron, Nadine, Malcolm Taberner, B. Pinty, et al.. (2003). Meris Land Algorithm: Preliminary Validation Results. ESASP. 531. 3 indexed citations
16.
Maktav, Derya, et al.. (2000). MONITORING URBAN EXPANSION IN THE BÜYÜKÇEKMECE DISTRICT OF 8STANBUL USING SATELLITE DATA. 3 indexed citations
17.
Ferrara, Agostino, Giuseppe Mancino, Michele Pisante, et al.. (2000). Degradation processes in the Agri Basin: evaluating environmental sensitivity to desertification at basin scale.. 131–145. 13 indexed citations
18.
19.
Taberner, Malcolm, et al.. (1999). Passive microwave retrieval of ocean surface windspeeds for British coastal waters. IEEE Transactions on Geoscience and Remote Sensing. 37(5). 2578–2584. 2 indexed citations
20.
Harrison, Andrew R., et al.. (1996). Assessment of biophysical vegetation properties through spectral decomposition techniques. Remote Sensing of Environment. 56(3). 203–214. 20 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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