Scott D. Noble

62 total papers · 1.3k total citations
44 papers, 878 citations indexed

About

Scott D. Noble is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Scott D. Noble has authored 44 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 13 papers in Ecology and 6 papers in Analytical Chemistry. Recurrent topics in Scott D. Noble's work include Remote Sensing in Agriculture (13 papers), Leaf Properties and Growth Measurement (11 papers) and Spectroscopy and Chemometric Analyses (6 papers). Scott D. Noble is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Leaf Properties and Growth Measurement (11 papers) and Spectroscopy and Chemometric Analyses (6 papers). Scott D. Noble collaborates with scholars based in Canada, United States and Israel. Scott D. Noble's co-authors include Anatoly A. Gitelson, Jean‐Baptiste Féret, Stéphane Jacquemoud, Ralph B. Brown, T.G. Crowe, Valerie Davidson, Christopher J. Stubbs, Daniel J. Robertson, David A. Torvi and Steven J. Shirtliffe and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Plant Science.

In The Last Decade

Scott D. Noble

42 papers receiving 851 citations

Hit Papers

PROSPECT-D: Towards model... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Scott D. Noble 581 467 242 181 138 44 878
T. Poblete 499 0.9× 413 0.9× 220 0.9× 210 1.2× 106 0.8× 36 885
Xianfeng Zhou 532 0.9× 452 1.0× 180 0.7× 140 0.8× 202 1.5× 42 834
Biwu Chen 484 0.8× 345 0.7× 101 0.4× 312 1.7× 177 1.3× 43 843
Muhammad Shakir 437 0.8× 190 0.4× 226 0.9× 208 1.1× 86 0.6× 34 758
Reddy Pullanagari 471 0.8× 300 0.6× 142 0.6× 238 1.3× 327 2.4× 44 1.0k
Jun Ni 388 0.7× 527 1.1× 90 0.4× 186 1.0× 137 1.0× 59 852
Yaxiao Niu 551 0.9× 444 1.0× 176 0.7× 316 1.7× 90 0.7× 22 837
Haimin Zheng 424 0.7× 283 0.6× 215 0.9× 292 1.6× 115 0.8× 23 857
M. P. Tuohy 378 0.7× 180 0.4× 194 0.8× 328 1.8× 136 1.0× 21 765
Muhammad Moshiur Rahman 337 0.6× 370 0.8× 142 0.6× 158 0.9× 93 0.7× 48 1.0k

Countries citing papers authored by Scott D. Noble

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott D. Noble

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

All Works

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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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