David Fairbairn

48 total papers · 968 total citations
18 papers, 528 citations indexed

About

David Fairbairn is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, David Fairbairn has authored 18 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 14 papers in Atmospheric Science and 9 papers in Global and Planetary Change. Recurrent topics in David Fairbairn's work include Soil Moisture and Remote Sensing (14 papers), Precipitation Measurement and Analysis (8 papers) and Meteorological Phenomena and Simulations (8 papers). David Fairbairn is often cited by papers focused on Soil Moisture and Remote Sensing (14 papers), Precipitation Measurement and Analysis (8 papers) and Meteorological Phenomena and Simulations (8 papers). David Fairbairn collaborates with scholars based in United Kingdom, France and Italy. David Fairbairn's co-authors include Stephen Pring, Andrew C. Lorenc, Adam Clayton, Neill E. Bowler, Jean‐Christophe Calvet, Clément Albergel, Alina Barbu, Jean‐François Mahfouf, Ian Roulstone and Simon Munier and has published in prestigious journals such as Monthly Weather Review, Quarterly Journal of the Royal Meteorological Society and Remote Sensing.

In The Last Decade

David Fairbairn

17 papers receiving 525 citations

Author Peers

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

Author Last Decade Papers Cites
David Fairbairn 383 373 249 88 54 18 528
J. L. Chang 321 0.8× 357 1.0× 150 0.6× 79 0.9× 36 0.7× 9 567
Junming Yang 246 0.6× 437 1.2× 118 0.5× 130 1.5× 37 0.7× 23 577
Jiun‐Huei Jang 221 0.6× 295 0.8× 101 0.4× 146 1.7× 97 1.8× 30 448
F. Bouyssel 445 1.2× 284 0.8× 346 1.4× 74 0.8× 109 2.0× 19 614
Silvia Puca 385 1.0× 254 0.7× 273 1.1× 161 1.8× 32 0.6× 39 567
Naira Chaouch 432 1.1× 382 1.0× 166 0.7× 95 1.1× 30 0.6× 19 590
Stefano Mariani 411 1.1× 425 1.1× 83 0.3× 70 0.8× 65 1.2× 29 612
Alina Barbu 301 0.8× 333 0.9× 287 1.2× 110 1.3× 28 0.5× 28 565
Henrique F. Duarte 245 0.6× 475 1.3× 117 0.5× 70 0.8× 10 0.2× 22 582
Vinit Sehgal 134 0.3× 349 0.9× 257 1.0× 228 2.6× 17 0.3× 18 537

Countries citing papers authored by David Fairbairn

Since Specialization
Citations

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

Fields of papers citing papers by David Fairbairn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fairbairn

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