You can get the whole dataset in two *.csv-files at GitHub.
AND
,
OR
,
NOT
,
(brackets OR parentheses),
"quotation marks". Name | Affiliation | Role | Journal | Publisher | ISSN | Date |
---|---|---|---|---|---|---|
I. M. Hutchings | University of Cambridge Saint John's College, Cambr … | Editors Emeritus | Wear | Elsevier | 0043-1648 | 2022-01-06 |
P.H. Shipway | University of Nottingham, Nottingham, United Kingdom | Editors Emeritus | Wear | Elsevier | 0043-1648 | 2022-01-06 |
P. J. Blau | Blau Tribology Consulting, Enka, North Carolina, Un … | Editors Emeritus | Wear | Elsevier | 0043-1648 | 2022-01-06 |
K. Adachi | Tohoku University, Miyagi, Japan | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
A.T. Alpas | University of Windsor, Windsor, Ontario, Canada | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
T. H. C. Childs | University of Leeds School of Mechanical Engineerin … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
N. Espallargas | Norwegian University of Science and Technology, Tro … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
L. Fang | Xi'an Jiaotong University, Xi'an, China | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
C. Gachot | TU Wien University, Vienna, Austria | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
M. Lee | Southwest Research Institute, San Antonio, Texas, U … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
A.A. Lubrecht | National Institute of Applied Sciences of Lyon, Vil … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
S. Mischler | Federal Polytechnic School of Lausanne, Lausanne, S … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
A. Neville | University of Leeds, Leeds, United Kingdom | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
W. G. Sawyer | University of Florida, Gainesville, Florida, United … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
T. W. Scharf | University of North Texas, Denton, Texas, United St … | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
C.B. Solnordal | CSIRO Mineral Resources, Clayton, Australia | Editorial Board | Wear | Elsevier | 0043-1648 | 2022-01-06 |
Lisa Alexander, PhD | University of New South Wales, Sydney, New South Wa … | Editors-in-Chief | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Xuebin Zhang, Ph.D. | Environment and Climate Change Canada, Downsview, O … | Editors-in-Chief | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Mannava Sivakumar, PhD | World Meteorological Organization, Geneve, Switzerland | Founding Editor-in-Chief | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Alejandro Di Luca, PhD | University of Quebec in Montréal Department … | Associate Editors | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Chiyuan Miao, PhD | Beijing Normal University, Beijing, China | Associate Editors | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Sarah Perkins-Kirkpatrick, PhD | University of New South Wales Climate Change Resear … | Associate Editors | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Jana Sillmann, PhD | Center for International Climate Research, Oslo, Norway | Associate Editors | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Adelle Thomas, PhD | University of The Bahamas, Climate Change Adaptatio … | Associate Editors | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Thomas Deutschländer, PhD | German Meteorological Service Department of Climate … | Editorial Board | Weather and Climate Extremes | Elsevier | 2212-0947 | 2022-01-06 |
Open Editors collects publicly available information about the editors and editorial boards of scholarly journals through a technique called webscraping, whereby a script accesses the websites of the publishers to extract the relevant information. The codes (programmed in R) are available at GitHub.
Currently, only journals of the following 26 publishers were taken into account:
For more details, please see the paper which outlines the method and data sample with greater precision. It also discusses issues of diversity and intersectionality; of linking the dataset with PIDs (persistent identifiers) such as ORCID and ROR; and of current limitations regarding the scope and coverage of the data.
The whole data dump – two CSV-files of ca. 128 MB – is available at GitHub (in the "Output"-folder and the 2022-subfolder).
Open Editors is distributed under a Creative Commons-license (CC0). You can re-use the dataset or its codes freely. If you wish to attribute the original data-collection to Open Editors, you could perhaps include the following reference:
If you use the dataset, please let us know (via e-mail) so that we can add a link to your work here!
This project was made possible through a fellowship ("Freies Wissen") from Wikimedia Deutschland in 2020/21.
In addition, my other side-project OOIR (the Observatory of International Research) kindly provides the webspace for this project. :-)