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 |
---|---|---|---|---|---|---|
Michael Bowling | University of Alberta, Edmonton, Alberta, Canada | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Diego Calvenese | Free University of Bozen-Bolzano, Bolzano, Italy an … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Benjamin Doerr | École Polytechnique, Palaiseau, France | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Esra Erdem | Sabanci University, İstanbul, Turkey | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Piotr Faliszewski | AGH University of Science and Technology Faculty of … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Vibhav Gogate | The University of Texas at Dallas, Richardson, Texa … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Judy Goldsmith | University of Kentucky, Lexington, Kentucky, United … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Carla Gomes | Cornell University, Ithaca, New York, United States … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Marco Gori | University of Siena, Siena, Italy | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Gianluigi Greco | University of Calabria, Rende, Italy | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Antoniou Grigoris | University of Huddersfield, Huddersfield, United Kingdom | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Patrik Haslum | Australian National University, Canberra, Australia | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Malte Helmert | University of Basel, Basel, Switzerland | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Andreas Herzig | Toulouse Institute of Computer Science Research, To … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Wiebe van der Hoek | University of Liverpool, Liverpool, United Kingdom | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Holger Hoos | Leiden University, Leiden, Netherlands | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Christian Igel | University of Copenhagen, Copenhagen, Denmark | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Luca Iocchi | University of Rome La Sapienza, Roma, Italy | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Jonas Kvarnström | Linköping University, Linköping, Sweden | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
James Kwok | The Hong Kong University of Science and Technology, … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Maurizio Lenzerini | University of Rome La Sapienza, Roma, Italy | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Yves Lespérance | York University, Toronto, Ontario, Canada | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Maxim Likhachev | Carnegie Mellon University, Pittsburgh, Pennsylvani … | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Shixia Liu | Tsinghua University, Beijing, China | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 2022-01-06 |
Alessio Lomuscio | Imperial College London, London, United Kingdom | Associate Editors | Artificial Intelligence | Elsevier | 0004-3702 | 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. :-)