Torben Skov Dyg Johansen
Personal Details
| First Name: | Torben |
| Middle Name: | Skov Dyg |
| Last Name: | Johansen |
| Suffix: | |
| RePEc Short-ID: | pjo456 |
| [This author has chosen not to make the email address public] | |
| https://torbensdjohansen.github.io/ | |
Affiliation
(50%) Institut for Økonomi
Syddansk Universitet
Odense, Denmarkhttps://www.sdu.dk/da/om_sdu/institutter_centre/oekonomiskinstitut
RePEc:edi:okioudk (more details at EDIRC)
(50%) Historical Economics and Development Group (HEDG)
Institut for Økonomi
Syddansk Universitet
Odense, Denmarkhttp://www.sdu.dk/ivoe/hedg
RePEc:edi:hdsdudk (more details at EDIRC)
Research output
Jump to: Working papersWorking papers
- Christian M. Dahl & Torben Johansen & Emil N. S{o}rensen & Simon Wittrock, 2021.
"HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition,"
Papers
2101.10862, arXiv.org, revised Mar 2022.
- Dahl, Christian M. & Johansen, Torben S.D. & Sørensen, Emil N. & Wittrock, Simon, 2023. "HANA: A handwritten name database for offline handwritten text recognition," Explorations in Economic History, Elsevier, vol. 87(C).
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Christian M. Dahl & Torben Johansen & Emil N. S{o}rensen & Simon Wittrock, 2021.
"HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition,"
Papers
2101.10862, arXiv.org, revised Mar 2022.
- Dahl, Christian M. & Johansen, Torben S.D. & Sørensen, Emil N. & Wittrock, Simon, 2023. "HANA: A handwritten name database for offline handwritten text recognition," Explorations in Economic History, Elsevier, vol. 87(C).
Cited by:
- Ferrara, Andreas, 2026.
"A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History,"
CAGE Online Working Paper Series
810, Competitive Advantage in the Global Economy (CAGE).
- Andreas Ferrara, 2026. "A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History," NBER Working Papers 35374, National Bureau of Economic Research, Inc.
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-BIG: Big Data (1) 2021-02-15. Author is listed
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