The role of open code in scholarly Communication: A citation analysis in computational linguistics

  • Jiangen He
  • , Changyang Feng
  • , Wen Lou
  • , Bo Song
  • , Yizhou Zang

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper investigated 12 years of full-text papers published in two conferences of computational linguistics. We investigated open code behaviors among researchers and gain insights into the effects of open code on citations. We found that the percentage of open-code papers increased by nearly one-third between 2006 and 2017. The papers with open code have more citations than papers without open code on average for most of the years and our regression models suggested that open code has a significant predictive effect on citations. Our results show that open code can be an effective way to receive visibility and attention for scholarly communication.

Original languageEnglish
Pages165-171
Number of pages7
StatePublished - 2024
Event19th International Conference on Scientometrics and Informetrics, ISSI 2023 - Bloomington, United States
Duration: 2 Jul 20235 Jul 2023

Conference

Conference19th International Conference on Scientometrics and Informetrics, ISSI 2023
Country/TerritoryUnited States
CityBloomington
Period2/07/235/07/23

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