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Contribution of Chinese publications in computer science: A case study on LNCS

Author

Listed:
  • Ying He

    (Beijing University of Aeronautics and Astronautics)

  • Jiancheng Guan

    (Fudan University)

Abstract

Conference proceedings are one of the key communication channels in computer science. This paper aims to analyze the Chinese outputs in the context of conference papers in computer science through an exploration of the conference proceedings series book-Lecture Notes in Computer Science (LNCS) in the period of 1997–2005. Results indicate that: 1. The number of Chinese papers in LNCS keeps growing in the studied period; the share of Chinese papers in LNCS in recent years is much higher than that of Chinese SCI papers in the world; In sharp contrast with remarkable growth of the share of Chinese papers in LNCS, the share of SCI articles in top journals of computer science published by the scientists of mainland China is negligible during the same period. 2. Chinese researchers are more likely to collaborate with domestic fellows; 3. In spite of the increasing amounts of Chinese papers in LNCS, they receive only a few citations; 4. The articles are strikingly more cited by authors themselves and international authors’ citations are more than Chinese authors’ non-self-citations in the first three years after publication; 5. Based on the new indicator Impact Index (II) the authors proposed, the relative impact of Chinese articles in LNCS is increasing although the average impact of Chinese papers in LNCS is obviously less than that of the publications in LNCS in each year during the studied period.

Suggested Citation

  • Ying He & Jiancheng Guan, 2008. "Contribution of Chinese publications in computer science: A case study on LNCS," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 519-534, June.
    • Handle: RePEc:spr:scient:v:75:y:2008:i:3:d:10.1007_s11192-007-1781-1
    DOI: 10.1007/s11192-007-1781-1
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    References listed on IDEAS

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    2. B. M. Gupta & Avinash Kshitij & Charu Verma, 2011. "Mapping of Indian computer science research output, 1999–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 261-283, February.
    3. Peter Ingwersen & Birger Larsen & J. Carlos Garcia-Zorita & Antonio Eleazar Serrano-López & Elias Sanz-Casado, 2014. "Influence of proceedings papers on citation impact in seven sub-fields of sustainable energy research 2005–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1273-1292, November.
    4. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    5. Xiancheng Li & Wenge Rong & Haoran Shi & Jie Tang & Zhang Xiong, 2018. "The impact of conference ranking systems in computer science: a comparative regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 879-907, August.
    6. Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2022. "On computer science research and its temporal evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4913-4938, August.
    7. Federico Scarpa & Vincenzo Bianco & Luca A. Tagliafico, 2018. "The impact of the national assessment exercises on self-citation rate and publication venue: an empirical investigation on the engineering academic sector in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 997-1022, November.
    8. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2013. "Cluster methods for assessing research performance: exploring Spanish computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 571-600, December.

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