Searching for a Method to Optimize the Scientific Activities of the Institute Based on Bibliometric Analysis of Research Themes
Author:
Publisher
Allerton Press
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.3103/S0147688221020039.pdf
Reference11 articles.
1. Giffin, M., Highly productive and low-risk writing-off of documents from the fund of the university library, Nauchn. Tekh. Bibl., 2017, no. 5, pp. 49–62. https://doi.org/10.33186/1027-3689-2017-5-49-62
2. Soloshenko, N.S., Deep thematic indexing of documents in the acquisition system of the information center, Nauchn. Tekh. Bibl., 2019, no. 3, pp. 75–84. https://doi.org/10.33186/1027-3689-2019-3-75-84
3. Hoffman, S. and Godbey, S., US academic libraries' staffing and expenditure trends (1996–2016), Libr. Manage., 2020, vol. 41, nos. 4–5, pp. 247–268. https://doi.org/10.1108/LM-12-2019-0093
4. Wei, W., Miao, D., and Li, Y., A bibliometric profile of research on rough sets, in Rough Sets. IJCRS 2019, Mihálydeák, T., Ed., Lecture Notes in Computer Science, vol. 11499, Cham: Springer, 2019. https://doi.org/10.1007/978-3-030-22815-6_41
5. Porter, A.L., Kongthon, A., and Lu, J.-C., Research profiling: Improving the literature review, Scientometrics, 2002, artic. no. 351.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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