Affiliations based bibliometric analysis of publications on parkinson’s disease-Reference-Cited by-同舟云学术

Affiliations based bibliometric analysis of publications on parkinson’s disease

Published:2023-12-21 Issue:1 Volume:21 Page:
ISSN:1619-697X
Container-title:Computational Management Science
language:en
Short-container-title:Comput Manag Sci

Author:

Aleskerov Fuad,Khutorskaya Olga,Yakuba Viacheslav,Stepochkina Anna,Zinovyeva Ksenia

Publisher

Springer Science and Business Media LLC

Subject

Management Information Systems,Business, Management and Accounting (miscellaneous),Management Science and Operations Research,Statistics, Probability and Uncertainty

Link

https://link.springer.com/content/pdf/10.1007/s10287-023-00495-7.pdf

Reference17 articles.

1. Aleskerov F, Khutorskaya O, Yakuba V, Stepochkina A, Zinoveva K (2023) Network analysis of publications on studies of parkinson disease. Procedia Comput Sci 219:1380–1387

2. Aleskerov F, Khutorskaya O, Buldyaev A, Yamilov A (2018) Parkinson’s disease: network analysis of publications’ impact. In: 2018 7th international conference on computers communications and control (ICCCC). IEEE, pp 82–85

3. Aleskerov F, Shvydun S (2019) Stability and similarity in networks based on topology and nodes importance. In: Complex networks and their applications VII: volume 1 proceedings the 7th international conference on complex networks and their applications COMPLEX NETWORKS 2018, 7. Springer, pp 94–103

4. Aleskerov F, Yakuba V (2020) Matrix-vector approach to construct generalized centrality indices in networks. Available at SSRN 3597948

5. Bonacich P (1972) Factoring and weighting approaches to status scores and clique identification. J Math Sociol 2(1):113–120

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1. Editorial;Computational Management Science;2024-05-19