| Literature DB >> 35886630 |
Adriana Ana Maria Davidescu1,2, Margareta-Stela Florescu3, Liviu Cosmin Mosora4, Mihaela Hrisanta Mosora4, Eduard Mihai Manta5.
Abstract
The epidemic has forced the academic world, regardless of nation of origin, to unify to find a response to the economic and social difficulties we confront as quickly as possible. This paper investigates how academic performance in terms of scientific publications, especially during the pandemic period, may constitute the premises for boosting professional well-being. The analysis focuses on the researchers and professors of the Bucharest Academy of Economic Studies, analysing in a comparative way the academic performance during the pandemic as a fundamental side of their professional career. To do that, two samples of scientific publications collected between January 2020 and December 2021 were investigated. The first sample comprised 1411 documents indexed in the WoS database, while the second one was formed by 876 documents indexed in the Scopus database. All samples were published during the pandemic and have the university's affiliation. The empirical findings indicated that the pandemic has created a boost in the number and quality of medical publications for the professors at the Bucharest University of Economic Studies. They created new multidisciplinary teams (economics and medicine), strengthening and widening national and international collaborations.Entities:
Keywords: Bucharest University of Economic Studies; Scopus; Web of Science; bibliometric analysis; pandemics; research publications
Mesh:
Year: 2022 PMID: 35886630 PMCID: PMC9318057 DOI: 10.3390/ijerph19148779
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
An overview of the most relevant studies of research publications in a university-based approach.
| Authors | Method | Results |
|---|---|---|
| Martinez-Lopez, Merigo, Valenzuela-Fernandez, Nicolas (2018) [ | Bibliometric analysis on Scopus database of publications between 1967–2017 of European Journal of Marketing | British writers and institutions are the most productive in the European Journal of Marketing in the number of articles published. In the medium term, nations such as France, Germany, Italy, and Spain, should perform similarly to those of the United Kingdom. |
| Maharana, Bihari (2013) [ | Bibliometric evaluation of Sambalpur University’s scientific research output from 2007 to 2011. | Chemistry is the most popular research field, followed by Physics, Astronomy, Plant Science, Engineering. |
| Podsakoff, MacKenzie, Podsakoff, Bachrach (2008) [ | Bibliometric analysis of 30 journals of management between 1981–2004. | The most significant influences on university publications were university size, the number of PhDs given, research expenditures, and endowment assets. |
| Soytas (2021) [ | Bibliometric analysis | “COVID-19” and “older people” were the most often used terms, and they were significantly associated with “social isolation”, “dementia”, “mortality”, and “loneliness”. |
| Gaviria-Marian, Merigo, Popa (2018) [ | The technique consists of performance analysis and a Journal of Knowledge Management (JKM). | The United States and the United Kingdom are the most prolific authors in this magazine. |
| Siwach, Seema (2018) [ | The study aims to find out the publication trends in | Between 2001 and 2015, 2649 papers were published with 15,282 citations. Almost 47 percent of the university’s research was published in 10 journals. |
| Belter, Garcia, Livinski, Leon-Velarde, Weymouth, Glass (2019) [ | Web of Science papers with at least one author linked with a Peruvian institution between 1997–2016 | Between 1997 and 2016: the annual number of publications from Peru grew nine-fold; 66% of the publications included co-authors from the United States, 13% from the United Kingdom, 11% from Brazil, and 10% percent from Spain. 33% of the papers cited Universidad Peruana Cayetano Heredia (UPCH) as the primary research institution. |
| Zhou, Chen (2020) [ | Bibliometric analysis on | Nine thousand forty-three coronavirus publications were published in 1202 journals from 123 countries between 1 January 2000, and 17 March 2020. The United States provided the most articles, followed by China. |
Figure 1Top journals in both WoS and Scopus by the number of published papers.
Figure 2Distribution of journals in both databases by subject areas.
Main information of the documents. (a) WoS. (b) Scopus.
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| Sources (Journals, Books, etc) | 254 |
| Documents | 1411 |
| Average years from publication | 1.56 |
| Average citations per documents | 2.12 |
| Average citations per year per doc | 0.83 |
| References | 43,688 |
| Article | 800 |
| Book | 20 |
| Editorial material | 14 |
| Article, proceedings paper | 1 |
| Proceedings paper | 557 |
| Review | 19 |
| Keywords Plus (ID) | 1557 |
| Author’s Keywords (DE) | 4367 |
| Authors | 2141 |
| Author Appearances | 4326 |
| Authors of single-authored documents | 206 |
| Authors of multi-authored documents | 1935 |
| Documents per Author | 0.64 |
| Authors per Document | 1.55 |
| Co-Authors per Documents | 3.13 |
| Collaboration Index | 1.75 |
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| Sources (Journals, Books, etc) | 241 |
| Documents | 876 |
| Average years from publication | 1.45 |
| Average citations per documents | 4.14 |
| Average citations per year per doc | 1.59 |
| References | 39,051 |
| Article | 691 |
| Book | 37 |
| Editorial material | 11 |
| Article, proceedings paper | 121 |
| Review | 16 |
| Keywords Plus (ID) | 2039 |
| Author’s Keywords (DE) | 2838 |
| Authors | 2889 |
| Author Appearances | 5608 |
| Authors of single-authored documents | 89 |
| Authors of multi-authored documents | 2800 |
| Documents per Author | 113 |
| Authors per Document | 3.41 |
| Co-Authors per Documents | 6.62 |
| Collaboration Index | 3.81 |
Figure 3Twenty most productive sources. (a) WoS. (b) Scopus.
Figure 4Bradford’s Law. (a) WoS. (b) Scopus.
Most important sources. (a) WoS. (b) Scopus.
| Source | H-Index | G-Index | M-Index | TC | NP | PY_Start |
|---|---|---|---|---|---|---|
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| 12 | 19 | 4 | 919 | 93 | 2020 |
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| 9 | 13 | 4.5 | 648 | 72 | 2020 |
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| 7 | 10 | 2.33 | 162 | 40 | 2020 |
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| 6 | 9 | 2 | 162 | 40 | 2020 |
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| 5 | 8 | 1.66 | 77 | 16 | 2020 |
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| 5 | 10 | 1.66 | 105 | 12 | 2020 |
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| 5 | 9 | 1.66 | 103 | 14 | 2020 |
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| 4 | 5 | 1.33 | 65 | 29 | 2020 |
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| 4 | 6 | 1.33 | 47 | 6 | 2020 |
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| 4 | 6 | 1.13 | 76 | 9 | 2021 |
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| 11 | 17 | 3.66 | 559 | 84 | 2020 |
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| 10 | 12 | 3.33 | 472 | 73 | 2020 |
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| 8 | 11 | 2.66 | 142 | 14 | 2020 |
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| 5 | 9 | 1.66 | 132 | 31 | 2020 |
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| 5 | 7 | 1.66 | 69 | 14 | 2020 |
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| 5 | 8 | 1.66 | 73 | 14 | 2020 |
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| 4 | 5 | 1.33 | 69 | 26 | 2020 |
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| 4 | 10 | 1.3 | 120 | 10 | 2020 |
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| 4 | 7 | 1.33 | 56 | 9 | 2020 |
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| 3 | 7 | 1 | 72 | 7 | 2020 |
Most important papers. (a) WoS. (b) Scopus.
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| CEPOI CO, 2020, FINANC RES LETT | 88 |
| FONSECA LM, 2020, SUSTAINABILITY-BASEL | 86 |
| BRATIANU C, 2020, KYBERNETES | 53 |
| BUTU A, 2020, INT J ENV RES PUB HE | 49 |
| KLIESTIK T, 2020, OECON COPERNIC | 45 |
| GHERGHINA SC, 2020, SUSTAINABILITY-BASEL | 38 |
| BRATIANU C, 2020, SUSTAINABILITY-BASEL | 34 |
| PELAU C, 2021, COMPUT HUM BEHAV | 30 |
| TARTAVULEA CV, 2020, AMFITEATRU ECON | 29 |
| RADULESCU CV, 2021, SUSTAINABILITY-BASEL | 28 |
| BRATIANU C, 2020, MANAG MARK-a | 27 |
| DAVIDESCU AA, 2020, SUSTAINABILITY-BASEL | 25 |
| SALARI M, 2020, J AIR TRANSP MANAG | 25 |
| VATAMANESCU EM, 2020, J KNOWL MANAG | 25 |
| DING LL, 2020, OCEAN COAST MANAGE | 24 |
| ARMEANU DS, 2021, RENEW SUST ENERG REV | 22 |
| SERBAN AC, 2020, IEEE ACCESS | 22 |
| GHERGHINA SC, 2020, INT J ENV RES PUB HE | 21 |
| VASILESCU MD, 2020, PLOS ONE | 21 |
| DING LL, 2020, J CLEAN PROD | 21 |
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| SORIANO JB, 2020, LANCET RESPIR MED | 316 |
| KLIESTIK T, 2020, ECON MANAG FINANCIAL MARK | 98 |
| HAILE LM, 2021, LANCET | 89 |
| KLIESTIK T, 2020, OECON COPERNIC | 88 |
| CEPOI CO, 2020, FINAN RES LETT | 81 |
| PELAU C, 2021, COMPUT HUM BEHAV | 71 |
| BUTU A, 2020, INT J ENVIRON RES PUBLIC HEALTH | 62 |
| GHERGHINA SC, 2020, SUSTAINABILITY | 57 |
| JAMES SL, 2020, INJURY PREV-a | 49 |
| BRATIANU C, 2020, KYBERNETES | 43 |
| DAVIDESCU AA, 2020, SUSTAINABILITY | 42 |
| TARTAVULEA CV, 2020, AMFITEATRU ECON | 40 |
| ANDREI JV, 2020, J BUS ECON MANAGE | 32 |
| SERBAN AC, 2020, IEEE ACCESS | 32 |
| ANDRONICEANU A, 2020, ADM MANAGE PUBLIC-a | 31 |
| BRATIANU C, 2020, SUSTAINABILITY | 28 |
| GHERGHINA C, 2020, INT J ENVIRON RES PUBLIC HEALTH | 26 |
| DING LL, 2020, J CLEAN PROD | 26 |
| ARMEANU DS, 2021, RENEWABLE SUST ENERGY REV | 25 |
| SALARI M, 2020, J AIR TRANSP MANAGE | 25 |
Figure 5Most relevant authors by the number of documents. (a) WoS. (b) Scopus.
Figure 6Most frequent keywords in the abstracts of publications. (a) WoS. (b) Scopus.
Figure 7Three field plots. (a) WoS. (b) Scopus.
Figure 8Most frequent keywords in abstracts of publications. (a) WoS. (b) Scopus.
Figure 9Authors’ clustering by coupling. (a) WoS. (b) Scopus.
Figure 10Papers’ clustering by coupling. (a) WoS. (b) Scopus.
Figure 11Conceptual structure map of Bucharest University of Economic Studies researchers. (a) WoS. (b) Scopus.
Figure 12Cooccurrence network analysis on authors’ keywords. (a) WoS. (b) Scopus.
Figure 13Co-citation network analysis on authors. (a) WoS. (b) Scopus.
Figure 14Co-citation network analysis on paper. (a) WoS. (b) Scopus.
Figure 15Cooccurrence network analysis in journals. (a) WoS. (b) Scopus.
Figure 16Collaborative network of countries. (a) WoS. (b) Scopus.
Figure 17Authors collaboration network. (a) WoS. (b) Scopus.
Figure 18Institution’s collaboration network. (a) WoS. (b) Scopus.