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Pregled bibliografske jedinice broj: 1042951

A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management


Marzi, Giacomo; Caputo, Andrea; Garces Edwin; Dabić, Marina
A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management // Ieee transactions on engineering management, 67 (2020), 4-17 doi:10.1109/TEM.2018.2870648 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1042951 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management

Autori
Marzi, Giacomo ; Caputo, Andrea ; Garces Edwin ; Dabić, Marina

Izvornik
Ieee transactions on engineering management (0018-9391) 67 (2020); 4-17

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Bibliometrics, clustering methods. data mining , interviews, pattern clustering
(Bibliometrics , clustering methods. data mining , interviews, pattern clustering)

Sažetak
This paper offers a comprehensive overview of the IEEE Transactions on Engineering Management (IEEE TEM) from 1985 to 2017. This paper employs a mixed-method examination based on an in-depth interview with the new editor-in-chief regarding the challenges for the future of IEEE TEM, along with a bibliometric analysis of the journal. By using Web of Science Core Collection data, the analysis maps the knowledge produced and disseminated by IEEE TEM, revealing the most cited papers, the most frequently occurring keywords and the interconnection between them, the most prolific authors and their coauthorship network, and the most prolific countries for published articles. This paper also shows the main avenues of research covered by IEEE TEM and their evolution through the analysis of the correlation of keywords. This paper offers an example application of a mixed-method bibliometric analysis, seeking to extend the quantitative findings by including other sources of data.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Ekonomija



POVEZANOST RADA


Projekti:
067-0000000-3351 - Menadžerski alati u digitalnom poduzeću (Dabić, Marina, MZOS ) ( CroRIS)

Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Marina Dabić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Marzi, Giacomo; Caputo, Andrea; Garces Edwin; Dabić, Marina
A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management // Ieee transactions on engineering management, 67 (2020), 4-17 doi:10.1109/TEM.2018.2870648 (međunarodna recenzija, članak, znanstveni)
Marzi, G., Caputo, A., Garces Edwin & Dabić, M. (2020) A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management. Ieee transactions on engineering management, 67, 4-17 doi:10.1109/TEM.2018.2870648.
@article{article, author = {Marzi, Giacomo and Caputo, Andrea and Dabi\'{c}, Marina}, year = {2020}, pages = {4-17}, DOI = {10.1109/TEM.2018.2870648}, keywords = {Bibliometrics, clustering methods. data mining , interviews, pattern clustering}, journal = {Ieee transactions on engineering management}, doi = {10.1109/TEM.2018.2870648}, volume = {67}, issn = {0018-9391}, title = {A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management}, keyword = {Bibliometrics, clustering methods. data mining , interviews, pattern clustering} }
@article{article, author = {Marzi, Giacomo and Caputo, Andrea and Dabi\'{c}, Marina}, year = {2020}, pages = {4-17}, DOI = {10.1109/TEM.2018.2870648}, keywords = {Bibliometrics , clustering methods. data mining , interviews, pattern clustering}, journal = {Ieee transactions on engineering management}, doi = {10.1109/TEM.2018.2870648}, volume = {67}, issn = {0018-9391}, title = {A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management}, keyword = {Bibliometrics , clustering methods. data mining , interviews, pattern clustering} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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