Data in support of mussel journal papers and funded by NSF EAR 1659909

Keyword(s):  
1989 ◽  
Vol 16 (4) ◽  
pp. 234-238
Author(s):  
Ming-yueh Tsay

In a bibliometric study of references to indexing and abstracting from 1876 to 1976 a total of 2,381 references in Wellisch’s Indexing and abstracting: an international bibliography were analysed by a PL/1 program. Most of the articles (67%) appeared as journal papers. The Bradford-Zipf law was applied to investigate the journal literature. Thirteen core journals were identified, six of which emphasize the subject of indexing and abstracting. Lotka’s law was used to measure the productivity of authors. The vast majority, 1,533 out of 1,966 authors, contributed only one article. The leading authors and their active life in this subject were also studied. English is the predominant language of articles on indexing and abstracting.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sara Gusmao Brissi ◽  
Oscar Wong Chong ◽  
Luciana Debs ◽  
Jiansong Zhang

PurposeThe purpose is two-fold: (1) to explore the interactions of robotic systems and lean construction in the context of offsite construction (OC) that were addressed in the literature published between 2008 and 2019 and (2) to identify the gaps in such interactions while discussing how addressing those gaps can benefit not only OC but the architecture, engineering and construction (AEC) industry as a whole.Design/methodology/approachFirst, a systematic literature review (SLR) identified journal papers addressing the interactions of automation and lean in OC. Then, the researchers focused the analysis on the under-researched subtopic of robotic systems. The focused analysis includes discussing the interactions identified in the SLR through a matrix of interactions and utilizing literature beyond the previously identified articles for future research directions on robotic systems and lean construction in OC.FindingsThe study found 35 journal papers that addressed automation and lean in the context of OC. Most of the identified literature focused on interactions of BIM and lean construction, while only nine focused on the interactions of robotic systems and lean construction. Identified literature related to robotic systems mainly addressed robots and automated equipment. Additional interactions were identified in the realm of wearable devices, unmanned aerial vehicles/automated guided vehicles and digital fabrication/computer numerical control (CNC) machines.Originality/valueThis is one of the first studies dedicated to exploring the interactions of robotic systems and lean construction in OC. Also, it proposes a categorization for construction automation and a matrix of interactions between construction automation and lean construction.


2019 ◽  
Vol 120 (3) ◽  
pp. 1461-1473 ◽  
Author(s):  
Pei-Shan Chi ◽  
Juan Gorraiz ◽  
Wolfgang Glänzel
Keyword(s):  

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 395 ◽  
Author(s):  
Robin Haunschild

This bibliometric study presents the most influential cited references for papers published in the journal Information by using reference publication year spectroscopy (RPYS). A total of 30,960 references cited in 996 papers in the journal Information, published between 2012 and 2019, were analyzed in this study. In total, 29 peaks with 48 peak papers are presented and discussed. The most influential cited references are related to set theory and machine learning which is consistent with the scope of the journal. A single peak paper was published in the journal Information. Overall, authors publishing in the journal Information have drawn from many different sources (e.g., journal papers, books, book chapters, and conference proceedings).


Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1826 ◽  
Author(s):  
Wilfried van Sark

This editorial summarizes the collection of papers in the Special Issue entitled Photovoltaic System Design and Performance, which was published in MDPI’s Energies journal. Papers on this topic were submitted in 2017 and 2018, and a total of 21 papers were published. Main topics included data analysis for optimal performance and fault analysis, causes for energy loss, and design and integration issues. The papers in this Special Issue demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure maintaining good performance.


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