| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 242 | 93 | 162 | 28 |
Building Simulation generally zeroes in on subjects such as Airflow, Computational fluid dynamics, Ventilation (architecture), Simulation and Mechanics. Building Simulation explores issues in Airflow which can be linked to other research areas like Structural engineering and Thermal. Some problems in Computational fluid dynamics that were presented in the journal overlapped with concepts under Marine engineering and Meteorology.
The Meteorology works, particularly on Wind speed are tackled in the journal. Building Simulation focuses on Ventilation (architecture) but the discussions also offer insight into other areas such as Thermal comfort and Environmental engineering, Indoor air quality. Building Simulation facilitates discussions on Simulation that incorporate concepts from other fields like Energy (signal processing) and Air conditioning.
HVAC is the primary subject of Air conditioning works presented in the journal. Presentations on Mechanics include those discussing Turbulence, Flow (psychology) and Heat transfer.
Simulation, Architectural engineering, Ventilation (architecture), Thermal comfort and Airflow are the main subjects of interest in the most cited articles. While work presented in the journal publications provide substantial information on Simulation, it also covers topics in Probability distribution, Industrial engineering, Occupancy, Air conditioning and Energy (signal processing). Aside from investigating topics in Building design under Architectural engineering, the journal publications also explore concepts in Building simulation.
The topics of Computational fluid dynamics, Reliability engineering, Civil engineering, Daylight and Parametric statistics are the focal point of discussions in the journal. It addresses concerns in Computational fluid dynamics which are intertwined with other disciplines, such as Natural ventilation, Volumetric flow rate, Roof, Range (aeronautics) and Marine engineering. The Natural ventilation works featured in Building Simulation incorporate elements from Predictive modelling, Energy (signal processing), Data-driven and Mean absolute percentage error.
The research on Reliability engineering tackled can also make contributions to studies in the areas of Artificial neural network, Context (language use) and Building design. Some problems in Civil engineering that were presented in Building Simulation overlapped with concepts under Building envelope, Thermal comfort, HVAC and TRNSYS. The concepts on Parametric statistics presented in the journal can also apply to other research fields, including Control (management), Optimal design and Multi-objective optimization.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Building Simulation (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Building Simulation (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.27% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 54.55% of all publications and 18.18% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Unknown
(2022)Zhengtao Ai;Cheuk Ming Mak;Naiping Gao;Jianlei Niu
(2020)Cheng Fan;Da Yan;Fu Xiao;Ao Li
(2021)Xiqiang Wu;Xiaoning Zhang;Xinyan Huang;Fu Xiao
(2021)Unknown
(2022)Ao Li;Fu Xiao;Cheng Fan;Maomao Hu
(2021)Yuxin Wu;Hong Liu;Baizhan Li;Risto Kosonen;Risto Kosonen
(2021)Li Lan;Sarra Hadji;Lulu Xia;Zhiwei Lian
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