0887-3801
Published by: American Society of Civil Engineers (ASCE)
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 357 | 41 | 59 | 22 |
Artificial intelligence, Construction management, Operations research, Simulation and Artificial neural network are the subjects of interest in Journal of Computing in Civil Engineering. While work presented in it provided substantial information on Artificial intelligence, it also covered topics in Automation, Machine learning and Computer vision. Topics in Construction management explored in the journal were investigated in conjunction with research in Software engineering, Information management and Project management, Systems engineering.
The Operations research study featured in Journal of Computing in Civil Engineering draws parallels with the field of Decision support system.
The most cited papers are organized to address concerns in the fields of Construction management, Artificial intelligence, Operations research, Simulation and Artificial neural network. The studies on Artificial intelligence discussed at the most cited publications can also contribute to research in the domains of Machine learning, Software, Computer vision and Computer Applications. The most cited publications explore research in Algorithm and overlapping concepts in Mathematical optimization to expand the discourse in Artificial neural network.
The aim of Journal of Computing in Civil Engineering is to expand the discussion of research in Automation, Government sector, Bridge (interpersonal), Industry Foundation Classes and Construction engineering. Documentation and Information model are some topics wherein Automation research discussed in it have an impact.
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 Journal of Computing in Civil Engineering (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 Journal of Computing in Civil Engineering (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, 40.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% 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 33.33% of all publications and 33.33% 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.
Srinath Shiv Kumar;Mingzhu Wang;Dulcy M. Abraham;Mohammad R. Jahanshahi
(2020)Daeho Kim;SangHyun Lee;Vineet R. Kamat
(2020)Tanya Bloch;Rafael Sacks
(2020)Chris Sabillon;Abbas Rashidi;Biswanath Samanta;Mark A. Davenport
(2020)Yong-Cheol Lee;Michele Scarpiniti;Aurelio Uncini
(2020)Somin Park;Francis Baek;Jiu Sohn;Hyoungkwan Kim
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