| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 713 | 20 | 25 | 7 |
Journal of Web Engineering facilitates discussions on World Wide Web, Meteorology, Structural engineering, Information retrieval and Mechanics. The journal tackles issues in World Wide Web, particularly in the topics of Web modeling, Web service, Web page, Web application and Web navigation. Web modeling research presented in Journal of Web Engineering encompasses a variety of subjects, including Web standards, Web design, Web development and Data Web.
The Web application study featured in it draws parallels with the field of Software engineering. Meteorology research presented is mostly focused on the subject of Wind speed. It focuses on Structural engineering but the discussions also offer insight into other areas such as Aerodynamics, Aeroelasticity and Flutter.
The majority of Mechanics studies presented zero in on Turbulence. The studies tackled, which mainly focus on Turbulence, apply to Wind tunnel as well.
World Wide Web, Web modeling, Information retrieval, Web page and Web design are the main subjects of interest in the most cited papers. The journal articles explore topics in World Wide Web which can be helpful for research in disciplines like Ontology (information science), Password and Identification (information). In addition to Web modeling research, the journal papers aim to explore topics under Web standards, Systems engineering and Data Web.
The journal is organized to address concerns in the fields of Artificial intelligence, Deep learning, Cluster analysis, Pattern recognition and Algorithm. Topics in Artificial intelligence were tackled in line with various other fields like Machine learning, Layer (object-oriented design) and Natural language processing. Topics in Deep learning explored in Journal of Web Engineering were investigated in conjunction with research in Cloud computing, Convolutional neural network, Computer vision and Set (psychology).
The study on Cluster analysis presented in the journal intersects with subjects under the field of Information retrieval. Recommender system is a major topic of Information retrieval research presented in it. The concepts on Pattern recognition presented in the journal can also apply to other research fields, including Frame (networking) and Structure (mathematical logic).
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 Web 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 Web 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 2021 edition, 19.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 4.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.04% of all publications and 81.16% 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.
An essential aspect of publishing in scientific journals is the time frame from submission to the actual publication. This metric could be significant for researchers, as it affects the timeliness of research output. Furthermore, due to the accelerating pace of innovation across disciplines, it becomes important to see how swiftly the research is being propagated. The Journal of Web Engineering generally follows a rigorous and systematic review process to maintain the quality of the research being published. Although these timescales can vary depending on a multitude of factors including the complexity of the research, availability of peer-reviewers, etc., it might still be beneficial to have an average turnaround time and understand the standard timeframe for publication in the journal. The information about average submission to publication time can offer valuable insights for researchers contemplating submitting their works to this journal. While this would provide an approximation, the actual processing time for each paper can vary. For more details about the submission, review, and publication process, prospective authors are recommended to refer to the journal's submission guidelines available on their official website. For those interested in exploring opportunities within academia, it's relevant to understand the career trajectory and the steps involved in becoming an educator, for instance, learning how to become an elementary school teacher in New Hampshire. Such information can help in making informed career decisions based on the broader understanding of research, publishing, and academia.
Jesús Morán;Cristian Augusto;Antonia Bertolino;Claudio De La Riva
(2020)Yi Xie;Yulin Wang;Maode Ma
(2020)Florian Daniel;Andrea Millimaggi
(2020)Emad Badawi;Guy-Vincent Jourdan;Gregor von Bochmann;Iosif-Viorel Onut
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