| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 837 | 13 | 17 | 5 |
The main points discussed in the journal deals with Accounting, Artificial intelligence, Pedagogy, Computer network and Context (language use).
The journal publications cover a variety of subjects, including World Wide Web, Pedestrian, Simulation, Artificial intelligence and Probabilistic logic. The most cited publications focus on World Wide Web but the discussions also offer insight into other areas such as Care of the elderly, Medical education, Affective computing, Set (psychology) and Semantics. The published articles in Neural network design fall within the purview of Artificial intelligence but it also intertwines with topics in State of art.
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 Intelligenza Artificiale (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 Intelligenza Artificiale (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, 51.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.36% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 31.06% of all publications and 40.91% 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 interesting aspect to consider after this thorough analysis of Intelligenza Artificiale journal is potential career paths that authors might choose upon publishing their research. This may vary from continuing an academic career to transitioning into industry positions or opting for teaching roles. One of such rewarding career options is becoming a Private School Teacher in the state of Texas. In this role, the educator is not merely delivering the curriculum, but fostering a love of learning in students. Educators can utilize their rich research background in the delivery of subjects like Artificial Intelligence, Pedagogy, or Computer Networking, which are also key topics of exploration in this journal. Detailed private school teacher requirements texas are comprehensively discussed on our site for authors considering a transition into education. This sustainable career path offers the opportunity to enrich younger generations with the knowledge gained from extensive research and study. In conclusion, the career paths that authors decide to follow after publishing their research can be as diverse as the research topics they explore. Whether it's continuing academia, pivoting to other industries or stepping into the crucial role of educators, these decisions are instrumental in shaping the authors' professional journeys while substantially impacting the broader community as well.
Roberta Calegari;Giovanni Ciatto;Andrea Omicini
(2020)Vito Walter Anelli;Yashar Deldjoo;Tommaso Di Noia;Antonio Ferrara
(2021)Emanuele Albini;Pietro Baroni;Antonio Rago;Francesca Toni
(2021)Danilo Croce;Giuseppe Castellucci;Roberto Basili
(2021)Luca Oneto
(2020)Daniele Di Sarli;Claudio Gallicchio;Alessio Micheli
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