| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 489 | 38 | 55 | 12 |
ACM Journal on Computing and Cultural Heritage primarily focuses on research topics in Cultural heritage, Artificial intelligence, World Wide Web, Multimedia and Context (language use). While it focused on Cultural heritage, it was also able to explore topics like Visual arts, Field (computer science), Storytelling, Visualization and Data science. In ACM Journal on Computing and Cultural Heritage, Computer graphics (images) and Human–computer interaction are investigated in conjunction with one another to address concerns in Visualization research.
ACM Journal on Computing and Cultural Heritage investigates Computer graphics (images) research which frequently intersects with Digitization. ACM Journal on Computing and Cultural Heritage explores topics in Artificial intelligence which can be helpful for research in disciplines like Pattern recognition, Computer vision and Natural language processing. ACM Journal on Computing and Cultural Heritage is mostly focused on Computer vision, specifically 3D reconstruction.
The studies on World Wide Web discussed can also contribute to research in the domains of Ontology (information science) and User experience design. ACM Journal on Computing and Cultural Heritage holds forums on Multimedia that merges themes from other disciplines such as Metadata and Usability.
The journal papers primarily focus on research topics in Cultural heritage, Multimedia, World Wide Web, Field (computer science) and Computer graphics (images). The journal papers address concerns in Cultural heritage which are intertwined with other disciplines, such as Exhibition, Conceptual framework, Representation (systemics), Visualization and Interactivity. The journal papers with studies in World Wide Web featured incorporate elements of Depiction and Visitor pattern.
The discussions in ACM Journal on Computing and Cultural Heritage mainly cover the fields of Cultural heritage, Visual arts, Artificial intelligence, World Wide Web and Human–computer interaction. The Cultural heritage works featured in the journal incorporate elements from Metadata, Interaction design, Identification (information), Space (commercial competition) and Data science. Many of the research works in Visual arts, specifically Painting, closely connected to disciplines like Dance notation.
Artificial intelligence research featured in ACM Journal on Computing and Cultural Heritage incorporates concerns from various other topics such as Focus (linguistics), Computer vision and Natural language processing. ACM Journal on Computing and Cultural Heritage dives deep in exploring the relationship between the study of World Wide Web and User experience design. It explores topics in Human–computer interaction which can be helpful for research in disciplines like Interactivity and Adventure.
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 ACM Journal on Computing and Cultural Heritage (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 ACM Journal on Computing and Cultural Heritage (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, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 38.71% of all publications and 32.26% 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.
As a contributor to the ACM Journal on Computing and Cultural Heritage, the knowledge and expertise gained can help pave the way for several exciting career opportunities. These could include roles as data scientists, artificial intelligence researchers, computer graphics designers, or multimedia specialists.
In addition to these tech-centric roles, contributors can also leverage their experience contributing to cultural heritage research to segue into other domains. For instance, a unique blend of technical skills and a keen interest in cultural heritage could lead to a career in teaching. Such a role enables individuals to inspire the next generation of researchers and thinkers.
If teaching aligns with your interests and you're curious about how to turn this opportunity into reality, it may be worthwhile to learn how to become a teacher in South Dakota with a bachelor's degree. This guidance could provide a roadmap from your current research path to a fulfilling teaching career, helping educate future scholars in the field of computing and cultural heritage.
Remember, the journey of education and research doesn't stop at a single publication – it opens up new avenues of learning and professional growth, preparing you for a diverse array of potentials in the future.
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