| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 764 | 18 | 25 | 6 |
The journal aims to foster the development of research in Linguistics, Artificial intelligence, Natural language processing, Literature and Digital humanities. It features Natural language processing research that overlaps with concepts in Word (computer architecture). Literature works presented in Digital Scholarship in the Humanities have a specific focus on Poetry.
The published articles tackle a plethora of topics, such as Artificial intelligence, Natural language processing, Information retrieval, Visualization and Data science. Artificial intelligence study tackled in the most cited publications is connected to the field of Data mining. In addition to Natural language processing research, the journal publications aim to explore topics under Attributive, Linguistics and Feature (machine learning).
Linguistics, Literature, Digital humanities, Artificial intelligence and Media studies are the subjects of interest in Digital Scholarship in the Humanities. Some problems in Linguistics that were presented in the journal overlapped with concepts under Period (music), Word (computer architecture) and Eye tracking. Drama and Poetry are all topics related to Literature research discussed.
It focuses on Digital humanities research which is adjacent to topics in Data science. The in-depth study on Artificial intelligence also explores topics in the intersecting field of Natural language processing.
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 Digital Scholarship in the Humanities (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 Digital Scholarship in the Humanities (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, 4.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.89% of all publications and 57.78% 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.
For those inspired by the diverse research topics covered in Digital Scholarship in the Humanities such as Linguistics, Artificial Intelligence, and Natural Language Processing, choosing a career path in this exciting field may be of interest. One potential path is in the area of teaching and education. Professional roles in education offer individuals the chance to go beyond theoretical understanding and focus on practical applications of digital humanities research. One such role could be a Special Education Teacher, who utilizes methods and theories from the field of digital humanities to create comprehensive and inclusive teaching methods. Becoming a Special Education Teacher involves obtaining relevant educational degrees, gaining valuable experience, and obtaining licensure in the state where one aims to teach. For those seeking specific guidance, the article on {how to become a special education teacher in Maine} may be particularly useful. Aside from roles in education, further career options in digital humanities research may include Data Scientist, Data Analyst, and Researcher in Artificial Intelligence, all offering the opportunity to delve more deeply into the various research topics previously discussed. Seeking such a career path not only contributes to the development of these fields but also drives innovation and pushes the boundaries of knowledge.
Thomas Lansdall-Welfare;Nello Cristianini
(2020)Dominique Labbé;Jacques Savoy
(2021)Ciyuan Peng;Jason J Jung
(2021)Curdin Derungs;Christian Sieber;Elvira Glaser;Robert Weibel
(2020)Jacques Savoy
(2021)Eero Hyvönen;Heikki Rantala
(2021)Paul Brown;Mark Eisen;Santiago Segarra;Alejandro Ribeiro
(2021)Almila Akdag Salah;Albert Ali Salah;Heysem Kaya;Metehan Doyran
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