| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Social Sciences and Humanities | 33 | 48 | 144 | 28 |
| Computer Science | 206 | 92 | 214 | 26 |
The journal focuses largely on the fields of Citation, Scientometrics, Social science, Data science and Citation analysis. Scientometrics facilitates discussions on Citation that incorporate concepts from other fields like Bibliometrics, Impact factor and Information retrieval. Scientometrics focused on works that combine different research areas such as Social science and Bibliometric analysis.
Scientometrics connects the study in Data science with the closely related area of Field (computer science). Some problems in Citation analysis that were presented in the journal overlapped with concepts under Scientific literature and Operations research.
The published articles aim to foster the development of research in Citation, Citation analysis, Social science, Data science and Bibliometrics. Impact factor and Information retrieval are some topics wherein Citation research discussed in the published papers has an impact. While the most cited publications focused on Bibliometrics, they were also able to explore topics like Context (language use) and Scientometrics.
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 Scientometrics (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 Scientometrics (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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:
One of the aspects that the article does not touch on is the professional applications and potential career pathways for those who are looking to venture into the field of Scientometrics or for researchers looking to steer their careers towards this discipline. Knowledge in Scientometrics could lead to various job opportunities, including data analysis, policy-making, and library services. Specific roles could range from Research Analysts to Information Managers. Also, those who focus further on substance abuse-related research could potentially seek a career in counseling. For instance, you might want to explore how to become a substance abuse counselor with a foundation in Scientometrics. For guidance, this source provides detailed steps to becoming a substance-abuse counselor in Texas. Overall, a career in Scientometrics offers intellectually stimulating opportunities and real-world problem-solving situations which may directly influence policy, clinical, and organizational decisions. To better prepare for these roles, budding scientometricians are encouraged to develop insightful analytical skills, and broad yet detailed understanding of social and scientific research methods.
Alberto Martín-Martín;Michael Thelwall;Enrique Orduna-Malea;Emilio Delgado López-Cózar
(2021)Philip Hallinger;Philip Hallinger;Sedat Gümüş;Mehmet Şükrü Bellibaş
(2020)Enrique Orduña-Malea;Rodrigo Costas;Rodrigo Costas
(2021)Lin Zhang;Lin Zhang;Wenjing Zhao;Beibei Sun;Ying Huang;Ying Huang
(2020)Mario Coccia;Mario Coccia
(2020)Ashkan Ebadi;Pengcheng Xi;Stéphane Tremblay;Bruce Spencer
(2021)Dejian Yu;Libo Sheng
(2020)Saeed Roshani;Mohammad-Reza Bagherylooieh;Melika Mosleh;Mario Coccia
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