Journal of Informetrics

Top Research Topics at Journal of Informetrics?

Journal of Informetrics generally zeroes in on subjects such as Citation, Data science, Statistics, Information retrieval and Bibliometrics. The journal facilitates discussions on Citation that incorporate concepts from other fields like Ranking, Normalization (statistics) and Econometrics. The study on Data science presented in Journal of Informetrics intersects with the topics under Field (computer science).

It connects research in Information retrieval with the related topic of Scopus.

• Citation (31.02%)
• Data science (19.20%)
• Statistics (15.03%)

What are the most cited papers published in the journal?

• bibliometrix: An R-tool for comprehensive science mapping analysis (917 citations)
• A unified approach to mapping and clustering of bibliometric networks (671 citations)
• h-Index: A review focused in its variants, computation and standardization for different scientific fields (550 citations)

Research areas of the most cited articles at Journal of Informetrics:

The published papers are organized to reinforce research efforts on Citation, Data science, Information retrieval, Bibliometrics and Statistics. While work presented in the journal articles provide substantial information on Citation, it also covers topics in Normalization (statistics), Scientometrics and Scopus. The featured Data science studies in the most cited publications mainly concentrate on Betweenness centrality but also cover areas of interest in Social network analysis.

What topics the last edition of the journal is best known for?

• Statistics
• Artificial intelligence
• Linguistics

The previous edition focused in particular on these issues:

The journal mainly deals with areas of study such as Citation, Data science, Information retrieval, Bibliometrics and Field (computer science). In particular, the Citation works presented emphasize discussions on Citation data. The Data science works featured in it incorporate elements from Perspective (graphical), Metric (unit), Reliability (statistics), Popularity and Measure (data warehouse).

Perspective (graphical) study tackled is connected to the field of Public relations. The in-depth study on Information retrieval also explores topics in the intersecting field of Bibliographic coupling. Discussions in it are anchored in the subject of Field (computer science) and the similar topic of Identification (information).

The most cited articles from the last journal are:

• The effect of Russian University Excellence Initiative on publications and collaboration patterns (5 citations)
• Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain (4 citations)
• The inconsistency of h-index: A mathematical analysis (3 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Journal of Informetrics (based on the number of publications) are:

• Lutz Bornmann (78 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Giovanni Abramo (48 papers) published 4 papers at the last edition the same number as at the previous edition,
• Ciriaco Andrea D'Angelo (46 papers) published 4 papers at the last edition the same number as at the previous edition,
• Loet Leydesdorff (43 papers) published 1 paper at the last edition the same number as at the previous edition,
• Ronald Rousseau (43 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Informetrics (based on the number of publications) are:

• Katholieke Universiteit Leuven (62 papers) absent at the last edition,
• Max Planck Society (60 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• University of Antwerp (51 papers) absent at the last edition,
• University of Rome Tor Vergata (47 papers) published 4 papers at the last edition the same number as at the previous edition,
• National Research Council (47 papers) published 4 papers at the last edition, 1 less than at the previous edition.

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.

Publication chance based on affiliation

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, 3.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.78% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.22% of all publications and 50.00% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career opportunities in Informetrics

While the field of informetrics is primarily research driven, it offers exciting career opportunities for those seeking to venture outside the traditional research environment. Professionals in this field often find employment in diverse sectors such as technology companies, academic institutions, as well as private and public research institutions where they help develop data-driven strategies and solutions through the application of data science, statistics, and other informetric methods.

For those seeking to embark on a teaching career specializing in informetrics, earning a relevant higher degree and solid research experience are highly imperative. Focusing your research on any of the journal of informetrics' top subjects such as citation, data science, or information retrieval can be beneficial and provide you with the expertise sought by employers in this field. Teaching opportunities are vast, ranging from tertiary institutions to private schools. For instance, becoming a private school teacher could be an appealing option for those seeking a teaching career with a smaller classroom size and often higher salary benefits.

To provide more depth about career opportunities in teaching within the field of informetrics, we have an insightful article detailing the private school teacher requirements in West Virginia. The link provides a comprehensive guide for those contemplating a teaching role in private schools.

A career in informetrics is intellectually stimulating, cutting-edge, and holds vast potential for growth. Leveraging on key research areas and gaining a deep understanding of the dynamics of the field can significantly enhance career prospects in informetrics.