Informatics

Top Research Topics at Informatics (Basel)?

The journal explores disciplines such as Artificial intelligence, Machine translation, Translation (geometry), Quality (business) and Workflow. In addition to Artificial intelligence research, the journal aims to explore topics under Machine learning and Computer vision. It covers research in Machine learning, particularly Leverage (statistics) and how they are related with concepts in Clustering high-dimensional data.

It tackles research in various disciplines, including Translation (geometry) and Approximate string matching. While Quality (business) is the focus of the conference, it also discussed overlapping research pursuits in other fields like Natural language processing and Style (sociolinguistics). It tackles research in Syntactic structure and Sentence as part of the general discipline of Natural language processing, however, it also discusses concepts in Cohesion (linguistics), GRASP and Field (computer science).

Aside from research in Workflow, it also discusses topics such as Productivity, Perception, Speech translation, User interface and Terminology extraction. The study of Speech translation encompasses disciplines such as Human–computer interaction, as well as fields such as Algorithm, Black box and Interactive visualization, all of which overlap with one another. Topics in Visualization were tackled in line with various other fields like Data stream mining and Data science.

• Artificial intelligence (55.56%)
• Machine translation (44.44%)
• Translation (geometry) (33.33%)

What are the most cited papers published in the journal?

• Embracing First-Person Perspectives in Soma-Based Design (49 citations)
• RadViz++: Improvements on Radial-Based Visualizations (7 citations)
• Multidimensional Data Exploration by Explicitly Controlled Animation (5 citations)

Research areas of the most cited articles at Informatics (Basel):

The published papers investigate studies in Data mining, Movement (music), First person, Sociology and Cognitive science. The journal papers facilitate discussions in Visualization methods as part of the larger field of Data mining, however, they also tackle fields such as Asterisk, Design space and Added value. The Movement (music) study tackled in the journal publications also cover diverse fields such as Set (psychology), Soma and Somatics.

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 Informatics (Basel) (based on the number of publications) are:

• Arda Tezcan (4 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Lieve Macken (3 papers) absent at the last edition,
• Bram Bulté (2 papers) published 1 paper at the last edition,
• Joke Daems (2 papers) absent at the last edition,
• David Woods (1 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 Informatics (Basel) (based on the number of publications) are:

• Norwegian University of Science and Technology (1 papers) absent at the last edition,
• IT University of Copenhagen (1 papers) absent at the last edition,
• Royal Institute of Technology (1 papers) absent at the last edition,
• University of New South Wales (1 papers) absent at the last edition,
• University of Paris-Sud (1 papers) absent at the last 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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 Pathways in Informatics (Basel)

This article presents a comprehensive view of the various research topics in Informatics (Basel), but it lacks a section dedicated to career pathways in this field. Understanding potential career opportunities and steps to start a career in this field can provide extra value for readers interested in pursuing a career in informatics.

There are several career pathways open to individuals interested in informatics, especially in education and research. These roles include research scientists, software engineers, data analysts, and information systems managers. Each role requires different skills and levels of education. For instance, a career as a research scientist in informatics typically requires a Ph.D., while a software engineer role might be obtainable with a Bachelor's degree.

For those interested in the teaching profession, obtaining a teaching certification could be a crucial step in their career path. To understand the process of becoming a teacher, further resources on the educational requirements and process should be explored. For instance, readers can examine how long does it take to become a teacher in Delaware to get a sense of the timeline and commitment involved in this career path in a specific region.

Ultimately, pursuing a career in informatics can open a range of exciting and rewarding opportunities. With the right guidance and resources, individuals can navigate their career path effectively in this growing field.