| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 472 | 16 | 34 | 4 |
| Computer Science | 658 | 31 | 79 | 8 |
Automatisierungstechnik is organized to address concerns in the fields of Control theory, Control engineering, Artificial intelligence, Linear system and Automation. Nonlinear system and Control synthesis are among the areas of Control theory tackled. Control theory is a major topic of Control engineering research.
Robotics is a primary topic of Artificial intelligence research in it.
The journal publications mainly tackle studies in Control engineering, Control theory, Nonlinear system, Mathematical analysis and Mathematical optimization. Aside from discussions in Control engineering, the most cited papers also deal with the subject of Trajectory which intersects with Automation and Planner disciplines. Issues in Control theory were discussed in the most cited articles, taking into consideration concepts from other disciplines like Beam (structure) and Timoshenko beam theory.
The aim of Automatisierungstechnik is to expand the discussion of research in Gynecology, Humanities and Imitation.
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 Automatisierungstechnik (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 Automatisierungstechnik (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, 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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Eva Brucherseifer;Hanno Winter;Andrea Mentges;Max Mühlhäuser
(2021)Julian Berberich;Johannes Köhler;Matthias A. Müller;Frank Allgöwer
(2021)Birgit Vogel-Heuser;Felix Ocker;Tobias Scheuer
(2021)Birgit Vogel-Heuser;Matthias Seitz;Luis Alberto Cruz Salazar;Felix Gehlhoff
(2020)Marco Grochowski;Hendrik Simon;Dimitri Bohlender;Stefan Kowalewski
(2020)For those interested in studying Computer Science in the USA, exploring online education options can offer significant flexibility and cost savings. Many students prefer a self paced online degree, allowing them to balance work and study at their own speed without compromising quality.
Affordability is another important factor. Prospective students can find some of the cheapest masters degrees in Computer Science that maintain strong academic standards, making advanced education more accessible than ever.
For those aiming for quicker entry into the workforce, an associate degree can be a strategic choice. Many of the quickest associates degree programs allow students to develop foundational skills in programming and IT in a shorter time frame, opening doors to entry-level tech positions.
Choosing a reputable institution is crucial, which is why pursuing a degree from the most respected online university can greatly impact career prospects. Accreditation ensures the program meets industry standards and is recognized by employers nationwide.
