| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 359 | 62 | 70 | 16 |
The journal was organized to reinforce research efforts on Artificial intelligence, Human–computer interaction, Robot, Humanities and Robotics. Topics in Artificial intelligence explored in it were investigated in conjunction with research in Context (language use), Natural language processing, Task (project management), Computer vision and Machine learning.
The journal publications investigate areas of study like Artificial intelligence, Robot, Human–computer interaction, Robotics and Field (computer science). The studies on Artificial intelligence discussed at the most cited papers can also contribute to research in the domains of Context (language use), Machine learning, Point (typography) and Computer vision. The published articles explore Human–computer interaction concepts, specifically Usability but expand to research in Game playing.
The journal primarily focuses on research topics in Artificial intelligence, Curriculum, Mathematics education, Human–computer interaction and Ai education. Künstliche Intelligenz tackles research works in Artificial intelligence as well as Computational semantics. The journal holds forums on Curriculum that merges themes from other disciplines such as Key (cryptography), Domain knowledge, Hierarchy and Educational systems.
Aside from investigating topics in Technology education under Mathematics education, the journal also explores concepts in Competition (economics). Some problems in Human–computer interaction that were presented in Künstliche Intelligenz overlapped with concepts under Variety (linguistics), Embodied cognition, Action (philosophy), Speech synthesis and Robot. The work on Robot tackled in it brings together disciplines like Transfer of learning, Task (computing) and Reinforcement learning.
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 Künstliche Intelligenz (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 Künstliche Intelligenz (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, 16.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.89% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 38.89% of all publications and 36.11% 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.
While understanding and analyzing the research topics, cited papers, and other academic aspects of the emerging AI field is paramount, it is equally important to discuss the career opportunities and roles associated with such a domain. The field of AI has seen substantial growth in recent years, which has had a significant impact on the job market and career prospects for individuals skilled in artificial intelligence, machine learning, robotics, and other related disciplines.
There are a multitude of roles available for those interested in the AI field, ranging from AI Specialist, Data Scientist, Machine Learning Engineer, Robotics Scientist and more. These roles span across industries like technology, healthcare, finance, and even education. In fact, the educational field is seeing a growing need for educators who can impart their AI and robotics knowledge to the next generation.
An intriguing example of an education-related job in AI is becoming an English teacher with a focus on communicating complex AI concepts. In such a role, one would often provide learners with the necessary vocabulary and linguistic constructs needed to elaborate, describe, and discuss AI topics effectively. Earning a degree in English combined with a keen interest or proficiency in AI or relevant technologies could qualify one for such a role.
If you are interested in exploring these unconventional but potentially rewarding teacher roles in AI, you can follow this guide how to become an English teacher in Wisconsin. This guide includes specifics about earning teaching credentials in Wisconsin, with a focus on crafting lesson plans involving AI and associated topics.
The exploding growth and high-paying jobs in the AI industry should inspire programmers, engineers, and even educators, to consider acquiring skills in artificial intelligence. Whether it is academia, industry research, or a career in instruction, the AI field presents many opportunities for professionals from various backgrounds.
Andreas Holzinger;André M. Carrington;Heimo Müller
(2020)Kacper Sokol;Peter A. Flach
(2020)Gerald Steinbauer;Martin Kandlhofer;Tara Chklovski;Fredrik Heintz
(2021)Benjamin Schiller;Johannes Daxenberger;Iryna Gurevych
(2021)Jens E. L. Van Gysel;Meagan Vigus;Jayeol Chun;Kenneth Lai
(2021)James Pustejovsky;Nikhil Krishnaswamy
(2021)Piero A. Bonatti;Sabrina Kirrane;Iliana M. Petrova;Luigi Sauro
(2020)Tobias Baur;Alexander Heimerl;Florian Lingenfelser;Johannes Wagner
(2020)Martin V. Butz
(2021)Pursuing a Computer Science degree online offers flexibility, but it's important to consider various program options based on your career goals and schedule. For those seeking flexibility, exploring online college degrees that are highly ranked for accessibility can be a great start. These programs often balance rigorous content with flexible pacing.
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Considering long-term earning potential is crucial. Computer Science remains one of the highest paid degrees, making it a smart investment for career advancement. By choosing the right online degree, you can align your education with rewarding career opportunities in the USA’s booming tech sector.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 2
