| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 676 | 19 | 23 | 8 |
The journal aims to foster the development of research in Programming language, Artificial intelligence, Theoretical computer science, Logic programming and Prolog. It primarily discusses Programming language topics, particularly Functional logic programming, Semantics (computer science), Compiler, Partial evaluation and Fifth-generation programming language. The journal addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning, Pattern recognition, Data mining and Natural language processing.
Issues in Theoretical computer science were discussed, taking into consideration concepts from other disciplines like Algorithm and Computation. The journal is focused mainly on Logic programming, particularly Horn clause. Prolog and Parallel computing are closely related fields of research discussed in it.
The journal publications facilitate discussions on Programming language, Logic programming, Prolog, Theoretical computer science and Artificial intelligence. The study of Logic programming in the journal articles encompasses disciplines such as Declarative programming, as well as fields such as Procedural programming, all of which overlap with one another. The most cited articles address concerns in Theoretical computer science which are intertwined with other disciplines, such as Cryptography, Software, Symmetric-key algorithm and Unification.
The main points discussed in New Generation Computing deals with Coronavirus disease 2019 (COVID-19), Artificial intelligence, Cryptography, Computation and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Pattern recognition. Machine learning research presented in New Generation Computing encompasses a variety of subjects, including Discretization, Event (computing) and Discrete time and continuous time.
The research on Cryptography tackled can also make contributions to studies in the areas of Multimedia, Multiplication, SIMPLE (military communications protocol) and Generalization. While Computation is the focus of New Generation Computing, it also provided insights into the studies of Cryptographic protocol, Computer network, Protocol (object-oriented programming) and Theoretical computer science. Theoretical computer science research featured in New Generation Computing incorporates concerns from various other topics such as Permutation, Shuffling, State space, Fork (file system) and Bitwise operation.
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 New Generation Computing (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 New Generation Computing (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, 6.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% 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 66.67% 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.
As the field of computer science continues to evolve, so does the demand for educators in the field. One area where teachers are especially needed is English education, as it applies to the instruction of the English language, as well as computer language syntax, to students who are potentially future computer scientists. Interested individuals looking to become English educators, particularly in New Mexico, may find it beneficial to accumulate a wealth of knowledge in computer science to better instruct students in the English language in the context of programming languages. Intertwining English education with computer science could be a game-changer in the dynamics of teaching and understanding these two critical subjects. To grasp an idea on this career path, you can find out more information how to become an english teacher in new mexico.
Vishu Madaan;Aditya Roy;Charu Gupta;Prateek Agrawal;Prateek Agrawal
(2021)Takeshi Nakai;Yuto Misawa;Yuuki Tokushige;Mitsugu Iwamoto
(2021)Amirhossein Peyvandi;Babak Majidi;Soodeh Peyvandi;Jagdish Patra
(2021)Elspeth Edelstein;Jeff Z. Pan;Ricardo Soares;Adam Wyner
(2020)For those considering a flexible and cost-effective approach to advancing their education in Computer Science, exploring various online options is essential. Many students look for the easy masters programs that can help them gain advanced knowledge without overwhelming demands. These programs often focus on practical skills that translate directly into the workforce.
If you are aiming for the highest level of academic achievement, researching the cheapest online doctoral programs can make a doctoral degree more attainable. Affordability combined with quality education opens doors to specialized career paths in research and academia.
For those seeking shorter or more specific credentials, affordability is also key. Many fafsa-approved online certificate programs offer accessible pathways to bolster your resume without breaking the bank, making education more inclusive for all students.
Furthermore, choosing from the online certificate programs that pay well can provide a strategic advantage. These high-value certificates often lead to roles with competitive salaries, helping to fast-track career growth in the tech industry.
