| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 391 | 60 | 79 | 15 |
The journal mostly deals with topics like Parallel computing, Supercomputer, Computational science, Distributed computing and Scalability. Computation and Programming paradigm are some topics wherein Parallel computing research discussed in International Journal of High Performance Computing Applications have an impact. International Journal of High Performance Computing Applications explores issues in Computational science which can be linked to other research areas like Computational fluid dynamics, Solver and Finite element method.
CUDA and General-purpose computing on graphics processing units are closely related fields of research discussed in International Journal of High Performance Computing Applications.
The most cited articles mainly deal with areas of study such as Parallel computing, Computational science, Supercomputer, Lossy compression and Scalability. The published articles address concerns in Parallel computing which are intertwined with other disciplines, such as Finite element code, Solver and Program analysis. While work presented in the journal articles provide substantial information on Computational science, it also covers topics in Fault tolerance, Visualization, CUDA and Massively parallel.
The aim of the journal is to expand the discussion of research in Computational science, Parallel computing, Exascale computing, Supercomputer and CUDA. Aside from investigating topics in Adaptive mesh refinement under Computational science, International Journal of High Performance Computing Applications also explores concepts in High order, Fusion and Path (graph theory). The journal tackles research in Massively parallel as part of the general discipline of Parallel computing, however, it also discusses concepts in Square matrix.
International Journal of High Performance Computing Applications holds forums on Exascale computing that merges themes from other disciplines such as Graphical processing unit, Programming paradigm and Center (algebra and category theory). In addition to Supercomputer research, it aims to explore topics under Fault tolerance, Numerical weather prediction, Cluster analysis and Current (fluid). The overlapping concepts between Task (project management) and Bottleneck and Gravitation are the key highlights of CUDA study.
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 International Journal of High Performance Computing Applications (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 International Journal of High Performance Computing Applications (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, 6.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 63.64% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.82% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.09% of all publications and 20.45% 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.
The field of High Performance Computing provides a plethora of career opportunities for those dedicated to research and development. Having a firm understanding of the topics covered in the International Journal of High Performance Computing Applications such as Parallel Computing, Supercomputer, and Computational Science can pave the way towards a rich career in this field. Skills can be acquired and honed not just through theoretical research, but also through practical applications and credential programs. If you're located in Pennsylvania or are considering relocation, there are various viable options to achieve the necessary credentials. Explore a list of the most affordable teaching credential programs in this state to further your career in High Performance Computing. For more information on affordable credential programs in Pennsylvania, you can click teaching credential programs in pennsylvania. This link will navigate you to a webpage containing additional details and resources related to these programs. Dedication, continuous learning, and practical application of knowledge can put you on the path towards a meaningful career in this dynamic and rapidly expanding field.
Lorenzo Casalino;Abigail C. Dommer;Zied Gaieb;Emilia P. Barros
(2021)Ahmad Abdelfattah;Hartwig Anzt;Hartwig Anzt;Erik G. Boman;Erin C. Carson
(2021)Unknown
(2022)Weiqun Zhang;Andrew Myers;Kevin Gott;Ann S. Almgren
(2021)Hank Childs;Sean Ahern;James P. Ahrens;Andrew C. Bauer
(2020)Tzanio V. Kolev;Paul Fischer;Paul Fischer;Misun Min;Jack J. Dongarra
(2021)Jordan Musser;Ann S Almgren;William D Fullmer;William D Fullmer;Oscar Antepara
(2021)J. C. S. Kadupitiya;Geoffrey C. Fox;Vikram Jadhao
(2020)Thomas M Evans;Andrew Siegel;Erik W Draeger;Jack Deslippe
(2021)For students interested in studying Computer Science in the USA, exploring online degree options can offer flexibility and affordability. Many online universities provide quality education that fits various budgets, making it easier to pursue your degree without financial strain. To find budget-friendly options, refer to this comprehensive list of the online universities.
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