0001-1452
Published by: American Institute of Aeronautics and Astronautics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 63 | 235 | 630 | 30 |
| Engineering and Technology | 464 | 69 | 137 | 17 |
The concepts of Mechanics, Classical mechanics, Turbulence, Boundary layer and Mathematical analysis are tackled in AIAA Journal. AIAA Journal concentrated on Mechanics research, specifically Mach number, Reynolds number, Flow separation, Vortex and Supersonic speed. In the journal, Hypersonic speed, Optics and Shock wave are investigated in conjunction with one another to address concerns in Mach number research.
In particular, the Vortex works presented emphasize discussions on Vorticity. It features studies on Supersonic speed, including topics such as Choked flow. The Turbulence research presented places emphasis on topics like Turbulence kinetic energy, Reynolds-averaged Navier–Stokes equations, Turbulence modeling, K-epsilon turbulence model and Direct numerical simulation.
The Boundary layer study tackled is a key component of adjacent topics in the area of Laminar flow. Topics in Mathematical analysis were tackled in line with various other fields like Geometry and Finite element method.
The main points discussed in the journal papers deal with Mechanics, Turbulence, Classical mechanics, Boundary layer and Mach number. The most cited papers feature Mechanics research that overlaps with concepts in Optics. Aside from discussions in Classical mechanics, the journal papers also deal with the subject of Navier–Stokes equations which intersects with Computational fluid dynamics and Mathematical analysis disciplines.
The journal investigates studies in Mechanics, Reynolds-averaged Navier–Stokes equations, Turbulence, Direct numerical simulation and Lift coefficient. Boundary layer, Airfoil, Reynolds number, Angle of attack and Vortex are Mechanics topics of special interest in the journal. AIAA Journal focuses on Boundary layer research which is adjacent to topics in Shock wave.
The study of Reynolds-averaged Navier–Stokes equations encompasses disciplines such as Aerodynamics, as well as fields such as Wing, all of which overlap with one another. AIAA Journal covers various topics on Turbulence such as Turbulence kinetic energy and Boundary layer thickness. The concepts on Direct numerical simulation presented in the journal can also apply to other research fields, including Hypersonic speed, Mach number and Supersonic speed.
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 AIAA Journal (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 AIAA Journal (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, 10.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.40% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.44% of all publications and 59.38% 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.
Kunihiko Taira;Maziar S. Hemati;Steven L. Brunton;Yiyang Sun
(2020)Nils Thuerey;Konstantin Weißenow;Lukas Prantl;Xiangyu Hu
(2020)Oliver T. Schmidt;Tim Colonius
(2020)Jichao Li;Mengqi Zhang;Joaquim R. R. A. Martins;Chang Shu
(2020)Eric Loth;John Tyler Daspit;Michael Jeong;Takayuki Nagata
(2021)Steven L. Brunton;J. Nathan Kutz;Krithika Manohar;Aleksandr Y. Aravkin
(2021)Ney R. Secco;Gaetan K. W. Kenway;Ping He;Charles Mader
(2021)Ping He;Charles A. Mader;Joaquim R. R. A. Martins;Kevin J. Maki
(2020)Zhe Bai;Eurika Kaiser;Joshua L. Proctor;J. Nathan Kutz
(2020)Wei Chen;Kevin Chiu;Mark D. Fuge
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