1742-4267
Published by: Inderscience Publishers
https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=IJPT
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 455 | 7 | 17 | 2 |
The concepts of Automotive engineering, Powertrain, Control theory, Fuel efficiency and Control engineering are tackled in the journal. It holds forums on Automotive engineering that merges themes from other disciplines such as Electric vehicle and Turbocharger. The tackled Electric vehicle research is interrelated with Optimal control which concerns subjects like Dynamic programming.
Topics in Powertrain were tackled in line with various other fields like Battery (electricity), Truck, Energy management and Automotive industry. While the primary focus in it is Energy management, it also dissects topics surrounding Energy consumption and Drivetrain as a whole. The journal explores issues in Automotive industry which can be linked to other research areas like Hybrid power and Topology (electrical circuits).
The presented Fuel efficiency research focuses mostly on Driving cycle and, on occasion, topics in Energy storage. Some problems in Control engineering that were presented in the journal overlapped with concepts under Systems design, Electric motor, Control (management) and Robustness (computer science). The journal addresses concerns in the field of Torque by exploring it in line with topics in Vibration which intersect with Lubrication, Finite element method and Structural engineering subjects.
The most cited papers investigate studies in Automotive engineering, Powertrain, Electric vehicle, Truck and Energy management. The most cited papers explore issues in Automotive engineering which can be linked to other research areas like Optimal control, Control theory, Electric motor and Range (aeronautics). The published papers with studies in Powertrain featured incorporate elements of Series and parallel circuits, Control engineering, Systems design, Design methods and Topology.
The main points discussed in the journal deals with Automotive engineering, Automotive industry, Fuel efficiency, Exhaust gas and Code refactoring. While Automotive engineering is the focus of it, it also provided insights into the studies of Electric vehicle, Phase (waves), Torque and Traction (orthopedics). The work on Automotive industry tackled in the journal brings together disciplines like Ultimate tensile strength, Composite material, Reinforcement and Reuse.
The studies on Fuel efficiency discussed can also contribute to research in the domains of Back pressure, Internal combustion engine, Engine efficiency and Noise. The Exhaust gas study presented in International Journal of Powertrains encompasses related topics like Exhaust gas recirculation and also examines its connection to subjects such as Oxygen sensor. International Journal of Powertrains tackles research works in Code refactoring as well as other disciplines like Code smell, Software engineering and Class (computer programming).
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 Powertrains (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 Powertrains (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.00% 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 20.00% of all publications and 50.00% 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.
Bryan P. Maldonado;Mitchell Bieniek;John Hoard;Anna G. Stefanopoulou
(2020)Bader Badreddine;Mathew Boesch;Jason Meyer;Qadeer Ahmed
(2020)Zengyang Wu;Libing Wang;Tiegang Fang
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