Impact Score* 5.5
Control theory, Kinematics, Mechanism (engineering), Structural engineering and Algorithm are among the topics commonly tackled in the journal. In it, Control engineering and Workspace, Robot are investigated in conjunction with one another to address concerns in Control theory research. In the journal, researchers investigate the Robot study as part of research in the field of Artificial intelligence.
In addition to Kinematics research, it aims to explore topics under Geometry, Simulation, Mathematical analysis and Topology. The journal focused on Topology research but expanded to cover Planar. It focuses on Mechanism (engineering) research which is adjacent to topics in Linkage (mechanical).
Mechanism and Machine Theory addresses concerns in Structural engineering which are intertwined with other disciplines, such as Vibration and Bearing (mechanical).
The most cited publications investigate areas of study like Control theory, Kinematics, Structural engineering, Mechanism (engineering) and Algorithm. The published articles address concerns in Control theory which are intertwined with other disciplines, such as Workspace, Simulation and Control engineering. The most cited papers hold forums on Kinematics that merge themes from other disciplines such as Displacement (vector), Mathematical analysis, Position (vector) and Topology.
The discussions in the journal mainly cover the fields of Control theory, Kinematics, Stiffness, Structural engineering and Mechanism (engineering). Topics in Control theory were tackled in line with various other fields like Genetic algorithm and Displacement (vector). Mechanism and Machine Theory explores issues in Kinematics which can be linked to other research areas like Workspace, Robot and Exoskeleton.
Mechanism and Machine Theory focuses on Stiffness but the discussions also offer insight into other areas such as Mechanism (sociology), Inertia, Load distribution, Cartesian coordinate system and Raceway. Vibration, Meshing stiffness, Stress (mechanics) and Closed loop are some topics wherein Structural engineering research discussed in it have an impact. It facilitates discussions on Mechanism (engineering) that incorporate concepts from other fields like Work (physics), High stiffness, Simulation and DUAL (cognitive architecture).
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 Mechanism and Machine Theory (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 Mechanism and Machine Theory (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 2022 edition, 10.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.81% of all publications and 47.62% 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 metrics for this journal are compiled based on the data for scientists listed under Mechanical and Aerospace Engineering