Measurement: Journal of the International Measurement Confederation

Top Research Topics at Measurement?

The foci of Measurement are Artificial intelligence, Algorithm, Electronic engineering, Optics and Acoustics. Topics in Artificial intelligence explored in the journal were investigated in conjunction with research in Computer vision and Pattern recognition. The journal features Electronic engineering research that overlaps with concepts in Signal.

• Artificial intelligence (12.89%)
• Algorithm (9.61%)
• Electronic engineering (9.52%)

What are the most cited papers published in the journal?

• A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever. (982 citations)
• Condition monitoring and fault diagnosis of planetary gearboxes: A review (384 citations)
• A sparse auto-encoder-based deep neural network approach for induction motor faults classification (363 citations)

Research areas of the most cited articles at Measurement:

The most cited articles generally zeroe in on subjects such as Artificial intelligence, Pattern recognition, Electronic engineering, Algorithm and Surface roughness. The works on Artificial intelligence tackled in the journal publications bring together disciplines like Fault (power engineering) and Computer vision. Acoustics and Signal are some topics wherein Electronic engineering research discussed in the most cited publications has an impact.

What topics the last edition of the journal is best known for?

• Composite material
• Artificial intelligence
• Quantum mechanics

The previous edition focused in particular on these issues:

Measurement investigates areas of study like Artificial intelligence, Acoustics, Displacement (vector), Signal and Optics. Topics in Artificial intelligence were tackled in line with various other fields like Machine learning and Pattern recognition. The main emphasis of it is the subject of Acoustics, focusing on Vibration.

The studies on Displacement (vector) discussed can also contribute to research in the domains of Measure (mathematics), Capacitance, Grating, Range (statistics) and Eccentricity (behavior). While work presented in the journal provided substantial information on Signal, it also covered topics in Bandwidth (signal processing), Flow velocity, Miniaturization and Headway. In addition to Optics research, it aims to explore topics under Instability, Distortion, Microwave and Inductance.

The most cited articles from the last journal are:

• A monocular vision-based decoupling measurement method for plane motion orbits (0 citations)
• Equivalent structural parameters based non-destructive prediction of sustainable concrete strength using machine learning models via piezo sensor (0 citations)
• Non-iterative pose estimation method based on the polarization information via a parallelogram (0 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Measurement (based on the number of publications) are:

• Pasquale Daponte (45 papers) absent at the last edition,
• Baoping Tang (33 papers) absent at the last edition,
• Leopoldo Angrisani (27 papers) absent at the last edition,
• Filippo Attivissimo (27 papers) absent at the last edition,
• Pedro M. Ramos (27 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Measurement (based on the number of publications) are:

• Chinese Academy of Sciences (146 papers) published 4 papers at the last edition, 37 less than at the previous edition,
• Harbin Institute of Technology (129 papers) published 1 paper at the last edition, 22 less than at the previous edition,
• Islamic Azad University (120 papers) absent at the last edition,
• Beihang University (113 papers) absent at the last edition,
• Tianjin University (108 papers) absent at the last edition.

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.

Publication chance based on affiliation

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, 2.78% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.14% of all publications and 57.14% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.