Strain

Top Research Topics at Strain?

Composite material, Structural engineering, Strain gauge, Optics and Stress (mechanics) are among the topics commonly tackled in the journal. The journal connects the study in Composite material with the closely related area of Strain (chemistry). Discussions in it are anchored in the subject of Structural engineering and the similar topic of Mechanics.

The studies in Strain gauge featured incorporate elements of Electrical resistance and conductance and Gauge (firearms). The research on Optics discussed in it draws on the closely related field of Photoelasticity. The study on Digital image correlation presented is investigated in conjunction with research in Displacement (vector).

• Composite material (30.19%)
• Structural engineering (30.19%)
• Strain gauge (15.13%)

What are the most cited papers published in the journal?

• Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review (605 citations)
• Estimation of Electric Charge Output for Piezoelectric Energy Harvesting (587 citations)
• A Comparative Study of Several Material Models for Prediction of Hyperelastic Properties: Application to Silicone-Rubber and Soft Tissues (313 citations)

Research areas of the most cited articles at Strain:

The journal papers focus largely on the fields of Composite material, Structural engineering, Digital image correlation, Optics and Displacement (vector). The most cited articles hold forums on Structural engineering that merge themes from other disciplines such as Residual stress, Stress (mechanics) and Thermoelastic damping. The most cited publications tackle studies in Displacement field and the interrelated subject of Stress intensity factor to gain insights into Digital image correlation.

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

• Composite material
• Mechanical engineering
• Structural engineering

The previous edition focused in particular on these issues:

The journal primarily tackles Composite material, Digital image correlation, Deformation (meteorology), Structural engineering and Strain (chemistry). The Composite material study featured in it draws parallels with the field of Ferromagnetism. Digital image correlation research featured in it incorporates concerns from various other topics such as Acoustics, Image resolution, Finite element method and Strain gauge.

The overlapping concepts between Identification (information) and Grid method multiplication are the key highlights of Finite element method study. Topics in Structural engineering were tackled in line with various other fields like Eddy-current testing and Eddy current. Strain deals with Strain (chemistry) in conjunction with Toe surface and similar fields in Fracture (geology).

The most cited articles from the last journal are:

• Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements (7 citations)
• High strain rate elasto‐plasticity identification using the image‐based inertial impact (IBII) test part 1: Error quantification (2 citations)
• Characterising the frequency-response of ultra-soft polymers with the Virtual Fields Method (1 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 Strain (based on the number of publications) are:

• Keith Worden (21 papers) absent at the last edition,
• Fabrice Pierron (18 papers) published 4 papers at the last edition, 3 more than at the previous edition,
• K. Ramesh (16 papers) absent at the last edition,
• E. G. Little (15 papers) absent at the last edition,
• Josef Eberhardsteiner (12 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 Strain (based on the number of publications) are:

• University of Sheffield (56 papers) absent at the last edition,
• University of Southampton (28 papers) published 4 papers at the last edition, 3 more than at the previous edition,
• University of Liverpool (25 papers) absent at the last edition,
• Indian Institute of Technology Madras (23 papers) absent at the last edition,
• University of Strathclyde (23 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 2021 edition, 3.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.00% of all publications and 60.00% 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.