Macromolecular Theory and Simulations

Top Research Topics at Macromolecular Theory and Simulations?

The journal aims to foster the development of research in Polymer, Polymer chemistry, Thermodynamics, Monte Carlo method and Polymerization. While Macromolecular Theory and Simulations focused on Polymer, it was also able to explore topics like Chemical physics, Chain (algebraic topology), Molecular dynamics, Branching (polymer chemistry) and Molecule. The in-depth study on Chemical physics also explores topics in the intersecting field of Polyelectrolyte.

Some problems in Polymer chemistry that were presented in it overlapped with concepts under Copolymer, Bulk polymerization, Chemical engineering, Kinetics and Monomer. While work presented in the journal provided substantial information on Thermodynamics, it also covered topics in Polymer blend, Phase (matter), Phase diagram and Physical chemistry. The studies in Monte Carlo method featured incorporate elements of Radius of gyration, Molecular physics, Statistical physics and Lattice (order).

The research on Polymerization tackled can also make contributions to studies in the areas of Reaction rate constant and Molar mass distribution. The journal explores research in Molar mass distribution and the adjacent study of Dispersity. The research on Radical polymerization discussed in it draws on the closely related field of Emulsion polymerization.

• Polymer (33.43%)
• Polymer chemistry (26.49%)
• Thermodynamics (24.56%)

What are the most cited papers published in the journal?

• The simulation of molecular weight distributions in polyreaction kinetics by discrete Galerkin methods (278 citations)
• Detailed‐atomistic molecular modeling of small molecule diffusion and solution processes in polymeric membrane materials (263 citations)
• Kinetic Analysis of Reversible Addition Fragmentation Chain Transfer (RAFT) Polymerizations: Conditions for Inhibition, Retardation, and Optimum Living Polymerization (233 citations)

Research areas of the most cited articles at Macromolecular Theory and Simulations:

The most cited papers explore disciplines such as Polymer chemistry, Polymer, Polymerization, Radical polymerization and Thermodynamics. The studies on Polymer chemistry discussed at the most cited publications can also contribute to research in the domains of Copolymer, Bulk polymerization, Molar mass distribution, Chemical engineering and Monomer. The most cited publications with studies in Polymer featured incorporate elements of Chemical physics, Molecular dynamics, Physical chemistry, Molecule and Monte Carlo method.

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

• Quantum mechanics
• Polymer
• Organic chemistry

The previous edition focused in particular on these issues:

The scientific interests tackled in Macromolecular Theory and Simulations are Chemical engineering, Polymer, Thermodynamics, Molecular dynamics and Composite material. Chemical engineering research presented in the journal encompasses a variety of subjects, including Radical polymerization, Acrylate, Butyl acrylate, Membrane and Salt (chemistry). Polymer research featured in Macromolecular Theory and Simulations incorporates concerns from various other topics such as Chemical physics, Rheology, Piston, Molecular physics and Molecular simulation.

The research on Thermodynamics featured in Macromolecular Theory and Simulations combines topics in other fields like Estimation theory, Polymer blend, Polyethylene, Molar mass distribution and Monte Carlo method. While Monte Carlo method is the key highlight in it, it also covered some subjects on Radius of gyration and Hyperbranched polymers, Point distribution model and Chain transfer. It explores topics in Molecular dynamics which can be helpful for research in disciplines like Styrene-butadiene, Urea-formaldehyde, Thermal stability and Glass transition.

The most cited articles from the last journal are:

• Stochastic Modeling of Poly(acrylate) Distributions Obtained by Radical Polymerization under High‐Temperature Semi‐Batch Starved‐Feed Conditions: Investigation of Model Predictions versus Experimental Data (6 citations)
• Using a Multiscale Modeling Approach to Correlate Reaction Conditions with Polymer Microstructure and Rheology (5 citations)
• Translating Simulated Chain Length and Molar Mass Distributions in Chain-Growth Polymerization for Experimental Comparison and Mechanistic Insight (3 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 Macromolecular Theory and Simulations (based on the number of publications) are:

• Hidetaka Tobita (52 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Gerhard Zifferer (41 papers) absent at the last edition,
• Alexei R. Khokhlov (31 papers) absent at the last edition,
• Oskar Friedrich Olaj (26 papers) absent at the last edition,
• Ryszard Szymanski (21 papers) published 1 paper 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 Macromolecular Theory and Simulations (based on the number of publications) are:

• Max Planck Society (67 papers) absent at the last edition,
• Russian Academy of Sciences (62 papers) published 1 paper at the last edition,
• Moscow State University (43 papers) absent at the last edition,
• University of Vienna (40 papers) absent at the last edition,
• University of Fukui (36 papers) published 4 papers at the last edition, 1 more than at the previous 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, 3.03% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.31% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.81% of all publications and 57.81% 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.