| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 1216 | 11 | 23 | 5 |
Chemical Product and Process Modeling generally zeroes in on subjects such as Process engineering, Industrial chemistry, Chemical engineering, Mechanics and Control theory. It aims to investigate interdisciplinary topics such as Industrial chemistry and Process (engineering). Discussions in Chemical Product and Process Modeling are anchored in the subject of Chemical engineering and the similar topic of Organic chemistry.
The Mechanics study tackling the subject of Computational fluid dynamics is the focus of Chemical Product and Process Modeling. It investigates Control theory research which frequently intersects with Control engineering.
The published papers tackle a plethora of topics, such as Industrial chemistry, Mechanics, Computational fluid dynamics, Process engineering and Waste management. While Mechanics is the key highlight in the most cited publications, thet also covered some subjects on Simulation and Bubble and Gas velocity. While the most cited articles focused on Process engineering, they were also able to explore topics like Power (physics), Pectin, Dimensional modeling and Process (engineering).
The journal primarily tackles Process engineering, Control theory, Computational fluid dynamics, Mechanics and Chemical engineering. While Process engineering is the focus of it, it also provided insights into the studies of Artificial neural network, Phase (matter), Biorefinery and Response surface methodology. Nonlinear system, Control theory and Feed forward research are fields of study within Control theory but they also intertwine with concepts in Mode (statistics) and Scheme (programming language).
The work on Computational fluid dynamics tackled in Chemical Product and Process Modeling brings together disciplines like Flow field, Chromatography, Column (database) and Chemical reactor. Chemical Product and Process Modeling holds forums on Mechanics that merges themes from other disciplines such as Fixed bed and Baffle. Chemical Product and Process Modeling explores issues in Chemical engineering which can be linked to other research areas like Bioenergy, Asphaltene precipitation, Solvent, Characterization (materials science) and Thermal decomposition.
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 Chemical Product and Process Modeling (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 Chemical Product and Process Modeling (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, 4.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.89% 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 26.67% 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.
Tayebeh Marzoughi;Fereshteh Samimi;Mohammad Reza Rahimpour
(2021)Mudhar Al-Obaidi;Basman Al-Nedawe;Abdulrahman Mohammad;Iqbal Mujtaba
(2021)Amer T. Nawaf;Aysar T. Jarullah;Shymaa A. Hameed;Iqbal M. Mujtaba
(2021)Venkatesh Inguva;Andreas Schulz;Eugeny Y. Kenig;Eugeny Y. Kenig
(2020)Abdullah H. Almerri;Mudhar A. Al-Obaidi;Salih Alsadaie;Iqbal M. Mujtaba
(2021)Aysar T. Jarullah;Sarmad K. Muhammed;Ban A. Al-Tabbakh;Iqbal M. Mujtaba
(2021)Ebi Fayazishishvan;Barat Ghobadian;S. Mohamad Mousavi;Gholamhassan Najafi
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