| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 282 | 224 | 335 | 26 |
| Engineering and Technology | 365 | 67 | 162 | 21 |
The journal generally zeroes in on subjects such as Thermodynamics, Inorganic chemistry, Organic chemistry, Analytical chemistry and Solubility. Journal of Chemical & Engineering Data focuses on Thermodynamics but the discussions also offer insight into other areas such as Binary system, Activity coefficient and Ternary operation. Activity coefficient studies presented include Non-random two-liquid model and UNIQUAC.
Ternary operation research is the primary subject tackled in Journal of Chemical & Engineering Data with a focus on Ternary numeral system. While Inorganic chemistry is the focus of the journal, it also provided insights into the studies of Sodium, Adsorption, Electrolyte, Ionic liquid and Aqueous solution. The Organic chemistry study featured in Journal of Chemical & Engineering Data draws connections with the study of Physical chemistry.
While work presented in Journal of Chemical & Engineering Data provided substantial information on Analytical chemistry, it also covered topics in Chromatography, Vapor pressure and Atmospheric pressure. The studies in Solubility featured incorporate elements of Ethanol, Methanol, Solvent, Nuclear chemistry and Carbon dioxide.
The published papers facilitate discussions on Thermodynamics, Inorganic chemistry, Analytical chemistry, Organic chemistry and Aqueous solution. While Thermodynamics is the focus of the journal publications, it also provides insights into the studies of Binary system and Binary number. The published papers hold forums on Inorganic chemistry that merge themes from other disciplines such as Methanol, Adsorption, Electrolyte, Ionic liquid and Solubility.
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 Journal of Chemical & Engineering Data (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 Journal of Chemical & Engineering Data (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, 7.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.40% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.82% of all publications and 56.37% 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.
Mark O. McLinden;Marcia L. Huber
(2020)Javad Imanipoor;Mohsen Mohammadi;Mohammad Dinari;Mohammad Reza Ehsani
(2021)Yanxin Wang;Chunyan Ma;Chang Liu;Xiaohua Lu
(2020)Andrés González de Castilla;Jan Philipp Bittner;Simon Müller;Sven Jakobtorweihen
(2020)Antonysamy Jeyaseelan;Natrayasamy Viswanathan
(2020)Xiaoxian Yang;Xiong Xiao;Eric F. May;Ian H. Bell
(2021)Antonysamy Jeyaseelan;Mu. Naushad;Natrayasamy Viswanathan
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