0886-9383
Published by: Wiley
https://analyticalsciencejournals.onlinelibrary.wiley.com/journal/1099128x
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 622 | 32 | 103 | 12 |
The concepts of Statistics, Artificial intelligence, Chemometrics, Algorithm and Partial least squares regression are tackled in Journal of Chemometrics. Journal of Chemometrics covers various topics on Statistics such as Principal component analysis, Regression, Calibration (statistics), Regression analysis and Multivariate statistics. It connects research in Multivariate statistics with the related topic of Multivariate analysis.
The journal explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Data mining and Pattern recognition. The Chemometrics study featured falls within the larger field of Analytical chemistry. It focuses on Algorithm as well as the interrelated topic of Set (abstract data type).
In addition to Partial least squares regression research, Journal of Chemometrics aims to explore topics under Principal component regression, Linear regression and Latent variable.
The published papers mostly deal with topics like Statistics, Partial least squares regression, Algorithm, Artificial intelligence and Chemometrics. The published articles tackle studies in Matrix (mathematics) and the interrelated subject of Eigenvalues and eigenvectors to gain insights into Algorithm. The journal articles facilitate discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning, Data mining and Pattern recognition.
Journal of Chemometrics investigates studies in Artificial intelligence, Chemometrics, Pattern recognition, Algorithm and Multivariate curve resolution. Artificial intelligence research featured in it incorporates concerns from various other topics such as Quantitative structure–activity relationship and Machine learning. Polyester, Partial least squares regression and Ridge (meteorology) are some topics wherein Chemometrics research discussed in Journal of Chemometrics have an impact.
The Pattern recognition works, particularly on Principal component analysis are tackled in it. While Journal of Chemometrics focused on Algorithm, it was also able to explore topics like Symbolic regression, Sparse regression and Constraint (information theory). It focuses on Variable (computer science) but the discussions also offer insight into other areas such as Component analysis, Multivariate statistics and Statistics.
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 Chemometrics (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 Chemometrics (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, 4.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.59% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 6.90% of all publications and 55.17% 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.
Gilles Rabatel;Federico Marini;Beata Walczak;Jean‐Michel Roger
(2020)Shuxia Guo;Shuxia Guo;Petra Rösch;Petra Rösch;Jürgen Popp;Jürgen Popp;Thomas Bocklitz;Thomas Bocklitz
(2020)Alessandra Biancolillo;Federico Marini;Jean‐Michel Roger
(2020)Mario Lovrić;Kristina Pavlović;Petar Žuvela;Adrian Spataru
(2021)Olav Martin Kvalheim
(2020)Alejandro C. Olivieri;Romà Tauler
(2020)Silvana M. Azcarate;Silvana M. Azcarate;Licarion Pinto;Héctor C. Goicoechea;Héctor C. Goicoechea
(2020)Romà Tauler
(2021)Alejandro C. Olivieri;Romà Tauler
(2021)Alejandro Cesar Olivieri
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