| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 716 | 18 | 23 | 7 |
The discussions in Biometrics mainly cover the fields of Statistics, Econometrics, Estimator, Covariate and Applied mathematics. It connects research in Statistics with the related topic of Estimation. It explores issues in Econometrics which can be linked to other research areas like Inference, Regression, Proportional hazards model, Bayesian probability and Random effects model.
The most cited publications primarily focus on research topics in Statistics, Econometrics, Estimator, Covariate and Regression analysis. The study on Statistics presented in the published articles is investigated in conjunction with research in Variance (accounting). The most cited papers facilitate discussions on Econometrics that incorporate concepts from other fields like Logistic regression, Regression, Estimation, Survival analysis and Random effects model.
The main research concerns discussed in Biometrics are Statistics, Estimator, Covariate, Artificial intelligence and Inference. The concepts on Statistics presented in the journal can also apply to other research fields, including Estimation and Randomized controlled trial. Clinical trial and Vaccine efficacy are some topics wherein Randomized controlled trial research discussed in the journal have an impact.
The study of Econometrics and how it intertwines with concepts under Contrast (statistics) were explored in the presented Estimator research. Biometrics addresses concerns in Covariate which are intertwined with other disciplines, such as Linear regression, Missing data, Regression, Expectation–maximization algorithm and Regression analysis. Biometrics facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning and Pattern recognition.
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 Biometrics (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 Biometrics (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, 0.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 36.89% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.30% of all publications and 35.25% 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.
While we've explored the wide range of research areas, topics, and relevant publications within Biometrics, one aspect we haven't touched on is what careers these researchers might go into and how their education fits into these opportunities. This field's specialists often become teachers, research scientists, business analysts, or technology professionals. Many aspiring academics interested in these roles will need strong algorithmic and statistical knowledge - fortunately, these are inherent in the study of Biometrics. Potential career paths can range from designing algorithms for a tech startup to obtaining a teaching credential and teaching the next generation of researchers. For those interested in teaching, there are several pathways to obtaining certification, balancing affordability and flexibility. In some states, like Arkansas, several online programs allow for expedited, cost-effective methods to achieve this certification. For more information, you can check our guide to the cheapest teaching credential programs in Arkansas. Whether it's stepping into the classroom or breaking new technological ground, the diverse nature of Biometrics research and its associated fields offer numerous exciting career prospects.
Xu Gao;Weining Shen;Liwen Zhang;Jianhua Hu
(2021)Christine B. Peterson;Nathan Osborne;Francesco C. Stingo;Pierrick Bourgeat
(2020)Rui Duan;Yang Ning;Shuang Wang;Bruce G. Lindsay
(2020)Yue Wei;Yi Liu;Tao Sun;Wei Chen
(2020)Lucy L. Gao;Daniela Witten;Jacob Bien
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