| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Earth Science | 72 | 60 | 147 | 32 |
| Environmental Sciences | 438 | 19 | 30 | 12 |
Mineral resource classification, Sustainable development, Mineralogy, Geochemistry and Coal are among the topics commonly tackled in the journal. While the journal focused on Mineral resource classification, it was also able to explore topics like Mining engineering, Prospectivity mapping, Structural basin, Petrology and Mineral exploration. The journal focuses on Sustainable development but the discussions also offer insight into other areas such as Natural resource, Natural resource economics and Resource (biology).
The journal explores research in Natural resource economics and the adjacent study of Production (economics). It focuses on Coal research which is adjacent to topics in Permeability (earth sciences).
The most cited articles generally zeroe in on subjects such as Mineral resource classification, Statistics, Artificial neural network, Mineralogy and Natural resource economics. The journal articles address concerns in Mineral resource classification which are intertwined with other disciplines, such as Mining engineering, Prospectivity mapping and Geographic information system. Aside from discussions in Mineralogy, the journal publications also deal with the subject of Spatial distribution which intersects with Kriging, Aquifer, Groundwater and Hydrology disciplines.
Natural resources research investigates areas of study like Mineral resource classification, Coal, Coal mining, Geochemistry and Permeability (earth sciences). In it, Prospectivity mapping, Structural basin, Prospecting and Petrology, Lithology are investigated in conjunction with one another to address concerns in Mineral resource classification research. The work on Prospectivity mapping tackled in Natural resources research brings together disciplines like Data mining, Artificial intelligence and Pattern recognition.
Artificial neural network is a focus of the Artificial intelligence works in it. In addition to Coal research, Natural resources research aims to explore topics under Composite material, Adsorption and Methane. Natural resources research holds forums on Coal mining that merges themes from other disciplines such as Mining engineering, Stress (mechanics) and Borehole.
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 Natural resources research (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 Natural resources research (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, 38.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.07% of all publications and 28.51% 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.
Xiliang Zhang;Hoang Nguyen;Xuan-Nam Bui;Quang-Hieu Tran
(2020)Hoang Nguyen;Carsten Drebenstedt;Xuan-Nam Bui;Dieu Tien Bui
(2020)Renguang Zuo
(2020)Tong Li;Renguang Zuo;Yihui Xiong;Yong Peng
(2021)Haiqing Yang;Mahdi Hasanipanah;M. M. Tahir;Dieu Tien Bui
(2020)D. Karunanidhi;P. Aravinthasamy;T. Subramani;Priyadarsi D. Roy
(2020)Jian Wang;Renguang Zuo;Yihui Xiong
(2020)Renguang Zuo;Oliver P. Kreuzer;Jian Wang;Yihui Xiong
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