| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 153 | 60 | 102 | 14 |
| Computer Science | 493 | 34 | 62 | 12 |
| Engineering and Technology | 978 | 12 | 25 | 8 |
Combinatorics, Discrete mathematics, Random graph, Horticulture and Random regular graph are among the topics commonly tackled in Random Structures and Algorithms. It aims to form a more comprehensive understanding of the field by integrating disciplines like Combinatorics and struct. The study on Discrete mathematics presented is investigated in conjunction with research in Bounded function.
More specifically, the research on Random graph in it is related to Giant component. It facilitated presentations on Horticulture research, particularly Cultivar, Cutting and Germination.
The journal papers generally zeroe in on subjects such as Combinatorics, Discrete mathematics, Random graph, Random regular graph and struct. While the journal papers focused on Combinatorics, they were also able to explore topics like Upper and lower bounds and Bounded function. In addition to Random graph research, the journal publications aim to explore topics under Pathwidth, Dense graph and Spanning tree.
The objective of Random Structures and Algorithms is to combine knowledge in the areas of Combinatorics, Random graph, Limit (mathematics), Degree (graph theory) and Conjecture. Graph, Vertex (graph theory), Vertex (geometry), Graph (abstract data type) and Hypergraph are all subfields of Combinatorics research that were featured in the journal. Almost surely, Stochastic block model, Minimum spanning tree and Homomorphism are some topics wherein Random graph research discussed in it have an impact.
The concepts on Limit (mathematics) presented in the journal can also apply to other research fields, including Convergence (routing), Logarithm, Central limit theorem, Statistical physics and Scaling limit. Topics in Degree (graph theory) were tackled in line with various other fields like Bounded function, Distribution (number theory) and Girth (graph theory). Issues in Conjecture were discussed, taking into consideration concepts from other disciplines like Order (ring theory), Type (model theory), Generalization, Partition (number theory) and Clique (graph theory).
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 Random Structures and Algorithms (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 Random Structures and Algorithms (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, 15.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.95% of all publications and 40.79% 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.
Andrzej Dudek;Christian Reiher;Andrzej Ruciński;Mathias Schacht
(2020)Andrii Arman;Pu Gao;Nicholas C. Wormald
(2021)Elchanan Mossel;Jiaming Xu
(2020)Nikhil Bansal;Joel H. Spencer
(2020)François Bienvenu;François Bienvenu;Amaury Lambert;Amaury Lambert;Mike Steel
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