| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 249 | 21 | 45 | 11 |
| Computer Science | 730 | 12 | 28 | 7 |
The discussions in the journal mainly cover the fields of Combinatorics, Discrete mathematics, Graph, Chordal graph and Indifference graph. Vertex (graph theory), Domination analysis, Vertex (geometry), Line graph and 1-planar graph are all topics related to Combinatorics research discussed. Edge coloring, Pathwidth, Graph power, Symmetric graph and Dominating set studies are all carried out as a component of the study in Discrete mathematics presented.
Issues in Edge coloring were discussed, taking into consideration concepts from other disciplines like List coloring, Complete coloring, Brooks' theorem, Greedy coloring and Graph coloring. The journal explores research in Complete coloring and the adjacent study of Fractional coloring. Cograph and Maximal independent set are all aspects of Chordal graph discussed in the journal.
The published articles are organized to address concerns in the fields of Combinatorics, Discrete mathematics, Graph, Vertex (geometry) and Dominating set. The journal publications aim to address concerns in Combinatorics, specifically in the areas of Domination analysis, Edge coloring, Vertex (graph theory), Chordal graph and List coloring. The most cited publications dive deep in exploring the relationship between the study of Discrete mathematics and Graph (abstract data type).
The primary areas of discussion in the journal are Combinatorics, Graph, Domination analysis, Connectivity and Chromatic scale. The work tackled in Discussiones Mathematicae Graph Theory goes beyond the discipline of Combinatorics as it also encompasses Upper and lower bounds. The journal addresses concerns in Upper and lower bounds which are intertwined with other disciplines, such as Order (ring theory) and Girth (graph theory).
While work presented in the journal provided substantial information on Graph, it also covered topics in Bounded function and Integer. While Connectivity is the focus of the journal, it also provided insights into the studies of Structure (category theory), Contractible space and Path (graph theory). Class (set theory), Cardinality and Graph operations are some topics wherein Vertex (geometry) research discussed in Discussiones Mathematicae Graph Theory have an impact.
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 Discussiones Mathematicae Graph Theory (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 Discussiones Mathematicae Graph Theory (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, 96.58% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 25.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 25.00% 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.
Modjtaba Ghorbani;Sandi Klavžar;Hamid Reza Maimani;Mostafa Momeni
(2021)Mustapha Chellali;Nader Jafari Rad;Seyed Mahmoud Sheikholeslami;Lutz Volkmann
(2020)Boštjan Brešar;Jasmina Ferme;Sandi Klavžar;Douglas F. Rall
(2020)Teresa W. Haynes;Jason T. Hedetniemi;Stephen T. Hedetniemi;Alice A. McRae
(2021)Paul Manuel;Sandi Klavžar;Antony Xavier;Andrew Arokiaraj
(2020)Randy Davila;Michael A. Henning
(2020)Pursuing a degree in Computer Science opens diverse career opportunities, many of which can be further specialized through related online programs. For students interested in building foundational skills in technology and problem-solving, online engineering degrees offer a cost-effective way to gain expertise in fields like software and hardware development.
Those passionate about creativity and interactive media might consider advancing their education with a game design masters online. This specialized path emphasizes programming, storytelling, and user experience in gaming environments, which are increasingly in demand globally.
Cybersecurity remains a critical and rapidly growing field for safeguarding information and digital assets. Earning a degree from reputable cyber security schools online prepares graduates to address emerging threats and protect organizational infrastructures.
For those focusing on data-driven decision-making, online programs offering the best data science master's programs provide advanced skills in analytics, machine learning, and big data technology—key competencies sought by employers across industries. These varied pathways demonstrate how online education can complement a Computer Science degree and align with evolving career goals.
