| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 334 | 77 | 86 | 17 |
Combinatorics, Discrete mathematics, Approximation algorithm, Algorithm and Upper and lower bounds are the subjects of interest in the journal. The Combinatorics study tackled is a key component of adjacent topics in the area of Bounded function. The studies tackled, which mainly focus on Discrete mathematics, apply to Constant (mathematics) as well.
The studies in Approximation algorithm featured incorporate elements of Linear programming relaxation, Facility location problem and Steiner tree problem. Most of the Algorithm studies addressed also intersect with Theoretical computer science. While work presented in it provided substantial information on Mathematical optimization, it also covered topics in Scheduling (computing) and Competitive analysis.
Job shop scheduling is a major topic of Scheduling (computing) research presented in it. More specifically, the research on Binary logarithm in the journal is related to Log-log plot. Studies on Chordal graph discussed in the journal link to the field of Pathwidth.
The main points discussed in the most cited publications deal with Combinatorics, Discrete mathematics, Mathematical optimization, Algorithm and Time complexity. The most cited papers explore topics in Combinatorics which can be helpful for research in disciplines like Upper and lower bounds and Bounded function. The Discrete mathematics research tackled in the most cited publications is interrelated with Parameterized complexity which concerns subjects like Transversal (combinatorics) and Polynomial.
Combinatorics, Discrete mathematics, Upper and lower bounds, Approximation algorithm and Graph (abstract data type) are among the topics commonly tackled in the journal. ACM Transactions on Algorithms tackles issues in Combinatorics, particularly in the topics of Parameterized complexity, Induced subgraph, Time complexity, Binary logarithm and Unique games conjecture. It addresses concerns in Discrete mathematics which are intertwined with other disciplines, such as Matrix (mathematics), Reduction (complexity), Bounded function, Polynomial and Constraint satisfaction problem.
While it focused on Upper and lower bounds, it was also able to explore topics like Convex hull, Sorting, Priority queue, Consistency (statistics) and Computation. The concepts on Approximation algorithm presented in the journal can also apply to other research fields, including Directed graph, Planar graph, Boundary (topology), Knapsack problem and Square (algebra). In addition to Graph (abstract data type) research, ACM Transactions on Algorithms aims to explore topics under Algorithm, Sublinear function and Maximal independent set.
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 ACM Transactions on 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 ACM Transactions on 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 22.22% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.22% of all publications and 11.11% 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.
Building a robust understanding in fields like Combinatorics, Discrete Mathematics, and Algorithm Studies, as featured in ACM Transactions on Algorithms, opens up numerous promising career opportunities, particularly in academia. One such profession is becoming a professor specializing in these areas, teaching budding mathematicians and computer scientists the complexities and applications of algorithms.
A popular option in this line of work is to become an Art Teacher. This may seem an unlikely choice, given the mathematical nature of Algorithm Studies, but it has been found that teaching Art while integrating aspects of Algorithm Studies can foster innovative and unconventional approaches to design and problem-solving.
Then again, becoming an art educator does involve meeting certain qualifications and criteria. Especially in specific geographical areas, the benchmarks vary. If you’re planning to be an art teacher in Oregon, for example, there are certain steps you need to follow and conditions you need to meet which can be explored in more detail here (art teacher requirements Oregon).
Regardless of the field you choose, be it teaching or further research, having a solid background in Discrete Mathematics, Combinatorics, and Algorithm Studies will be immensely valuable. Keep exploring these topics as imparted by journals such as ACM Transactions on Algorithms to keep abreast of new developments in these fields and enhance your career prospects.
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(2020)Djamal Belazzougui;Fabio Cunial;Juha Kärkkäinen;Veli Mäkinen
(2020)Eden Chlamtáč;Michael Dinitz;Guy Kortsarz;Bundit Laekhanukit
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