| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 697 | 5 | 11 | 3 |
| Computer Science | 914 | 9 | 13 | 4 |
Quantum Information & Computation explores disciplines such as Quantum, Discrete mathematics, Quantum computer, Quantum mechanics and Quantum entanglement. While work presented in it provided substantial information on Quantum, it also covered topics in Electronic circuit, Statistical physics, Pure mathematics and Topology. Issues in Discrete mathematics were discussed, taking into consideration concepts from other disciplines like Quantum walk, State (functional analysis), Combinatorics and Upper and lower bounds.
Topics in Quantum computer were tackled in line with various other fields like Quantum information, Quantum algorithm and Algorithm, Computation. The close relationship between Theoretical computer science and Quantum key distribution is one of the points of interest dissected in Quantum information research. Issues in Quantum algorithm were discussed, taking into consideration concepts from other disciplines like Quantum capacity and Quantum operation.
Quantum mechanics, which encompasses Qubit, Quantum channel, Quantum decoherence, Quantum discord and Quantum teleportation, is the main subject of Quantum Information & Computation. The in-depth study on Quantum entanglement also explores topics in the intersecting field of Bipartite graph. It focuses on Quantum error correction but sometimes tackles the closely related topic of Quantum network which is concerned with Quantum technology, Open quantum system and Quantum cryptography.
The most cited publications aim to foster the development of research in Discrete mathematics, Quantum computer, Quantum algorithm, Quantum entanglement and Quantum information. The journal papers hold forums on Quantum computer that merge themes from other disciplines such as Atomic physics and Qubit. The journal articles explore topics in Quantum algorithm which can be helpful for research in disciplines like Algorithm and Quantum network, Quantum capacity.
The concepts of Quantum, Discrete mathematics, Quantum mechanics, Qubit and Quantum walk are tackled in the journal. State (functional analysis) and Theoretical computer science are some topics wherein Quantum research discussed in Quantum Information & Computation have an impact. Research in Quadratic equation and the interrelating topic of Hash function, Matching (graph theory), Quantum information science and Distribution (mathematics) were among the subjects of interest in the Discrete mathematics studies discussed in Quantum Information & Computation.
Many of the research works in Quantum mechanics, specifically Quantum state, Pairing and Fourier transform, closely connected to disciplines like Particle system and Multi dimensional. Some problems in Qubit that were presented in Quantum Information & Computation overlapped with concepts under Communication complexity, Arithmetic, Quantum cryptography, Message length and Alice (programming language). While Coherence (physics) is the key highlight in it, it also covered some subjects on Quantum entanglement and Computation.
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 Quantum Information & Computation (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 Quantum Information & Computation (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
Rafael I. Nepomechie
(2021)Peng Gao;Yiwei Li;Marek A. Perkowski;Xiaoyu Song
(2020)Wenjun Hou;Marek A. Perkowski
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