Granular Computing Template
Write in a clean editor, then format for Granular Computing in one click — DocuGuru applies the official Springer Nature template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Granular Computing format
Granular Computing is a peer-reviewed journal published by Springer Nature, covering Multi-Criteria Decision Making, Rough Sets and Fuzzy Logic, Fuzzy Systems and Optimization.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (Springer Basic) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C (2023) A representative article title. Granular Computing 12:45–58
Formats any DOI in Granular Computing style. No sign-up. |
| Publishes research in | Multi-Criteria Decision Making Rough Sets and Fuzzy Logic Fuzzy Systems and Optimization Optimization and Mathematical Programming Fuzzy Logic and Control Systems |
| ISSN | 2364-4966 |
| Citation impact (2-yr) | 9.68 |
| h-index | 59 |
| i10-index | 347 |
| Total citations | 13,279 |
| Article processing charge | $2,990 |
| Top institutions publishing here | University of the Punjab |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Granular Computing per year
Citation impact of Granular Computing by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Granular Computing
Abstract The execution of processes in companies generates traces of event data, stored in the underlying information system(s), capturing the actual execution of the process. Analyzing event data, i.e., the focus of process mining, yields a detailed understanding of the process, e.g., we are able to discover the control flow of the process and detect…
Abstract Decision support in solving problems related to complex systems requires relevant computation models for the agents as well as methods for reasoning on properties of computations performed by agents. Agents are performing computations on complex objects [e.g., (behavioral) patterns, classifiers, clusters, structural objects, sets of rules, aggregation operations, (approximate) reasoning schemes]. In Granular Computing…