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Journal Photo for Research Square
Peer reviewed only Open Access

Research Square (RS)

Publisher : Springer Nature
multidisciplinary
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e-ISSN 2693-5015
Issue Frequency Continuously
Est. Year 2013
Mobile 18007774643
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email info@researchsquare.com

Journal Descriptions

Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Research Square is a multidisciplinary preprint platform. You can submit directly to the platform or opt in to In Review, a free preprint service, when you submit to a participating journal.

Research Square (RS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, multidisciplinary , Online , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2693-5015, Established: 2013,
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of RS

Investigation On Ultra-Compact, High Contrast Ratio 2d-Photonic Crystal Based All Optical 4 x 2 Encoder
V. KAVITHA September, 2021
Optical encoder is playing an essential starring role in optical communication and computing applications. This paper presents a new structure for 4 x 2 optical encoder based on Two Dimensio...
Bioinformatics approaches to investigate the phytochemicals of Centella asiatica against the main protease of SARS-CoV-2
Mohammad Ali Moni November, 2021
The recent pandemic caused by the novel coronavirus SARS-CoV-2 has impacted global health by increasing mortality and unexpected infection rate. Extensive clinical research is undergoing to ...
ElegansAI: how a biological neural network would compare with artificial networks?
Pietro Liò June, 2023
This paper presents ElegansAI, a neural network model that leverages the connectome topology of the Caenorhabditis elegans to design and generate advanced learning systems. The objective of ...