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Research Square (RS)

Publisher :

Springer Nature

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • multidisciplinary
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 in - 2013, Impact Factor

Not Provide Crossref DOI

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

Publications of RS

  • dott image September, 2021

Investigation On Ultra-Compact, High Contrast Ratio 2d-Photonic Crystal Based All Optical 4 x 2 Encoder

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...

  • dott image November, 2021

Bioinformatics approaches to investigate the phytochemicals of Centella asiatica against the main protease of SARS-CoV-2

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 ...

  • dott image June, 2023

ElegansAI: how a biological neural network would compare with artificial networks?

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 ...

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