TechRxiv (pronounced "tech archive") is an open, moderated preprint server for unpublished research in the areas of engineering, computer science, and related technology. By using TechRxiv, authors can quickly disseminate their work to a wide audience and gain community feedback on a timestamped draft version of their research. A preprint is a draft version of an article; final versions of published articles should not be submitted to TechRxiv.

TechRxiv Scope

TechRxiv accepts unpublished research in electrical engineering, computer science, and technology. Articles suitable for posting to TechRxiv should fall within at least one of these sixteen high-level terms that describe TechRxiv's fields of interest:

  • Aerospace
  • Bioengineering
  • Communication, Networking and Broadcast Technologies
  • Components, Circuits, Devices and Systems
  • Computing and Processing
  • Engineered Materials, Dielectrics and Plasmas
  • Engineering Profession
  • Fields, Waves and Electromagnetics
  • General Topics for Engineers
  • Geoscience
  • Nuclear Engineering
  • Photonics and Electrooptics
  • Power, Energy and Industry Applications
  • Robotics and Control Systems
  • Signal Processing and Analysis
  • Transportation

TechRxiv Procedures

All submissions to TechRxiv are checked for plagiarism and offensive content (i.e., content that is disrespectful, abusive, or derogatory). Any content found to be plagiarized or offensive will be declined, as will nonscientific content or content that is not technical in nature (e.g., news, advertisements, and calls for papers). Content which does not fall within TechRxiv's scope will be declined.

All submissions to TechRxiv are also screened prior to acceptance. Screening is carried out by qualified experts in the topics covered by TechRxiv. Submissions are not peer reviewed which means that content is not screened for technical merit, completeness, or novelty. Additionally, submissions are not edited or typeset.

View our Submission Guidelines for more information on posting in TechRxiv.

TechRxiv Terms of Distribution

Authors retain copyright and choose from several distribution and reuse options under which to make their preprint available (CC BY, CC BY-SA, CC BY-NC-SA, or CC0). By posting in TechRxiv, authors explicitly consent to text mining of their work by search engines or researchers.

TechRxiv reserves the right to identify and remove any preprints that contain plagiarized material or describe experimental work that is not performed in accordance with the relevant ethical standards for research using animals or human subjects.

Removing Content from TechRxiv

All preprints posted on TechRxiv receive Digital Object Identifiers (DOIs), making them part of the citable scientific record and indexable by external services such as CrossRef and Google Scholar. As such, no posted preprint may be removed from TechRxiv. If it is discovered that there are errors in a preprint and the author wishes to withdraw it, the preprint will still appear in TechRxiv but it will be marked as "withdrawn" and annotated with comments explaining the reason for the withdrawal. In an extraordinary situation in which it is deemed necessary to remove access to a preprint (e.g., a fraudulent preprint, a duplicate preprint, or copyright infringement), the original metadata record will be retained but the record will be annotated with a note explaining the reason for removal.

TechRxiv Advisory Board

The TechRxiv Advisory Board is a group of experts across diverse subject areas who advise the management of TechRxiv on the standards that TechRxiv-hosted preprints should be held to. They act as liaisons for their peers in the engineering and technology communities and can bring new ideas, concerns and feedback to grow the service in accordance with the needs and desires of these communities. The current members of the TechRxiv Advisory Board are as follows:

Mariesa L. Crow
Affiliation: Missouri S&T

Areas: Power Electronics applications, bulk power transmission systems

W. Clem Karl
Affiliation: Boston University

Areas: Computational imaging, statistical signal and image processing, detection and estimation

José M. de la Rosa
Affiliation: Institute of Microelectronics of Seville, IMSE-CNM (CSIC / University of Seville)

Areas: Microelectronics, Analog and Mixed-Signal Integrated Circuits.

Lina Karam
Arizona State University, USA

Areas: Signal processing, computer vision, AI/Machine Learning, compression and transmission, perceptual-based processing, automated mobility