Understanding Researchers' Use of AI Pipelines: Insights from a Survey Toward Low-/No-Code Research Platforms

This repository contains the survey questions, responses, and the data visualization scripts for the paper (Understanding Researchers’ Use of AI Pipelines: Insights from a Survey Toward Low-/No-Code Research Platforms) submitted to ESEM 2026

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20274667
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Researchers' Use of AI Pipelines: Insights from a Survey Toward Low-/No-Code Research Platforms

Anonymous
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Understanding Researchers' Use of AI Pipelines: Insights from a Survey Toward Low-/No-Code Research Platforms

Anonymous
article en

Abstract

This repository contains the survey questions, responses, and the data visualization scripts for the paper (Understanding Researchers’ Use of AI Pipelines: Insights from a Survey Toward Low-/No-Code Research Platforms) submitted to ESEM 2026

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.