SCIESCOPUSQ4
e-Informatica Software Engineering Journal
WROCLAW UNIV TECHNOLOGY, FAC COMPUTER SCIENCE & MANAGEMENT, Poland
e-Informatica Software Engineering Journal is an academic journal published by WROCLAW UNIV TECHNOLOGY, FAC COMPUTER SCIENCE & MANAGEMENT (Poland). Identifiers: ISSN 1897-7979, eISSN 2084-4840. Indexed in SCIE, SCOPUS. Metrics: JIF 1.2, CiteScore 3.5, SJR 0.376, SNIP 0.73. Subject areas: COMPUTER SCIENCE, SOFTWARE ENGINEERING. tlooto lists 21 papers from this journal.
CiteScore
3.50
Scopus citation metric
SJR
0.376
SCImago rank
SNIP
0.73
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1897-7979
- eISSN
- 2084-4840
- Abbreviation
- E-INFORMATICA
- Publisher
- WROCLAW UNIV TECHNOLOGY, FAC COMPUTER SCIENCE & MANAGEMENT
- Country
- Poland
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
170117122200 General Engineering2201 Engineering (miscellaneous)
Papers in this journal
Recent papers
- The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
2027
- Text-to-SQL Dataset Quality Assessment: A Multi-Dimensional Validation Framework
2027
- Bridging Humans and LLMs: Investigating Human-AI Collaboration in Multi-agent Requirements Analysis for Organizational AI Adoption
2026 · 1 citations
- Bridging Participatory Co-Design and Model-Driven Engineering for Community-Based Web-3D Framework Development: Method and Validation
2026
- {KPSO}-Fuzzy: {An} {AI}-based Hybrid Approach for Software Requirements Prioritization
2026
Most cited papers
- Bridging Humans and LLMs: Investigating Human-AI Collaboration in Multi-agent Requirements Analysis for Organizational AI Adoption
2026 · 3 citations
- Trustworthy Assembly of Components using the B Refnement
2008 · 2 citations
- A Defect Classification Framework for AI-Based Software Systems (AIODC)
2026 · 1 citations
- Challenges of Requirements Communication and Digital Assets Verification in Infrastructure Projects
2025 · 1 citations
- A Novel Approach for Enhancing Code Smell Detection Using Random Convolutional Kernel Transform
2025 · 1 citations