Papers

3

Total Citations

42

H-Index

3

About

Jonas Koreis is an emerging researcher specializing in warehouse intralogistics, human-robot collaboration, and automation in retail supply chain operations. His work addresses one of the most pressing challenges facing modern retailers: how to effectively integrate robotic systems into manual order picking workflows amid rising labor costs and persistent workforce shortages. Koreis's most cited contribution, "Together, we travel" (2023, 25 citations), offers empirical insights into hybrid order picking systems where humans and robots share workspaces, objectives, and time — a complex operational dynamic that demands rigorous investigation. This foundational work established him as a thoughtful empiricist in a field often dominated by simulation-based approaches. His follow-up studies deepen this agenda: his 2025 paper on AGV-assisted picking examines system-level performance implications, while his 2024 comparative study explores how experience shapes performance variability when human-robot teams are contrasted with traditional manual teams. With over 40 cumulative citations across just three publications spanning two years, Koreis has demonstrated remarkable early-career productivity and relevance. His research speaks directly to practitioners and academics alike, bridging production economics with organizational behavior in automated warehouse environments — making him a researcher worth watching closely in the evolving field of intralogistics automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
42
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Together, we travel: empirical insights on human-robot collaborative order picking for retail warehousing
25 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Göttingen, Technische Universität Darmstadt

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago