Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Logistics 4.0: a systematic review towards a new logistics system
2019468 citationsSven Winkelhaus, Eric H. GrosseInternational Journal of Production Researchprofile →
Industry 4.0 and the human factor – A systems framework and analysis methodology for successful development
2020357 citationsPatrick Neumann, Sven Winkelhaus et al.International Journal of Production Economicsprofile →
Incorporating human factors in order picking planning models: framework and research opportunities
2014276 citationsEric H. Grosse, C. H. Glock et al.International Journal of Production Researchprofile →
Human-centric production and logistics system design and management: transitioning from Industry 4.0 to Industry 5.0
2023100 citationsEric H. Grosse, Fabio Sgarbossa et al.International Journal of Production Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Eric H. Grosse
Since
Specialization
Citations
This map shows the geographic impact of Eric H. Grosse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric H. Grosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric H. Grosse more than expected).
This network shows the impact of papers produced by Eric H. Grosse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric H. Grosse. The network helps show where Eric H. Grosse may publish in the future.
Co-authorship network of co-authors of Eric H. Grosse
This figure shows the co-authorship network connecting the top 25 collaborators of Eric H. Grosse.
A scholar is included among the top collaborators of Eric H. Grosse based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Eric H. Grosse. Eric H. Grosse is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grosse, Eric H., Fabio Sgarbossa, Cecilia Berlin, & Patrick Neumann. (2023). Human-centric production and logistics system design and management: transitioning from Industry 4.0 to Industry 5.0. International Journal of Production Research. 61(22). 7749–7759.100 indexed citations breakdown →
Winkelhaus, Sven, Eric H. Grosse, Patrick Neumann, & C. H. Glock. (2020). Industry 4.0 and the Human Factor – A Systems Framework for Successful Development. TUbilio (Technical University of Darmstadt).1 indexed citations
Glock, C. H., et al.. (2017). Machine scheduling problems in production: A tertiary study. Publications of Darmstadt Technical University, Institute for Business Studies (BWL).2 indexed citations
14.
Sgarbossa, Fabio, et al.. (2017). Analytical models for a joint posture and fatigue analysis in order picking. TUbilio (Technical University of Darmstadt).2 indexed citations
Grosse, Eric H., C. H. Glock, Mohamad Y. Jaber, & Patrick Neumann. (2014). Incorporating human factors in order picking planning models: framework and research opportunities. International Journal of Production Research. 53(3). 695–717.276 indexed citations breakdown →
Cox, Russ, Eric H. Grosse, Robert N. Pike, David L. Presotto, & Sean Quinlan. (2002). Security in Plan 9. USENIX Security Symposium. 3–16.21 indexed citations
Grosse, Eric H.. (1980). Tensor spline approximation. Linear Algebra and its Applications. 34. 29–41.28 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.