Eric H. Grosse

9.8k citations
144 papers · 6.2k indexed · 4 hit papers · h-index 44

Eric H. Grosse

134 papers receiving 5.9k citations

Hit Papers

Human-centric produc...1002014202620182022100200300400

Peers

Eric H. Grosse
Comparison fields: 5 of 210
  • Industrial and Manufacturing Engineering 3.0k
  • Management Information Systems 816
  • Medical Laboratory Technology 89
  • Building and Construction 772
  • Strategy and Management 833
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Citations per field
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Citations per year

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).

Fields of papers citing papers by Eric H. Grosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Eric H. Grosse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric H. Grosse Line = papers co-authored together Eric H. Grosse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 202355
5 20233
6
Human-centric production and logistics system design and management: transitioning from Industry 4.0 to Industry 5.0breakdown →
2023100
7 202355
8 20221
9 20226
10 20225
11 202113
12
Industry 4.0 and the Human Factor – A Systems Framework for Successful Development
20201
13 20191
14
Machine scheduling problems in production: A tertiary study
20172
15
Analytical models for a joint posture and fatigue analysis in order picking
20172
16 20153
17 201559
18
Incorporating human factors in order picking planning models: framework and research opportunitiesbreakdown →
2014276
19 20130
20
Security in Plan 9
200221

About Eric H. Grosse

Eric H. Grosse is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Medical Laboratory Technology, having authored 144 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (56 papers), Assembly Line Balancing Optimization (30 papers), Flexible and Reconfigurable Manufacturing Systems (21 papers), Digital Transformation in Industry (19 papers), Urban and Freight Transport Logistics (13 papers), Optimization and Packing Problems (12 papers), Quality and Supply Management (12 papers) and Scheduling and Optimization Algorithms (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (3.0k citations), Management Information Systems (816 citations) and Medical Laboratory Technology (89 citations). Eric H. Grosse has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include C. H. Glock, Sven Winkelhaus, Patrick Neumann, William S. Cleveland, Susan J. Devlin, Mohamad Y. Jaber, J. M. Ries, Fabio Sgarbossa, Jack Dongarra and W.M. Coughran. Their work appears in journals such as International Journal of Production Research, International Journal of Production Economics, Computers & Industrial Engineering, European Journal of Operational Research and Zeitschrift für wirtschaftlichen Fabrikbetrieb.

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.

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