Michael Abramovici

1.7k citations
54 papers · 1000 · h-index 14

Impact in

Papers in

Michael Abramovici

51 papers receiving 933 citations

Peers

Michael Abramovici
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 460
  • Management of Technology and Innovation 216
  • Marketing 213
  • Human-Computer Interaction 114
  • Geology 65
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Citations per field
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Citations per year

Countries citing papers authored by Michael Abramovici

Since Specialization
Citations

This map shows the geographic impact of Michael Abramovici'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 Michael Abramovici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Abramovici more than expected).

Fields of papers citing papers by Michael Abramovici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Abramovici. 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 Michael Abramovici. The network helps show where Michael Abramovici may publish in the future.

Co-authors

The 18 scholars most cited alongside Michael Abramovici, 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 Michael Abramovici Line = papers co-authored together Michael Abramovici links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 2019112
3 201687
4 201383
5 201579
6 201770
7 201770
8 201132
9 201430
10 201728
11 201827
12 201514
13
DECISION SUPPORT FOR IMPROVING THE DESIGN OF HYDRAULIC SYSTEMS BY LEADING FEEDBACK INTO PRODUCT DEVELOPMENT
201114
14
Optimising Customer Satisfaction By Integrating the Customer’S Voice Into Product Development
200713
15
Competing Fusion for Bayesian Applications
200813
16
Knowledge-Based Feedback of Product Use Information into Product Development
200912
17
Metadata Reference Model for IPS2 Lifecycle Management
200912
18 200912
19 201811
20 201411

About Michael Abramovici

Michael Abramovici is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation, Marketing, Artificial Intelligence and Strategy and Management, having authored 54 papers that have together received 1000 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (17 papers), Product Development and Customization (12 papers), Service and Product Innovation (11 papers), Manufacturing Process and Optimization (9 papers), Corporate Governance and Management (7 papers), Augmented Reality Applications (6 papers), Service-Oriented Architecture and Web Services (6 papers) and Digital Innovation in Industries (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (460 citations), Management of Technology and Innovation (216 citations), Marketing (213 citations), Human-Computer Interaction (114 citations) and Geology (65 citations). Michael Abramovici has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Jens C. Göbel, Matthias Neges, Rainer Stark, Markus König, Christian Koch, Andreas Lindner, Tetsuo Tomiyama, Eric Lutters, Madjid Fathi and Mario Wolf. Their work appears in journals such as Zeitschrift für wirtschaftlichen Fabrikbetrieb, CIRP Annals, Advanced Engineering Informatics, Automation in Construction and Journal of Intelligent Manufacturing.

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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