Martin Dirr
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
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- Energy Efficiency and Management
Papers in
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- Sustainable Supply Chain Management 2
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- Information Systems Theories and Implementation 1
- Co-authors
- Axel Tuma (3 shared papers)Christian Gahm (1 shared paper)Dennis Stindt (2 shared papers)Andrew Gibson (1 shared paper)João Quariguasi Frota Neto (1 shared paper)
- Journals
- Journal of Industrial Ecology (1 paper)Journal of the Association for Information Systems (1 paper)European Journal of Operational Research (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Martin Dirr
3 papers receiving 358 citations
Peers
Comparison fields: 5 of 52
- Industrial and Manufacturing Engineering 275
- Renewable Energy, Sustainability and the Environment 124
- Management Information Systems 30
- Strategy and Management 50
- Control and Systems Engineering 60
Countries citing papers authored by Martin Dirr
This map shows the geographic impact of Martin Dirr'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 Martin Dirr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Dirr more than expected).
Fields of papers citing papers by Martin Dirr
This network shows the impact of papers produced by Martin Dirr. 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 Martin Dirr. The network helps show where Martin Dirr may publish in the future.
Co-authors
The 5 scholars most cited alongside Martin Dirr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 350 | |
| 2 | An Environmental Management Information System for Closing Knowledge Gaps in Corporate Sustainable Decision-Making | 2014 | 12 |
| 3 | 2016 | 10 |
About Martin Dirr
Martin Dirr is a scholar working on Strategy and Management, Sociology and Political Science, Industrial and Manufacturing Engineering, Marketing and Building and Construction, having authored 3 papers that have together received 372 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (2 papers), Recycling and Waste Management Techniques (1 paper), Green IT and Sustainability (1 paper), Sustainable Industrial Ecology (1 paper), Energy Efficiency and Management (1 paper), Environmental Sustainability in Business (1 paper), Building Energy and Comfort Optimization (1 paper) and Information Systems Theories and Implementation (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (275 citations), Renewable Energy, Sustainability and the Environment (124 citations), Management Information Systems (30 citations), Strategy and Management (50 citations) and Control and Systems Engineering (60 citations). Martin Dirr has collaborated with scholars based in Germany and United States. Frequent co-authors include Axel Tuma, Christian Gahm, Dennis Stindt, Andrew Gibson and João Quariguasi Frota Neto. Their work appears in journals such as Journal of Industrial Ecology, Journal of the Association for Information Systems and European Journal of Operational Research.
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.