Martin Schreiber
- Numerical Analysis top 10%
- Numerical methods for differential equations 7
- Medical Laboratory Technology top 10%
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 6
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics 4
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- Flexible and Reconfigurable Manufacturing Systems 6
- Manufacturing Process and Optimization 5
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- Advanced Data Storage Technologies 7
- Distributed and Parallel Computing Systems 6
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- Meteorological Phenomena and Simulations 4
- Co-authors
- Rolf SpreiterPeter GünterFrançois DiederichChristian BosshardPedro S. PeixotoHans‐Joachim BungartzPhilipp NeumannChristoph Richter
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Martin Schreiber
35 papers receiving 386 citations
Peers
Comparison fields: 5 of 82
- Numerical Analysis 59
- Medical Laboratory Technology 9
- Hardware and Architecture 35
- Computational Mechanics 94
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Martin Schreiber
This map shows the geographic impact of Martin Schreiber'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 Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schreiber more than expected).
Fields of papers citing papers by Martin Schreiber
This network shows the impact of papers produced by Martin Schreiber. 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 Schreiber. The network helps show where Martin Schreiber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Schreiber, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 11 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 10 | |
| 10 | 2014 | 3 | |
| 11 | 2014 | 5 | |
| 12 | 2014 | 1 | |
| 13 | Invasive computing with iOMP | 2012 | 6 |
| 14 | 2011 | 15 | |
| 15 | Information Systems for Building an ERA in the Field of ICT for Environmental Sustainability | 2009 | 1 |
| 16 | 1997 | 12 | |
| 17 | 1996 | 2 | |
| 18 | 1995 | 1 | |
| 19 | 1984 | 9 | |
| 20 | 1983 | 1 |
About Martin Schreiber
Martin Schreiber is a scholar working on Numerical Analysis, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Numerical methods for differential equations (7 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (6 papers), Manufacturing Process and Optimization (5 papers), Meteorological Phenomena and Simulations (4 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). The work is most often cited by research in Numerical Analysis (59 citations), Medical Laboratory Technology (9 citations) and Hardware and Architecture (35 citations). Martin Schreiber has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Rolf Spreiter, Peter Günter, François Diederich, Christian Bosshard, Pedro S. Peixoto, Hans‐Joachim Bungartz, Philipp Neumann, Christoph Richter, Martin Schulz and Günther Reinhart. Their work appears in journals such as Advanced Materials, The Journal of Physical Chemistry B and Cancer.
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.