M Abraham
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
Papers in
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- Advanced NMR Techniques and Applications 2
- Mass Spectrometry Techniques and Applications 2
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- Urban Transport and Accessibility 2
- Co-authors
- Erik R. Lindahl (2 shared papers)Berk Hess (2 shared papers)Szilárd Páll (2 shared papers)Carsten Kutzner (1 shared paper)Jill E. Gready (2 shared papers)Christian L. Wennberg (1 shared paper)Teemu Johannes Murtola (1 shared paper)David Kline (1 shared paper)
- Journals
- Journal of Computational Chemistry (2 papers)Journal of Chemical Theory and Computation (2 papers)Health & Place (1 paper)Medical Decision Making (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
M Abraham
9 papers receiving 1.6k citations
M Abraham's Hit Papers
Peers
Comparison fields: 5 of 140
- Hardware and Architecture 79
- Molecular Biology 727
- Catalysis 65
- Filtration and Separation 18
- Spectroscopy 130
Countries citing papers authored by M Abraham
This map shows the geographic impact of M Abraham'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 M Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Abraham more than expected).
Fields of papers citing papers by M Abraham
This network shows the impact of papers produced by M Abraham. 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 M Abraham. The network helps show where M Abraham may publish in the future.
Co-authors
The 25 scholars most cited alongside M Abraham, 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 | Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS Hit paper breakdown → | 2015 | 978 |
| 2 | 2011 | 262 | |
| 3 | 2015 | 142 | |
| 4 | 2008 | 73 | |
| 5 | 2017 | 63 | |
| 6 | 2019 | 35 | |
| 7 | 2011 | 12 | |
| 8 | 2021 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2024 | 0 |
About M Abraham
M Abraham is a scholar working on Spectroscopy, Transportation, Information Systems and Management, Hardware and Architecture and Health, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Advanced NMR Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers), Urban Transport and Accessibility (2 papers), Scientific Computing and Data Management (2 papers), Health disparities and outcomes (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Hardware and Architecture (79 citations), Molecular Biology (727 citations), Catalysis (65 citations), Filtration and Separation (18 citations) and Spectroscopy (130 citations). M Abraham has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Erik R. Lindahl, Berk Hess, Szilárd Páll, Carsten Kutzner, Jill E. Gready, Christian L. Wennberg, Teemu Johannes Murtola, David Kline, Gregg Gonsalves and Michael F. Rayo. Their work appears in journals such as Journal of Computational Chemistry, Journal of Chemical Theory and Computation, Health & Place, Medical Decision Making and Journal of Chemical Information and Modeling.
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.