Mohammed Alser
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Caching and Content Delivery
Papers in
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- Genomics and Phylogenetic Studies 22
- Machine Learning in Bioinformatics 5
- DNA and Biological Computing 3
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- Algorithms and Data Compression 14
- Co-authors
- Onur Mutlu (30 shared papers)Can Alkan (11 shared papers)Hasan Hassan (3 shared papers)Damla Senol Cali (10 shared papers)Juan Gómez-Luna (10 shared papers)Can Fırtına (15 shared papers)Hongyi Xin (2 shared papers)Jeremie S. Kim (8 shared papers)
- Journals
- Bioinformatics (5 papers)Genome biology (2 papers)IEEE Access (2 papers)Nature Protocols (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- SwitzerlandUnited StatesTürkiye
In The Last Decade
Mohammed Alser
40 papers receiving 695 citations
Peers
Comparison fields: 5 of 76
- Hardware and Architecture 195
- Computer Networks and Communications 218
- Artificial Intelligence 235
- Molecular Biology 365
- Electrical and Electronic Engineering 158
Countries citing papers authored by Mohammed Alser
This map shows the geographic impact of Mohammed Alser'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 Mohammed Alser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Alser more than expected).
Fields of papers citing papers by Mohammed Alser
This network shows the impact of papers produced by Mohammed Alser. 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 Mohammed Alser. The network helps show where Mohammed Alser may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed Alser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 101 | |
| 2 | 2017 | 72 | |
| 3 | 2021 | 68 | |
| 4 | 2019 | 49 | |
| 5 | 2022 | 44 | |
| 6 | 2021 | 42 | |
| 7 | NATSA: A Near-Data Processing Accelerator for Time Series Analysis. | 2020 | 40 |
| 8 | 2020 | 38 | |
| 9 | 2022 | 34 | |
| 10 | 2020 | 31 | |
| 11 | 2019 | 26 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2024 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2024 | 9 |
About Mohammed Alser
Mohammed Alser is a scholar working on Molecular Biology, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 42 papers that have together received 744 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), Algorithms and Data Compression (14 papers), Parallel Computing and Optimization Techniques (6 papers), Machine Learning in Bioinformatics (5 papers), Advancements in PLL and VCO Technologies (4 papers), Advanced Data Storage Technologies (4 papers), Low-power high-performance VLSI design (3 papers) and DNA and Biological Computing (3 papers). The work is most often cited by research in Hardware and Architecture (195 citations), Computer Networks and Communications (218 citations), Artificial Intelligence (235 citations), Molecular Biology (365 citations) and Electrical and Electronic Engineering (158 citations). Mohammed Alser has collaborated with scholars based in Switzerland, United States and Türkiye. Frequent co-authors include Onur Mutlu, Can Alkan, Hasan Hassan, Damla Senol Cali, Juan Gómez-Luna, Can Fırtına, Hongyi Xin, Jeremie S. Kim, Oğuz Ergin and Gagandeep Singh. Their work appears in journals such as Bioinformatics, Genome biology, IEEE Access, Nature Protocols and Frontiers in Public Health.
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.