Nada Amin
- Cancer Research top 0.1%
- Molecular Biology top 0.05%
- Immunology top 0.5%
- Aging top 1%
- Biological Psychiatry top 1%
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- Logic, programming, and type systems 24
- Advanced Software Engineering Methodologies 5
- Logic, Reasoning, and Knowledge 4
- Security and Verification in Computing 4
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- Parallel Computing and Optimization Techniques 11
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- Advanced Database Systems and Queries 9
- Distributed systems and fault tolerance 6
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- Software Engineering Research 3
- Co-authors
- Trey IdekerDaniel RamageNitin S. BaligaPaul ShannonBenno SchwikowskiOwen OzierTiark RompfMartin Odersky
- Journals
- ACM SIGPLAN Notices (7 papers)Proceedings of the ACM on Programming Languages (6 papers)Journal of Functional Programming (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Nada Amin
29 papers receiving 34.9k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Cancer Research 5.5k
- Molecular Biology 21.8k
- Immunology 3.2k
- Aging 254
- Biological Psychiatry 343
Countries citing papers authored by Nada Amin
This map shows the geographic impact of Nada Amin'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 Nada Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Amin more than expected).
Fields of papers citing papers by Nada Amin
This network shows the impact of papers produced by Nada Amin. 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 Nada Amin. The network helps show where Nada Amin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nada Amin, 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 | 2023 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 20 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 4 | |
| 6 | 2017 | 9 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 11 | |
| 11 | 2016 | 26 | |
| 12 | 2016 | 7 | |
| 13 | 2016 | 31 | |
| 14 | 2015 | 21 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 24 | |
| 17 | 2013 | 15 | |
| 18 | 2013 | 12 | |
| 19 | Dependent Object Types Towards a foundation for Scala's type system | 2012 | 0 |
| 20 | Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networksbreakdown → | 2003 | 34768 |
About Nada Amin
Nada Amin is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 31 papers that have together received 35.2k indexed citations. Recurring topics across this work include Logic, programming, and type systems (24 papers), Parallel Computing and Optimization Techniques (11 papers), Advanced Database Systems and Queries (9 papers), Distributed systems and fault tolerance (6 papers), Advanced Software Engineering Methodologies (5 papers), Logic, Reasoning, and Knowledge (4 papers), Security and Verification in Computing (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Cancer Research (5.5k citations), Molecular Biology (21.8k citations) and Immunology (3.2k citations). Nada Amin has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Trey Ideker, Daniel Ramage, Nitin S. Baliga, Paul Shannon, Benno Schwikowski, Owen Ozier, Tiark Rompf, Martin Odersky, Saman Amarasinghe and William Thies. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Journal of Functional Programming, Genome Research and LISP and Symbolic Computation.
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.