Amer Diwan
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
- Software top 0.5%
- Software Testing and Debugging Techniques
Papers in
- Software 25
- Software Testing and Debugging Techniques 20
-
- Parallel Computing and Optimization Techniques 40
- Co-authors
- J. Eliot B. MossMatthias HauswirthPeter F. SweeneyJohannes HenkelKathryn S. McKinleyTodd MytkowiczMartin HirzelDaniel von Dincklage
- Journals
- ACM SIGPLAN Notices (18 papers)Software Practice and Experience (6 papers)ACM Transactions on Programming Languages and Systems (5 papers)ACM Transactions on Software Engineering and Methodology (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Amer Diwan
98 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Hardware and Architecture 1.8k
- Software 896
- Computer Networks and Communications 1.8k
- Information Systems 1.6k
- Artificial Intelligence 1.6k
Countries citing papers authored by Amer Diwan
This map shows the geographic impact of Amer Diwan'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 Amer Diwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amer Diwan more than expected).
Fields of papers citing papers by Amer Diwan
This network shows the impact of papers produced by Amer Diwan. 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 Amer Diwan. The network helps show where Amer Diwan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amer Diwan, 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 | Performance Analysis of Cloud Applications | 2018 | 16 |
| 2 | 2017 | 26 | |
| 3 | 2014 | 2 | |
| 4 | 2010 | 3 | |
| 5 | 2009 | 39 | |
| 6 | 2009 | 212 | |
| 7 | 2007 | 4 | |
| 8 | The DaCapo benchmarks Hit paper breakdown → | 2006 | 1139 |
| 9 | 2006 | 3 | |
| 10 | 2006 | 164 | |
| 11 | The Need for a Whole-System View of Performance. | 2005 | 0 |
| 12 | 2005 | 43 | |
| 13 | 2004 | 5 | |
| 14 | Phases in Branch Targets of Java Programs ; CU-CS-983-04 | 2004 | 1 |
| 15 | 2003 | 2 | |
| 16 | 2002 | 0 | |
| 17 | 2002 | 1 | |
| 18 | 2002 | 1 | |
| 19 | 2000 | 1 | |
| 20 | Goals and Design of the Whole Program Optimizer | 1996 | 1 |
About Amer Diwan
Amer Diwan is a scholar working on Software, Hardware and Architecture, Information Systems, Computer Networks and Communications and Computer Science Applications, having authored 106 papers that have together received 3.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (40 papers), Software Engineering Research (33 papers), Logic, programming, and type systems (28 papers), Software System Performance and Reliability (23 papers), Software Testing and Debugging Techniques (20 papers), Cloud Computing and Resource Management (18 papers), Distributed systems and fault tolerance (14 papers) and Formal Methods in Verification (10 papers). The work is most often cited by research in Hardware and Architecture (1.8k citations), Software (896 citations), Computer Networks and Communications (1.8k citations), Information Systems (1.6k citations) and Artificial Intelligence (1.6k citations). Amer Diwan has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include J. Eliot B. Moss, Matthias Hauswirth, Peter F. Sweeney, Johannes Henkel, Kathryn S. McKinley, Todd Mytkowicz, Martin Hirzel, Daniel von Dincklage, Michèle H. Jackson and Han Lee. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, ACM Transactions on Programming Languages and Systems, ACM Transactions on Software Engineering and Methodology and Communications of the ACM.
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.