Cliff Click
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 8
-
- Logic, programming, and type systems 6
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Michael Paleczny (3 shared papers)Christopher A. Vick (1 shared paper)Keith D. Cooper (1 shared paper)Michael M. Wolf (1 shared paper)John R. Rose (1 shared paper)José Nelson Amaral (1 shared paper)Matthias Hauswirth (1 shared paper)Nathaniel Nystrom (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)ACM Transactions on Programming Languages and Systems (2 papers)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Cliff Click
13 papers receiving 596 citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 478
- Software 170
- Artificial Intelligence 422
- Computer Networks and Communications 272
- Computational Theory and Mathematics 112
Countries citing papers authored by Cliff Click
This map shows the geographic impact of Cliff Click'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 Cliff Click with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliff Click more than expected).
Fields of papers citing papers by Cliff Click
This network shows the impact of papers produced by Cliff Click. 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 Cliff Click. The network helps show where Cliff Click may publish in the future.
Co-authors
The 23 scholars most cited alongside Cliff Click, 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 | The java hotspot TM server compiler | 2001 | 209 |
| 2 | 2005 | 121 | |
| 3 | 1995 | 113 | |
| 4 | 1995 | 84 | |
| 5 | 1995 | 51 | |
| 6 | 2002 | 24 | |
| 7 | 1995 | 22 | |
| 8 | 2016 | 19 | |
| 9 | 1995 | 18 | |
| 10 | R Interface for the 'H2O' Scalable Machine Learning Platform [R package h2o version 3.32.0.1] | 2020 | 4 |
| 11 | 2008 | 3 | |
| 12 | Object oriented programming in fifth | 1986 | 1 |
| 13 | 2009 | 1 |
About Cliff Click
Cliff Click is a scholar working on Hardware and Architecture, Artificial Intelligence, Software, Computer Networks and Communications and Computational Theory and Mathematics, having authored 13 papers that have together received 670 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (6 papers), Software Testing and Debugging Techniques (5 papers), Distributed and Parallel Computing Systems (2 papers), Formal Methods in Verification (2 papers), Distributed systems and fault tolerance (2 papers), Numerical Methods and Algorithms (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Hardware and Architecture (478 citations), Software (170 citations), Artificial Intelligence (422 citations), Computer Networks and Communications (272 citations) and Computational Theory and Mathematics (112 citations). Cliff Click has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Michael Paleczny, Christopher A. Vick, Keith D. Cooper, Michael M. Wolf, John R. Rose, José Nelson Amaral, Matthias Hauswirth, Nathaniel Nystrom, Stephen M. Blackburn and Tim Brecht. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Lecture notes in computer science.
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.