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 7
-
- Logic, programming, and type systems 5
- 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)Antony L. Hosking (1 shared paper)Sebastian Fischmeister (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)ACM Transactions on Programming Languages and Systems (2 papers)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Cliff Click
12 papers receiving 511 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 424
- Software 130
- Artificial Intelligence 367
- Computer Networks and Communications 254
- Computational Theory and Mathematics 85
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 | 194 |
| 2 | 2005 | 113 | |
| 3 | 1995 | 95 | |
| 4 | 1995 | 61 | |
| 5 | 1995 | 46 | |
| 6 | 2002 | 23 | |
| 7 | 2016 | 19 | |
| 8 | 1995 | 16 | |
| 9 | 1995 | 9 | |
| 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 |
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 12 papers that have together received 584 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Logic, programming, and type systems (5 papers), Software Testing and Debugging Techniques (5 papers), Distributed systems and fault tolerance (2 papers), Formal Methods in Verification (2 papers), Optimization and Search Problems (1 paper), Software Reliability and Analysis Research (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (424 citations), Software (130 citations), Artificial Intelligence (367 citations), Computer Networks and Communications (254 citations) and Computational Theory and Mathematics (85 citations). Cliff Click has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Michael Paleczny, Christopher A. Vick, Keith D. Cooper, Michael M. Wolf, John R. Rose, José Nelson Amaral, Antony L. Hosking, Sebastian Fischmeister, Daniel Frampton and Richard Jones. Their work appears in journals such as ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.
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.