Daniel Frampton

2.6k citations
27 papers · 2.1k · 1 hit paper · h-index 14

Impact in

Papers in

Daniel Frampton

27 papers receiving 2k citations

Daniel Frampton's Hit Papers

The DaCapo benchmarks 2006 · 1.3k citations
1.3k0+6+13Years since publication4008001.2k

Peers

Daniel Frampton
Comparison fields: 5 of 36
  • Hardware and Architecture 777
  • Software 351
  • Artificial Intelligence 1.1k
  • Computer Networks and Communications 322
  • Information Systems 277
Replace Daniel Von Dincklage Ζ with:
Daniel Von Dincklage Ζ United States
Robin J. Garner Australia
Aashish Phansalkar Δ United States
Thomas Vandrunen Κ United States
Rotem Bentzur Ε Australia
Maria Jump United States
Stephen Michael Blackburn Australia
Mauricio J. Serrano United States
Samuel Z. Guyer United States
Daniel Lohmann Germany
Daniel Frampton relative to Daniel Von Dincklage Ζ United States Daniel Von Dincklage Ζ's profile →
Citations per field
00.5×1.5×
Daniel Von Dincklage Ζ · 1×
Citations per year

Countries citing papers authored by Daniel Frampton

Since Specialization
Citations

This map shows the geographic impact of Daniel Frampton'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 Daniel Frampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Frampton more than expected).

Fields of papers citing papers by Daniel Frampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Frampton. 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 Daniel Frampton. The network helps show where Daniel Frampton may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Frampton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Frampton Line = papers co-authored together Daniel Frampton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The DaCapo benchmarks
Hit paper breakdown →
20061281
2 2006203
3 2008113
4 200773
5 201164
6 200647
7 200646
8 200945
9 201233
10 201232
11 201621
12 200718
13 201017
14 201214
15 201112
16 201112
17 201210
18 20119
19 20066
20 20075

About Daniel Frampton

Daniel Frampton is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Software and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Parallel Computing and Optimization Techniques (12 papers), Data Visualization and Analytics (2 papers), Real-Time Systems Scheduling (2 papers), Software System Performance and Reliability (1 paper), Software Testing and Debugging Techniques (1 paper), Academic Writing and Publishing (1 paper) and Research, Science, and Academia (1 paper). The work is most often cited by research in Hardware and Architecture (777 citations), Software (351 citations), Artificial Intelligence (1.1k citations), Computer Networks and Communications (322 citations) and Information Systems (277 citations). Daniel Frampton has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Stephen Michael Blackburn, Kathryn S. McKinley, Samuel Z. Guyer, Robin J. Garner, Antony L. Hosking, J. Eliot B. Moss, Martin J. Hirzel, Amer Diwan Ζ, Maria Jump and Ben Wiedermann Δ. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Communications of the ACM, Lecture notes in computer science and International Symposium on Memory Management.

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.

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