Chris Leary

6.0k citations
5 papers · 145 · h-index 4

Impact in

Papers in

Journals
SPIRE - Sciences Po Institutional REpository (1 paper)Journal of Basic Writing (1 paper)Texas ScholarWorks (Texas Digital Library) (1 paper)
Partner nations
United StatesIreland

In The Last Decade

Chris Leary

5 papers receiving 137 citations

Peers

Chris Leary
Comparison fields: 5 of 59
  • Hardware and Architecture 62
  • Computational Mathematics 2
  • Computer Networks and Communications 56
  • Software 6
  • Artificial Intelligence 38
Replace Ruymán Reyes with:
Ruymán Reyes Spain
R. D. Williams United States
Johannes Doerfert United States
J. A. Herdman United Kingdom
Karl Fürlinger Germany
Joël Falcou France
Dieter an Mey Germany
Jan Treibig Germany
Georgios Tzimpragos United States
Wesley Bland United States
Chris Leary relative to Ruymán Reyes Spain Ruymán Reyes's profile →
Citations per field
00.5×2.7×
Ruymán Reyes · 1×
Citations per year

Countries citing papers authored by Chris Leary

Since Specialization
Citations

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

Fields of papers citing papers by Chris Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Chris Leary, 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 Chris Leary Line = papers co-authored together Chris Leary links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Compiling machine learning programs via high-level tracing
201871
2 201643
3 202127
4 20073
5 20171

About Chris Leary

Chris Leary is a scholar working on Computer Networks and Communications, Communication, Sociology and Political Science, Information Systems and Literature and Literary Theory, having authored 5 papers that have together received 145 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (2 papers), Privacy-Preserving Technologies in Data (1 paper), Parallel Computing and Optimization Techniques (1 paper), Machine Learning and Data Classification (1 paper), Embedded Systems Design Techniques (1 paper), Machine Learning and Algorithms (1 paper), Digital Games and Media (1 paper) and Digital Humanities and Scholarship (1 paper). The work is most often cited by research in Hardware and Architecture (62 citations), Computational Mathematics (2 citations), Computer Networks and Communications (56 citations), Software (6 citations) and Artificial Intelligence (38 citations). Chris Leary has collaborated with scholars based in United States and Ireland. Frequent co-authors include Roy Frostig, Matthew Johnson, Robert Hundt, Jingyue Wu, Jacques A. Pienaar, Sagar Karandikar, Krste Asanović, Jerry Zhao, Parthasarathy Ranganathan and Borivoje Nikolić. Their work appears in journals such as SPIRE - Sciences Po Institutional REpository, Journal of Basic Writing and Texas ScholarWorks (Texas Digital Library).

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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