Andrew Lenharth
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
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- Graph Theory and Algorithms
Papers in
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- Security and Verification in Computing 6
- Advanced Graph Neural Networks 4
- Stochastic Gradient Optimization Techniques 4
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- Parallel Computing and Optimization Techniques 16
- Co-authors
- Keshav Pingali (21 shared papers)Donald Nguyen (13 shared papers)Vikram Adve (7 shared papers)Chris Lattner (2 shared papers)Xin Sui (6 shared papers)Milind Kulkarni (2 shared papers)M. Amber Hassaan (2 shared papers)Tsung‐Hsien Lee (2 shared papers)
- Journals
- ACM SIGPLAN Notices (6 papers)Computer (1 paper)Computer Physics Communications (1 paper)Communications of the ACM (1 paper)ACM SIGOPS Operating Systems Review (2 papers)
- Partner nations
- United StatesPolandSaudi Arabia
In The Last Decade
Andrew Lenharth
28 papers receiving 1.3k citations
Andrew Lenharth's Hit Papers
Peers
Comparison fields: 5 of 63
- Hardware and Architecture 660
- Computer Vision and Pattern Recognition 604
- Computer Networks and Communications 628
- Software 102
- Signal Processing 212
Countries citing papers authored by Andrew Lenharth
This map shows the geographic impact of Andrew Lenharth'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 Andrew Lenharth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lenharth more than expected).
Fields of papers citing papers by Andrew Lenharth
This network shows the impact of papers produced by Andrew Lenharth. 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 Andrew Lenharth. The network helps show where Andrew Lenharth may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Lenharth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A lightweight infrastructure for graph analytics Hit paper breakdown → | 2013 | 394 |
| 2 | 2011 | 208 | |
| 3 | 2011 | 187 | |
| 4 | 2007 | 153 | |
| 5 | 2007 | 111 | |
| 6 | 2016 | 41 | |
| 7 | 2009 | 36 | |
| 8 | 2007 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 24 | |
| 12 | 2016 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2014 | 17 | |
| 16 | 2007 | 15 | |
| 17 | 2004 | 11 | |
| 18 | 2015 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2016 | 7 |
About Andrew Lenharth
Andrew Lenharth is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Graph Theory and Algorithms (7 papers), Distributed and Parallel Computing Systems (7 papers), Security and Verification in Computing (6 papers), Advanced Graph Neural Networks (4 papers), Distributed systems and fault tolerance (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Low-power high-performance VLSI design (4 papers). The work is most often cited by research in Hardware and Architecture (660 citations), Computer Vision and Pattern Recognition (604 citations), Computer Networks and Communications (628 citations), Software (102 citations) and Signal Processing (212 citations). Andrew Lenharth has collaborated with scholars based in United States, Poland and Saudi Arabia. Frequent co-authors include Keshav Pingali, Donald Nguyen, Vikram Adve, Chris Lattner, Xin Sui, Milind Kulkarni, M. Amber Hassaan, Tsung‐Hsien Lee, Roman Manevich and Dimitrios Prountzos. Their work appears in journals such as ACM SIGPLAN Notices, Computer, Computer Physics Communications, Communications of the ACM and ACM SIGOPS Operating Systems Review.
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.