Michael A. Laurenzano

2.1k total citations
52 papers, 1.3k citations indexed

About

Michael A. Laurenzano is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Michael A. Laurenzano has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hardware and Architecture, 37 papers in Computer Networks and Communications and 18 papers in Information Systems. Recurrent topics in Michael A. Laurenzano's work include Parallel Computing and Optimization Techniques (39 papers), Advanced Data Storage Technologies (22 papers) and Cloud Computing and Resource Management (17 papers). Michael A. Laurenzano is often cited by papers focused on Parallel Computing and Optimization Techniques (39 papers), Advanced Data Storage Technologies (22 papers) and Cloud Computing and Resource Management (17 papers). Michael A. Laurenzano collaborates with scholars based in United States, Brazil and Sweden. Michael A. Laurenzano's co-authors include Jason Mars, Lingjia Tang, Laura Carrington, Allan Snavely, Yunqi Zhang, Ronald Dreslinski, Ananta Tiwari, Mustafa M. Tikir, Johann Hauswald and Trevor Mudge and has published in prestigious journals such as ACM Transactions on Computer Systems, ACM SIGPLAN Notices and IEEE Micro.

In The Last Decade

Michael A. Laurenzano

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael A. Laurenzano United States	19	868	680	564	257	250	52	1.3k
Jaspal Subhlok United States	18	717 0.8×	611 0.9×	285 0.5×	131 0.5×	93 0.4×	77	1.0k
Eric S. Chung United States	16	867 1.0×	971 1.4×	264 0.5×	342 1.3×	537 2.1×	31	1.7k
Nachiket Kapre Singapore	19	576 0.7×	732 1.1×	183 0.3×	176 0.7×	427 1.7×	87	1.1k
Paolo Faraboschi United States	25	1.4k 1.6×	1.6k 2.3×	424 0.8×	382 1.5×	651 2.6×	108	2.5k
David Gregg Ireland	18	337 0.4×	513 0.8×	201 0.4×	418 1.6×	173 0.7×	94	959
Nitin Agrawal United States	14	1.6k 1.8×	550 0.8×	448 0.8×	329 1.3×	151 0.6×	35	1.8k
Ravi Nair United States	12	627 0.7×	533 0.8×	333 0.6×	205 0.8×	373 1.5×	27	1.1k
Amar Phanishayee United States	18	1.7k 2.0×	478 0.7×	1.1k 2.0×	472 1.8×	485 1.9×	49	2.4k
Jim Gettys Germany	8	1.1k 1.2×	353 0.5×	201 0.4×	187 0.7×	443 1.8×	14	1.6k

Countries citing papers authored by Michael A. Laurenzano

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Laurenzano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Laurenzano. 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 Michael A. Laurenzano. The network helps show where Michael A. Laurenzano may publish in the future.

Co-authorship network of co-authors of Michael A. Laurenzano

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Laurenzano. A scholar is included among the top collaborators of Michael A. Laurenzano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael A. Laurenzano. Michael A. Laurenzano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Larson, Stefan, Andrew Lee, Jonathan K. Kummerfeld, et al.. (2019). Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. 517–527. 19 indexed citations

Hsu, Chang-Hong, Yunqi Zhang, Michael A. Laurenzano, et al.. (2017). Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline. ACM Transactions on Computer Systems. 35(1). 1–33. 5 indexed citations

Jain, Animesh, Michael A. Laurenzano, Lingjia Tang, & Jason Mars. (2016). Continuous shape shifting: enabling loop co-optimization via near-free dynamic code rewriting. International Symposium on Microarchitecture. 1–12. 6 indexed citations

Jain, Animesh, Shih-Chieh Lin, Md Enamul Haque, et al.. (2016). Concise loads and stores: the case for an asymmetric compute-memory architecture for approximation. International Symposium on Microarchitecture. 1–13. 22 indexed citations

Laurenzano, Michael A., et al.. (2016). CrystalBall: Statically analyzing runtime behavior via deep sequence learning. 1–12. 11 indexed citations

Laurenzano, Michael A., et al.. (2016). Input responsiveness: using canary inputs to dynamically steer approximation. 161–176. 46 indexed citations

Laurenzano, Michael A., et al.. (2016). Input responsiveness: using canary inputs to dynamically steer approximation. ACM SIGPLAN Notices. 51(6). 161–176. 8 indexed citations

Laurenzano, Michael A., Yunqi Zhang, Chen Jiang, Lingjia Tang, & Jason Mars. (2016). PowerChop. ACM SIGARCH Computer Architecture News. 44(3). 140–152. 8 indexed citations

Jain, Animesh, Michael A. Laurenzano, Lingjia Tang, & Jason Mars. (2016). Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. 1–12. 8 indexed citations

10.

Laurenzano, Michael A., Yunqi Zhang, Chen Jiang, Lingjia Tang, & Jason Mars. (2016). PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. 140–152. 1 indexed citations

11.

Hsu, Chang-Hong, Yunqi Zhang, Michael A. Laurenzano, et al.. (2015). Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting. 271–282. 98 indexed citations

12.

Tiwari, Ananta, et al.. (2015). Compute bottlenecks on the new 64-bit ARM. 1–7. 10 indexed citations

13.

Porter, Leo, et al.. (2015). Making the Most of SMT in HPC. ACM Transactions on Architecture and Code Optimization. 11(4). 1–26. 9 indexed citations

14.

Hauswald, Johann, Yiping Kang, Michael A. Laurenzano, et al.. (2015). DjiNN and Tonic. 27–40. 127 indexed citations

15.

Tiwari, Ananta, et al.. (2013). Understanding the performance of stencil computations on Intel's Xeon Phi. 1–5. 6 indexed citations

16.

Carrington, Laura, Michael A. Laurenzano, & Ananta Tiwari. (2013). Inferring Large-Scale Computation Behavior via Trace Extrapolation. 1667–1674. 8 indexed citations

17.

Carrington, Laura, Mustafa M. Tikir, Catherine Olschanowsky, et al.. (2011). An idiom-finding tool for increasing productivity of accelerators. 202–212. 24 indexed citations

18.

Olschanowsky, Catherine, Tajana Rosing, Allan Snavely, et al.. (2010). Fine-Grained Energy Consumption Characterization and Modeling. 487–497. 7 indexed citations

19.

Tikir, Mustafa M., Michael A. Laurenzano, Laura Carrington, & Allan Snavely. (2009). PSINS: An Open Source Event Tracer and Execution Simulator. 444–449. 9 indexed citations

20.

Gao, Xiaofeng, Michael A. Laurenzano, Beth Simon, & Allan Snavely. (2006). Reducing overheads for acquiring dynamic memory traces. 17. 46–55. 15 indexed citations

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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