Laura M. Grupp

2.4k total citations · 2 hit papers
19 papers, 1.9k citations indexed

About

Laura M. Grupp is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Laura M. Grupp has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Laura M. Grupp's work include Advanced Data Storage Technologies (18 papers), Parallel Computing and Optimization Techniques (10 papers) and Caching and Content Delivery (7 papers). Laura M. Grupp is often cited by papers focused on Advanced Data Storage Technologies (18 papers), Parallel Computing and Optimization Techniques (10 papers) and Caching and Content Delivery (7 papers). Laura M. Grupp collaborates with scholars based in United States, India and Singapore. Laura M. Grupp's co-authors include Steven Swanson, Adrian M. Caulfield, Joel Coburn, Ranjit Jhala, Ameen Akel, John D. Davis, Eitan Yaakobi, Rajesh Kumar Gupta, Paul H. Siegel and Jack K. Wolf and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM SIGPLAN Notices and IEEE Micro.

In The Last Decade

Laura M. Grupp

19 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NV-Heaps

2011 506 citations Joel Coburn, Adrian M. Caulfield et al. profile →
Characterizing flash memory

2009 352 citations Laura M. Grupp, Adrian M. Caulfield et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura M. Grupp United States	15	1.7k	1.1k	371	371	195	19	1.9k
Joel Coburn United States	14	1.5k 0.9×	1.3k 1.2×	324 0.9×	373 1.0×	82 0.4×	21	1.7k
Yixin Luo United States	16	1.3k 0.8×	743 0.7×	224 0.6×	604 1.6×	247 1.3×	23	1.6k
Yu Cai United States	12	805 0.5×	287 0.3×	136 0.4×	278 0.7×	208 1.1×	32	949
Sangyeun Cho United States	22	2.1k 1.2×	1.7k 1.6×	621 1.7×	672 1.8×	45 0.2×	88	2.5k
Michele Franceschini United States	18	1.3k 0.8×	1.1k 1.0×	183 0.5×	945 2.5×	85 0.4×	52	1.7k
Jeong‐Uk Kang South Korea	13	1.5k 0.9×	741 0.7×	230 0.6×	78 0.2×	191 1.0×	16	1.5k
Vassos Hadzilacos Canada	17	1.7k 1.0×	388 0.4×	157 0.4×	69 0.2×	274 1.4×	50	1.7k
Erik Hägersten Sweden	24	1.6k 0.9×	1.6k 1.5×	454 1.2×	214 0.6×	40 0.2×	91	1.8k
Simon C. Steely United States	14	1.9k 1.1×	1.8k 1.7×	534 1.4×	398 1.1×	24 0.1×	26	2.1k
C.-T. Ho United States	7	704 0.4×	272 0.3×	118 0.3×	212 0.6×	118 0.6×	14	826

Countries citing papers authored by Laura M. Grupp

Since Specialization

Citations

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

Fields of papers citing papers by Laura M. Grupp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura M. Grupp. 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 Laura M. Grupp. The network helps show where Laura M. Grupp may publish in the future.

Co-authorship network of co-authors of Laura M. Grupp

This figure shows the co-authorship network connecting the top 25 collaborators of Laura M. Grupp. A scholar is included among the top collaborators of Laura M. Grupp 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 Laura M. Grupp. Laura M. Grupp 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:

19 of 19 papers shown

1.

Grupp, Laura M., John D. Davis, & Steven Swanson. (2013). The harey tortoise: managing heterogeneous write performance in SSDs. eScholarship (California Digital Library). 79–90. 40 indexed citations

2.

Mohan, Vidyabhushan, et al.. (2013). Modeling Power Consumption of NAND Flash Memories Using FlashPower. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 32(7). 1031–1044. 32 indexed citations

3.

Tseng, Hung‐Wei, Laura M. Grupp, & Steven Swanson. (2013). Underpowering NAND flash. 1–6. 7 indexed citations

4.

Grupp, Laura M., John D. Davis, & Steven Swanson. (2012). The bleak future of NAND flash memory. File and Storage Technologies. 2–2. 224 indexed citations

5.

Yaakobi, Eitan, Laura M. Grupp, Paul H. Siegel, Steven Swanson, & Jack K. Wolf. (2012). Characterization and error-correcting codes for TLC flash memories. 53 indexed citations

6.

Coburn, Joel, Adrian M. Caulfield, Ameen Akel, et al.. (2012). NV-Heaps. ACM SIGPLAN Notices. 47(4). 105–105. 15 indexed citations

7.

Gabrys, Ryan, Eitan Yaakobi, Laura M. Grupp, Steven Swanson, & Lara Dolecek. (2012). Tackling intracell variability in TLC Flash through tensor product codes. 1000–1004. 12 indexed citations

8.

Wei, Michael, Laura M. Grupp, F. E. Spada, & Steven Swanson. (2011). Reliably erasing data from flash-based solid state drives. File and Storage Technologies. 8–8. 113 indexed citations

9.

Tseng, Hung‐Wei, Laura M. Grupp, & Steven Swanson. (2011). Understanding the impact of power loss on flash memory. 35–40. 47 indexed citations

10.

Coburn, Joel, Adrian M. Caulfield, Ameen Akel, et al.. (2011). NV-Heaps. 105–118. 506 indexed citations breakdown →

11.

Coburn, Joel, Adrian M. Caulfield, Ameen Akel, et al.. (2011). NV-Heaps. ACM SIGPLAN Notices. 46(3). 105–118. 50 indexed citations

12.

Coburn, Joel, Adrian M. Caulfield, Ameen Akel, et al.. (2011). NV-Heaps. ACM SIGARCH Computer Architecture News. 39(1). 105–118. 80 indexed citations

13.

Caulfield, Adrian M., Laura M. Grupp, & Steven Swanson. (2010). Gordon: An Improved Architecture for Data-Intensive Applications. IEEE Micro. 30(1). 121–130. 10 indexed citations

14.

Yaakobi, Eitan, Jing Ma, Laura M. Grupp, et al.. (2010). Error characterization and coding schemes for flash memories. 1856–1860. 60 indexed citations

15.

Grupp, Laura M., Adrian M. Caulfield, Joel Coburn, John D. Davis, & Steven Swanson. (2010). Beyond the datasheet: Using test beds to probe non-volatile memories' dark secrets. 1930–1935. 3 indexed citations

16.

Caulfield, Adrian M., Laura M. Grupp, & Steven Swanson. (2009). Gordon. ACM SIGARCH Computer Architecture News. 37(1). 217–228. 14 indexed citations

17.

Grupp, Laura M., Adrian M. Caulfield, Joel Coburn, et al.. (2009). Characterizing flash memory. 24–33. 352 indexed citations breakdown →

18.

Caulfield, Adrian M., Laura M. Grupp, & Steven Swanson. (2009). Gordon. 217–228. 196 indexed citations

19.

Caulfield, Adrian M., Laura M. Grupp, & Steven Swanson. (2009). Gordon. ACM SIGPLAN Notices. 44(3). 217–228. 39 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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