Blake A. Hechtman

1.6k total citations
12 papers, 236 citations indexed

About

Blake A. Hechtman is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Blake A. Hechtman has authored 12 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 9 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Blake A. Hechtman's work include Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (8 papers) and Distributed systems and fault tolerance (6 papers). Blake A. Hechtman is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (8 papers) and Distributed systems and fault tolerance (6 papers). Blake A. Hechtman collaborates with scholars based in United States and Canada. Blake A. Hechtman's co-authors include Daniel J. Sorin, Steven K. Reinhardt, Mark D. Hill, David A. Wood, Bradford M. Beckmann, Derek R. Hower, Benedict R. Gaster, Yingying Tian, Shuai Che and Tianjian Lu and has published in prestigious journals such as IEEE Access, ACM SIGPLAN Notices and ACM SIGARCH Computer Architecture News.

In The Last Decade

Blake A. Hechtman

11 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Blake A. Hechtman United States	7	202	176	48	39	34	12	236
Nilanjan Goswami United States	9	250 1.2×	252 1.4×	113 2.4×	63 1.6×	20 0.6×	15	315
Matt T. Yourst United States	5	248 1.2×	199 1.1×	92 1.9×	29 0.7×	37 1.1×	7	310
Muhuan Huang United States	12	217 1.1×	172 1.0×	78 1.6×	50 1.3×	29 0.9×	17	274
Sami Yehia France	9	274 1.4×	203 1.2×	89 1.9×	22 0.6×	26 0.8×	22	318
Chris J. Newburn United States	11	210 1.0×	188 1.1×	44 0.9×	63 1.6×	20 0.6×	16	256
John Goodacre United Kingdom	9	201 1.0×	196 1.1×	81 1.7×	56 1.4×	18 0.5×	37	288
John H. Kelm United States	10	347 1.7×	322 1.8×	95 2.0×	32 0.8×	23 0.7×	20	378
Jinchun Kim United States	8	243 1.2×	268 1.5×	43 0.9×	74 1.9×	31 0.9×	12	297
John Seng United States	8	201 1.0×	132 0.8×	82 1.7×	36 0.9×	27 0.8×	17	232
David Maze United States	6	306 1.5×	272 1.5×	24 0.5×	33 0.8×	19 0.6×	10	334

Countries citing papers authored by Blake A. Hechtman

Since Specialization

Citations

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

Fields of papers citing papers by Blake A. Hechtman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blake A. Hechtman

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

12 of 12 papers shown

1.

Wang, Shibo, Jinliang Wei, Amit Sabne, et al.. (2022). Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. 93–106. 28 indexed citations

2.

Lu, Tianjian, et al.. (2021). Large-Scale Discrete Fourier Transform on TPUs. IEEE Access. 9. 93422–93432. 13 indexed citations

3.

Phothilimthana, Phitchaya Mangpo, Amit Sabne, Yanqi Zhou, et al.. (2021). A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. 1–16. 9 indexed citations

4.

Hower, Derek R., Blake A. Hechtman, Bradford M. Beckmann, et al.. (2014). Heterogeneous-race-free memory models. ACM SIGPLAN Notices. 49(4). 427–440.

5.

Hower, Derek R., Blake A. Hechtman, Bradford M. Beckmann, et al.. (2014). Heterogeneous-race-free memory models. ACM SIGARCH Computer Architecture News. 42(1). 427–440. 1 indexed citations

6.

Hower, Derek R., Blake A. Hechtman, Bradford M. Beckmann, et al.. (2014). Heterogeneous-race-free memory models. 427–440. 76 indexed citations

7.

Hechtman, Blake A., Shuai Che, Derek R. Hower, et al.. (2014). QuickRelease: A throughput-oriented approach to release consistency on GPUs. 189–200. 57 indexed citations

8.

Hechtman, Blake A. & Daniel J. Sorin. (2013). Exploring memory consistency for massively-threaded throughput-oriented processors. 201–212. 33 indexed citations

9.

Hower, Derek R., Bradford M. Beckmann, Benedict R. Gaster, et al.. (2013). Sequential Consistency for Heterogeneous-Race-Free: Programmer-centric Memory Models for Heterogeneous Platforms. 1 indexed citations

10.

Hechtman, Blake A. & Daniel J. Sorin. (2013). Exploring memory consistency for massively-threaded throughput-oriented processors. ACM SIGARCH Computer Architecture News. 41(3). 201–212. 4 indexed citations

11.

Hechtman, Blake A. & Daniel J. Sorin. (2013). Evaluating cache coherent shared virtual memory for heterogeneous multicore chips. 23. 118–119. 13 indexed citations

12.

Hechtman, Blake A. & Daniel J. Sorin. (2012). The Limits of Concurrency in Cache Coherence. 1 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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