Greg Diamos

4.8k total citations
5 papers, 101 citations indexed

About

Greg Diamos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Greg Diamos has authored 5 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Greg Diamos's work include Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). Greg Diamos is often cited by papers focused on Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). Greg Diamos collaborates with scholars based in China, United States and India. Greg Diamos's co-authors include Peter Mattson, David Kanter, David E. Patterson, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Cody Coleman, Christine Cheng, Paulius Micikevicius and Hanlin Tang and has published in prestigious journals such as IEEE Micro, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Greg Diamos

5 papers receiving 96 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Greg Diamos China	3	50	42	30	24	22	5	101
Reza Yazdani Aminabadi United States	4	72 1.4×	31 0.7×	38 1.3×	13 0.5×	27 1.2×	4	120
Yonglin Hao China	5	103 2.1×	67 1.6×	11 0.4×	10 0.4×	19 0.9×	17	124
Erich Wenger Austria	6	91 1.8×	45 1.1×	13 0.4×	13 0.5×	48 2.2×	12	122
Arslan Zulfiqar China	5	40 0.8×	39 0.9×	85 2.8×	50 2.1×	89 4.0×	10	172
Vesselin Velichkov Belgium	4	53 1.1×	27 0.6×	35 1.2×	12 0.5×	11 0.5×	9	78
Bhavana Kanukurthi India	2	26 0.5×	23 0.5×	26 0.9×	27 1.1×	9 0.4×	6	65
Andrey Malevich United States	1	67 1.3×	44 1.0×	68 2.3×	40 1.7×	28 1.3×	2	145
François Koeune Belgium	5	40 0.8×	18 0.4×	28 0.9×	16 0.7×	11 0.5×	9	68
Sebastiaan Indesteege Belgium	5	71 1.4×	46 1.1×	14 0.5×	27 1.1×	20 0.9×	13	89
Deniz Toz Belgium	3	66 1.3×	43 1.0×	17 0.6×	9 0.4×	18 0.8×	9	83

Countries citing papers authored by Greg Diamos

Since Specialization

Citations

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

Fields of papers citing papers by Greg Diamos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Diamos

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

5 of 5 papers shown

1.

Banbury, Colby, Yiping Kang, Daniel Gálvez, et al.. (2021). Multilingual Spoken Words Corpus. Neural Information Processing Systems. 7 indexed citations

2.

Gálvez, Daniel, et al.. (2021). The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. arXiv (Cornell University). 2 indexed citations

3.

Mattson, Peter, Vijay Janapa Reddi, Christine Cheng, et al.. (2020). MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro. 40(2). 8–16. 90 indexed citations

4.

Zhou, Yanqi, Peng Wang, Sercan Ö. Arık, et al.. (2019). EPNAS: Efficient Progressive Neural Architecture Search. arXiv (Cornell University). 71. 1 indexed citations

5.

Zhou, Yanqi, Wei Ping, Sercan Ö. Arık, Kainan Peng, & Greg Diamos. (2018). HybridNet: A Hybrid Neural Architecture to Speed-up Autoregressive Models. 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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