Pete Warden

25.6k total citations
10 papers, 263 citations indexed

About

Pete Warden is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pete Warden has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pete Warden's work include IoT and Edge/Fog Computing (2 papers), Speech Recognition and Synthesis (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Pete Warden is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Speech Recognition and Synthesis (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Pete Warden collaborates with scholars based in United States, India and United Kingdom. Pete Warden's co-authors include Nicholas D. Lane, Vijay Janapa Reddi, Colby Banbury, Matthew Stewart, Brian Plancher, Sachin Katti, Peter Mattson, Greg Diamos, David Kanter and Yiping Kang and has published in prestigious journals such as Communications of the ACM, Computer and Nature Machine Intelligence.

In The Last Decade

Pete Warden

10 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pete Warden United States	7	99	68	62	61	36	10	263
Zhenyu Yan Hong Kong	11	141 1.4×	114 1.7×	74 1.2×	66 1.1×	41 1.1×	41	363
Varun Tiwari India	10	73 0.7×	90 1.3×	45 0.7×	78 1.3×	30 0.8×	29	316
Wooi-Haw Tan Malaysia	10	81 0.8×	125 1.8×	41 0.7×	44 0.7×	33 0.9×	59	315
Liangqi Yuan United States	9	176 1.8×	57 0.8×	62 1.0×	95 1.6×	28 0.8×	18	372
Xingyu Liu China	11	49 0.5×	98 1.4×	44 0.7×	61 1.0×	33 0.9×	37	272
Yutong Chen China	12	60 0.6×	110 1.6×	112 1.8×	50 0.8×	20 0.6×	35	343
Arnav Vaibhav Malawade United States	10	82 0.8×	86 1.3×	27 0.4×	65 1.1×	24 0.7×	14	273
Srinivas Aluvala India	8	63 0.6×	59 0.9×	83 1.3×	70 1.1×	26 0.7×	86	301
Tiehua Zhang Australia	9	115 1.2×	55 0.8×	121 2.0×	95 1.6×	40 1.1×	20	300

Countries citing papers authored by Pete Warden

Since Specialization

Citations

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

Fields of papers citing papers by Pete Warden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Warden

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Warden. A scholar is included among the top collaborators of Pete Warden 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 Pete Warden. Pete Warden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Sloane, Mona, Emanuel Moss, Susan Kennedy, et al.. (2025). Materiality and risk in the age of pervasive AI sensors. Nature Machine Intelligence. 7(3). 334–345. 2 indexed citations

2.

Stewart, Matthew, et al.. (2023). Is TinyML Sustainable?. Communications of the ACM. 66(11). 68–77. 14 indexed citations

3.

Warden, Pete, Matthew Stewart, Brian Plancher, Sachin Katti, & Vijay Janapa Reddi. (2023). Machine Learning Sensors. Communications of the ACM. 66(11). 25–28. 10 indexed citations

4.

Banbury, Colby, et al.. (2023). CFU Playground: Want a faster ML processor? Do it yourself!. 1–2. 2 indexed citations

5.

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

6.

Banbury, Colby, et al.. (2021). Few-Shot Keyword Spotting in Any Language. arXiv (Cornell University). 26 indexed citations

7.

Hu, Pan, et al.. (2020). Privacy-Preserving Inference on the Edge: Mitigating a New Threat Model. 1 indexed citations

8.

Warden, Pete, et al.. (2019). TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers. 163 indexed citations

9.

Lane, Nicholas D. & Pete Warden. (2018). The Deep (Learning) Transformation of Mobile and Embedded Computing. Computer. 51(5). 12–16. 22 indexed citations

10.

Warden, Pete. (2011). Big Data Glossary. 16 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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