Kyle Kastner

1.8k total citations
7 papers, 305 citations indexed

About

Kyle Kastner is a scholar working on Artificial Intelligence, Biophysics and Molecular Biology. According to data from OpenAlex, Kyle Kastner has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Biophysics and 1 paper in Molecular Biology. Recurrent topics in Kyle Kastner's work include Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Kyle Kastner is often cited by papers focused on Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Kyle Kastner collaborates with scholars based in United States, Canada and Japan. Kyle Kastner's co-authors include João Felipe Santos, Soroush Mehri, Aaron Courville, Yoshua Bengio, Kundan Kumar, Jose Sotelo, Lyndsey M. Kirk, Jeremy Howard, Sammy Weiser Novak and Kristen M. Harris and has published in prestigious journals such as Nature Methods, The FASEB Journal and International Conference on Learning Representations.

In The Last Decade

Kyle Kastner

7 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Kastner United States	4	179	108	61	48	39	7	305
Xuan Xu United States	10	77 0.4×	13 0.1×	25 0.4×	106 2.2×	27 0.7×	31	230
Jian Guo Singapore	10	126 0.7×	15 0.1×	12 0.2×	98 2.0×	7 0.2×	54	266
Kwangsung Oh United States	10	19 0.1×	10 0.1×	76 1.2×	30 0.6×	37 0.9×	16	301
Ming Hao China	10	71 0.4×	13 0.1×	31 0.5×	15 0.3×	23 0.6×	27	309
Cheolhong An United States	12	15 0.1×	47 0.4×	26 0.4×	159 3.3×	28 0.7×	35	296
Zhiqing Guo China	10	74 0.4×	28 0.3×	5 0.1×	266 5.5×	21 0.5×	28	353
Virginia Espinosa-Duró Spain	10	31 0.2×	112 1.0×	11 0.2×	165 3.4×	48 1.2×	15	251
Assaf Arbelle United States	7	117 0.7×	9 0.1×	15 0.2×	102 2.1×	22 0.6×	11	195
Xu Tan China	8	41 0.2×	16 0.1×	8 0.1×	32 0.7×	8 0.2×	20	151
Minjoo Hwang United States	8	235 1.3×	186 1.7×	4 0.1×	45 0.9×	5 0.1×	10	291

Countries citing papers authored by Kyle Kastner

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Kastner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Kastner

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

7 of 7 papers shown

1.

Park, Hyun Jin, Neng Chen, Kurt Partridge, et al.. (2024). Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model. 16–20. 1 indexed citations

2.

Wang, Gary, Nobuyuki Morioka, Isaac Elias, et al.. (2024). Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. 11546–11550. 1 indexed citations

3.

Wang, Gary, Kyle Kastner, Ankur Bapna, et al.. (2023). Understanding Shared Speech-Text Representations. 9. 1–5. 3 indexed citations

4.

Fang, Linjing, Sammy Weiser Novak, Lyndsey M. Kirk, et al.. (2021). Deep learning-based point-scanning super-resolution imaging. Nature Methods. 18(4). 406–416. 111 indexed citations

5.

Manor, Uri, Linjing Fang, Jeremy Howard, et al.. (2020). Deep Learning‐Based Point‐Scanning Super‐Resolution Imaging. The FASEB Journal. 34(S1). 1–1. 6 indexed citations

6.

Sotelo, Jose, Soroush Mehri, Kundan Kumar, et al.. (2017). Char2Wav: End-to-End Speech Synthesis. International Conference on Learning Representations. 181 indexed citations

7.

Kastner, Kyle, et al.. (2012). Dynamic Spectrum Allocation in Low-Bandwidth Power Line Communications. 28–33. 2 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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