Christian Puhrsch

13 total papers · 5.5k total citations
2 papers, 196 citations indexed

About

Christian Puhrsch is a scholar working on Signal Processing, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Christian Puhrsch has authored 2 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Christian Puhrsch's work include Speech Recognition and Synthesis (2 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Christian Puhrsch is often cited by papers focused on Speech Recognition and Synthesis (2 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Christian Puhrsch collaborates with scholars based in United States. Christian Puhrsch's co-authors include Brian Kingsbury, Yann LeCun, Tom Sercu, Edward Z. Yang, Jason Lian, Dmitriy Genzel, Soumith Chintala, Donny Greenberg, Shinji Watanabe and Ji Chen and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Christian Puhrsch

2 papers receiving 173 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christian Puhrsch	135	114	33	12	8	2	196
Matt Sharifi	172 1.3×	149 1.3×	81 2.5×	13 1.1×	4 0.5×	4	284
Wayne Xiong	170 1.3×	86 0.8×	36 1.1×	12 1.0×	21 2.6×	5	231
Khawar Mehmood	222 1.6×	65 0.6×	32 1.0×	10 0.8×	13 1.6×	8	290
Mahmoud Al Ismail	84 0.6×	107 0.9×	58 1.8×	12 1.0×	2 0.3×	5	185
Xiaoyu Bie	100 0.7×	67 0.6×	59 1.8×	12 1.0×	3 0.4×	6	212
R. Biddulph	156 1.2×	110 1.0×	22 0.7×	13 1.1×	6 0.8×	3	215
Yake Wei	108 0.8×	78 0.7×	130 3.9×	12 1.0×	4 0.5×	8	246
Daniel Michelsanti	90 0.7×	172 1.5×	59 1.8×	27 2.3×	3 0.4×	8	226
Nelson Yalta	80 0.6×	117 1.0×	42 1.3×	10 0.8×	10 1.3×	7	185
Yang Zhang	168 1.2×	92 0.8×	28 0.8×	5 0.4×	13 1.6×	7	215

Countries citing papers authored by Christian Puhrsch

Since Specialization

Citations

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

Fields of papers citing papers by Christian Puhrsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Puhrsch

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

All Works

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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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