Jonathan Raiman

5.2k total citations
6 papers, 244 citations indexed

About

Jonathan Raiman is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Jonathan Raiman has authored 6 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Hardware and Architecture. Recurrent topics in Jonathan Raiman's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Speech and Audio Processing (2 papers). Jonathan Raiman is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Speech and Audio Processing (2 papers). Jonathan Raiman collaborates with scholars based in China, United States and United Kingdom. Jonathan Raiman's co-authors include Olivier Raiman, Andrew Gibiansky, J. J. Miller, Gregory Diamos, Sercan Ö. Arık, Yanqi Zhou, Kainan Peng, Wei Ping, Xian Li and Mohammad Shoeybi and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Jonathan Raiman

6 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Raiman China	5	221	73	38	22	17	6	244
Natthawut Kertkeidkachorn Japan	6	151 0.7×	24 0.3×	23 0.6×	19 0.9×	21 1.2×	31	178
Wenqi He United States	5	265 1.2×	19 0.3×	47 1.2×	42 1.9×	26 1.5×	5	290
Lujun Zhao China	8	255 1.2×	9 0.1×	35 0.9×	26 1.2×	18 1.1×	11	289
Bill McDowell United States	6	217 1.0×	28 0.4×	26 0.7×	24 1.1×	16 0.9×	8	238
Antti Puurula New Zealand	8	305 1.4×	39 0.5×	7 0.2×	27 1.2×	16 0.9×	10	336
Kalpa Gunaratna United States	7	120 0.5×	23 0.3×	42 1.1×	11 0.5×	10 0.6×	17	152
Marta Tatu United States	9	375 1.7×	17 0.2×	12 0.3×	11 0.5×	30 1.8×	16	394
Tim Vieira United States	8	229 1.0×	14 0.2×	9 0.2×	34 1.5×	8 0.5×	20	263
Emilio Sanchís Spain	10	243 1.1×	15 0.2×	7 0.2×	21 1.0×	7 0.4×	44	261

Countries citing papers authored by Jonathan Raiman

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Raiman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Raiman

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

All Works

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6 of 6 papers shown

1.

Raiman, Jonathan. (2022). DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 8028–8035. 2 indexed citations

2.

Ren, Haoxing, et al.. (2021). Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. 1–6. 6 indexed citations

3.

Raiman, Jonathan & Olivier Raiman. (2018). DeepType: Multilingual Entity Linking by Neural Type System Evolution. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 87 indexed citations

4.

Raiman, Jonathan & Olivier Raiman. (2018). DeepType: Multilingual Entity Linking by Neural Type System Evolution. arXiv (Cornell University). 5406–5413. 29 indexed citations

5.

Gibiansky, Andrew, Sercan Ö. Arık, Gregory Diamos, et al.. (2017). Deep Voice 2: Multi-Speaker Neural Text-to-Speech.. Neural Information Processing Systems. 30. 2962–2970. 81 indexed citations

6.

Arık, Sercan Ö., Mike Chrzanowski, Adam Coates, et al.. (2017). Deep Voice: Real-time Neural Text-to-Speech. International Conference on Machine Learning. 195–204. 39 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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