Aaron Jaech

435 total citations
15 papers, 210 citations indexed

About

Aaron Jaech is a scholar working on Artificial Intelligence, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aaron Jaech has authored 15 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Biomedical Engineering and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aaron Jaech's work include Topic Modeling (5 papers), ECG Monitoring and Analysis (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Aaron Jaech is often cited by papers focused on Topic Modeling (5 papers), ECG Monitoring and Analysis (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Aaron Jaech collaborates with scholars based in United States, Ireland and Israel. Aaron Jaech's co-authors include Mari Ostendorf, Marios Savvides, Felix Juefei-Xu, Rik Koncel-Kedziorski, Noah A. Smith, Chu‐Cheng Lin, Brendan Jou, Jason Eisner, Matthew R. Gormley and Peter Baumann and has published in prestigious journals such as Annals of Surgical Oncology, Language Resources and Evaluation and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Aaron Jaech

15 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Jaech United States 8 100 66 55 46 42 15 210
Yuchuan Wu China 8 171 1.7× 82 1.2× 37 0.7× 18 0.4× 24 0.6× 22 294
Qing He China 9 214 2.1× 46 0.7× 34 0.6× 41 0.9× 44 1.0× 41 306
Salisu Wada Yahaya United Kingdom 7 113 1.1× 88 1.3× 18 0.3× 9 0.2× 25 0.6× 14 219
Gal Lavee Israel 9 153 1.5× 209 3.2× 37 0.7× 23 0.5× 44 1.0× 13 302
Anderson R. Avila Canada 8 136 1.4× 31 0.5× 12 0.2× 43 0.9× 150 3.6× 25 272
Riccardo Satta Italy 9 41 0.4× 252 3.8× 100 1.8× 45 1.0× 53 1.3× 23 322
Enrique Argones Rúa Spain 9 51 0.5× 178 2.7× 33 0.6× 92 2.0× 141 3.4× 16 262
Muhtahir O. Oloyede South Africa 7 28 0.3× 180 2.7× 18 0.3× 59 1.3× 127 3.0× 11 273
Md Humaion Kabir Mehedi Bangladesh 8 88 0.9× 39 0.6× 16 0.3× 18 0.4× 16 0.4× 50 239
Lucas Pascotti Valem Brazil 9 61 0.6× 213 3.2× 50 0.9× 15 0.3× 20 0.5× 41 267

Countries citing papers authored by Aaron Jaech

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Jaech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Jaech

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

All Works

15 of 15 papers shown
1.
Ye, Qinyuan, Madian Khabsa, Michael Lewis, et al.. (2022). Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2361–2375. 2 indexed citations
2.
Lin, Chu‐Cheng, et al.. (2021). Limitations of Autoregressive Models and Their Alternatives. 5147–5173. 13 indexed citations
3.
Soto, Víctor, et al.. (2018). Collecting Code-Switched Data from Social Media. Language Resources and Evaluation. 1 indexed citations
4.
Jaech, Aaron & Mari Ostendorf. (2018). Personalized Language Model for Query Auto-Completion. 700–705. 23 indexed citations
5.
Jaech, Aaron & Mari Ostendorf. (2018). Low-Rank RNN Adaptation for Context-Aware Language Modeling. Transactions of the Association for Computational Linguistics. 6. 497–510. 14 indexed citations
6.
Wagner, Patrick, Frances Austin, Mazen S. Zenati, et al.. (2016). Oncologic Risk Stratification Following Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Appendiceal Carcinomatosis. Annals of Surgical Oncology. 23(5). 1587–1593. 5 indexed citations
7.
Jaech, Aaron, Rik Koncel-Kedziorski, & Mari Ostendorf. (2016). Phonological Pun-derstanding. 654–663. 15 indexed citations
8.
Jaech, Aaron, et al.. (2016). A Neural Model for Language Identification in Code-Switched Tweets. 60–64. 17 indexed citations
9.
He, Yanzhang, Peter Baumann, Hao Fang, et al.. (2015). Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(1). 79–92. 12 indexed citations
10.
Jaech, Aaron, et al.. (2012). Classification of cardiosynchronous waveforms by projection to a Legendre Polynomial sub-space. PubMed. 2012. 4307–4310. 1 indexed citations
12.
13.
Blue, Rebecca S., et al.. (2011). Preliminary feasibility analysis of remote subject identification during hemodynamic monitoring by Radio Frequency Impedance. PubMed. 2011. 2590–2593. 4 indexed citations
14.
Blue, Rebecca S., et al.. (2011). Radio Frequency cardiopulmonary waveform for subject identification. 68. 2152–2156. 4 indexed citations
15.
Jou, Brendan, et al.. (2011). Fusion of region-based representations for gender identification. 2. 1–7. 10 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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