Aaron Jaech

435 citations
15 papers · 210 · h-index 8

Impact in

Papers in

Aaron Jaech

15 papers receiving 202 citations

Peers

Aaron Jaech
Comparison fields: 5 of 56
  • Signal Processing 42
  • Human-Computer Interaction 18
  • Computer Vision and Pattern Recognition 66
  • Artificial Intelligence 100
  • Information Systems 46
Replace Qing He with:
Qing He China
Gal Lavee Israel
Yuchuan Wu China
Esra Vural Türkiye
Salisu Wada Yahaya United Kingdom
Gengming Zhu China
Jerneja Žganec Gros Slovenia
Feijun Jiang China
Riccardo Satta Italy
Aaron Jaech relative to Qing He China Qing He's profile →
Citations per field
00.5×4.3×
Qing He · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Aaron Jaech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aaron Jaech Line = papers co-authored together Aaron Jaech links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201284
2 201823
3 201617
4 201615
5 201814
6 202113
7 201512
8 201110
9 20165
10 20125
11 20114
12 20114
13 20222
14
Collecting Code-Switched Data from Social Media
20181
15 20121

About Aaron Jaech

Aaron Jaech is a scholar working on Artificial Intelligence, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery and Information Systems, having authored 15 papers that have together received 210 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), ECG Monitoring and Analysis (4 papers), Speech Recognition and Synthesis (3 papers), EEG and Brain-Computer Interfaces (2 papers), Information Retrieval and Search Behavior (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Signal Processing (42 citations), Human-Computer Interaction (18 citations), Computer Vision and Pattern Recognition (66 citations), Artificial Intelligence (100 citations) and Information Systems (46 citations). Aaron Jaech has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Mari Ostendorf, Marios Savvides, Felix Juefei-Xu, Rik Koncel-Kedziorski, Noah A. Smith, Brendan Jou, Jason Eisner, Matthew R. Gormley, Chu‐Cheng Lin and Yanzhang He. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, IEEE/ACM Transactions on Audio Speech and Language Processing, Annals of Surgical Oncology and PubMed.

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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