Jim Glass
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Control and Systems Engineering
- Co-authors
- Alessandro MoschittiLluı́s MàrquezPreslav NakovWalid MagdyScott CyphersPanupong PasupatJun LiuHamdy Mubarak
- Topics
- Speech and dialogue systems (7 papers)Topic Modeling (7 papers)Natural Language Processing Techniques (5 papers)
- Journals
- Alzheimer s & DementiaIEEE/ACM Transactions on Audio Speech and Language ProcessingScholarworks@UNIST (Ulsan National Institute of Science and Technology)
- Partner nations
- United StatesQatarCzechia
In The Last Decade
Jim Glass
16 papers receiving 499 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 454
- Information Systems 150
- Computer Vision and Pattern Recognition 96
- Signal Processing 43
- Control and Systems Engineering 34
Countries citing papers authored by Jim Glass
This map shows the geographic impact of Jim Glass'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 Jim Glass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Glass more than expected).
Fields of papers citing papers by Jim Glass
This network shows the impact of papers produced by Jim Glass. 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 Jim Glass. The network helps show where Jim Glass may publish in the future.
Co-authorship network of co-authors of Jim Glass
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Glass. A scholar is included among the top collaborators of Jim Glass 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 Jim Glass. Jim Glass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 163 | |
| 3 | 14 | |
| 4 | 107 | |
| 5 | 23 | |
| 6 | A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling | 3 |
| 7 | 29 | |
| 8 | 42 | |
| 9 | Probabilistic Dialogue Modeling for Speech-Enabled Assistive Technology | 2 |
| 10 | 58 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 47 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 7 |
About Jim Glass
Jim Glass is a scholar working on Artificial Intelligence, Social Psychology and Signal Processing, having authored 16 papers that have together received 547 indexed citations. Recurring topics across this work include Speech and dialogue systems (7 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (454 citations), Information Systems (150 citations) and Computer Vision and Pattern Recognition (96 citations). Jim Glass has collaborated with scholars based in United States, Qatar and Czechia. Frequent co-authors include Alessandro Moschitti, Lluı́s Màrquez, Preslav Nakov, Walid Magdy, Scott Cyphers, Panupong Pasupat, Jun Liu, Hamdy Mubarak, Abed Alhakim Freihat and Seth Teller. Their work appears in journals such as Alzheimer s & Dementia, IEEE/ACM Transactions on Audio Speech and Language Processing and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).
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.