Adam C. Lammert
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Physiology
- Cognitive Neuroscience
- Co-authors
- Shrikanth NarayananAthanasios KatsamanisMichael ProctorThomas F. QuatieriVikram RamanarayananChi-Chun LeeBrian R. BaucomPanayiotis Georgiou
- Topics
- Speech Recognition and Synthesis (20 papers)Speech and Audio Processing (15 papers)Phonetics and Phonology Research (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Adam C. Lammert
43 papers receiving 661 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 301
- Experimental and Cognitive Psychology 288
- Signal Processing 212
- Physiology 123
- Cognitive Neuroscience 96
Countries citing papers authored by Adam C. Lammert
This map shows the geographic impact of Adam C. Lammert'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 Adam C. Lammert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam C. Lammert more than expected).
Fields of papers citing papers by Adam C. Lammert
This network shows the impact of papers produced by Adam C. Lammert. 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 Adam C. Lammert. The network helps show where Adam C. Lammert may publish in the future.
Co-authorship network of co-authors of Adam C. Lammert
This figure shows the co-authorship network connecting the top 25 collaborators of Adam C. Lammert. A scholar is included among the top collaborators of Adam C. Lammert 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 Adam C. Lammert. Adam C. Lammert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 39 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 22 | |
| 14 | 19 | |
| 15 | 112 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | Exploiting speech production information for automatic speech and speaker modeling and recognition - possibilities and new opportunities | 5 |
| 19 | 20 | |
| 20 | Data-driven articulatory inversion incorporating articulator priors. | 7 |
About Adam C. Lammert
Adam C. Lammert is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 47 papers that have together received 738 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (15 papers) and Phonetics and Phonology Research (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (288 citations), Signal Processing (212 citations) and Artificial Intelligence (301 citations). Adam C. Lammert has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Shrikanth Narayanan, Athanasios Katsamanis, Michael Proctor, Thomas F. Quatieri, Vikram Ramanarayanan, Chi-Chun Lee, Brian R. Baucom, Panayiotis Georgiou, Andrew Christensen and Matthew Black. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.