David Graff
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Materials Chemistry
- Molecular Biology
- Artificial Intelligence top 5%
- Co-authors
- Robert R. KnowlesConnor W. ColeyEugene I. ShakhnovichQilei ZhuCharles J. McGillYunsie ChungKevin P. GreenmanJoachim Demaerel
- Topics
- Speech Recognition and Synthesis (11 papers)Machine Learning in Materials Science (9 papers)Computational Drug Discovery Methods (8 papers)
- Journals
- Journal of the American Chemical SocietyThe Journal of the Acoustical Society of AmericaChemical Science
- Partner nations
- United StatesIrelandAustria
In The Last Decade
David Graff
30 papers receiving 924 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 333
- Organic Chemistry 282
- Materials Chemistry 281
- Molecular Biology 228
- Artificial Intelligence 205
Countries citing papers authored by David Graff
This map shows the geographic impact of David Graff'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 David Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Graff more than expected).
Fields of papers citing papers by David Graff
This network shows the impact of papers produced by David Graff. 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 David Graff. The network helps show where David Graff may publish in the future.
Co-authorship network of co-authors of David Graff
This figure shows the co-authorship network connecting the top 25 collaborators of David Graff. A scholar is included among the top collaborators of David Graff 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 David Graff. David Graff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | Chemprop: A Machine Learning Package for Chemical Property Predictionbreakdown → | 250 |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 112 | |
| 9 | Multi-language Speech Collection for NIST LRE | 2 |
| 10 | The RATS Collection: Supporting HLT Research with Degraded Audio Data | 6 |
| 11 | Developing LMF-XML Bilingual Dictionaries for Colloquial Arabic Dialects | 8 |
| 12 | New resources for recognition of confusable linguistic varieties: the LRE11 corpus. | 2 |
| 13 | Mixer 6 | 3 |
| 14 | Greybeard Longitudinal Speech Study | 3 |
| 15 | From Speech to Trees: Applying Treebank Annotation to Arabic Broadcast News | 10 |
| 16 | Speaker Recognition: Building the Mixer 4 and 5 Corpora. | 7 |
| 17 | Lexicon Development for Varieties of Spoken Colloquial Arabic. | 10 |
| 18 | Quality Control in Large Annotation Projects Involving Multiple Judges: The Case of the TDT Corpora | 13 |
| 19 | Large, Multilingual, Broadcast News Corpora for Cooperative Research in Topic Detection and Tracking: The TDT-2 and TDT-3 Corpus Efforts | 10 |
| 20 | The TDT-2 Text And Speech Corpus | 11 |
About David Graff
David Graff is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 32 papers that have together received 975 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Machine Learning in Materials Science (9 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Computational Theory and Mathematics (333 citations), Organic Chemistry (282 citations) and Signal Processing (87 citations). David Graff has collaborated with scholars based in United States, Ireland and Austria. Frequent co-authors include Robert R. Knowles, Connor W. Coley, Eugene I. Shakhnovich, Qilei Zhu, Charles J. McGill, Yunsie Chung, Kevin P. Greenman, Joachim Demaerel, Florence H. Vermeire and Casey B. Roos. Their work appears in journals such as Journal of the American Chemical Society, The Journal of the Acoustical Society of America and Chemical Science.
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.