Anthony R. Davis
- Hepatology top 1%
- Epidemiology top 5%
- Immunology top 10%
- Language and Linguistics top 2%
- Artificial Intelligence top 10%
- Co-authors
- Barbara RehermannHeiner WedemeyerJean-Pierre KoenigT. Jake LiangHarry B. GreenbergMichelina NascimbeniXiao-Song HeJay H. Hoofnagle
- Topics
- Natural Language Processing Techniques (14 papers)Topic Modeling (6 papers)Syntax, Semantics, Linguistic Variation (6 papers)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Anthony R. Davis
23 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Hepatology 741
- Epidemiology 515
- Immunology 425
- Language and Linguistics 214
- Artificial Intelligence 196
Countries citing papers authored by Anthony R. Davis
This map shows the geographic impact of Anthony R. Davis'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 Anthony R. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony R. Davis more than expected).
Fields of papers citing papers by Anthony R. Davis
This network shows the impact of papers produced by Anthony R. Davis. 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 Anthony R. Davis. The network helps show where Anthony R. Davis may publish in the future.
Co-authorship network of co-authors of Anthony R. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony R. Davis. A scholar is included among the top collaborators of Anthony R. Davis 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 Anthony R. Davis. Anthony R. Davis 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 | Narrative Schema Stability in News Text. | 0 |
| 3 | 19 | |
| 4 | 19 | |
| 5 | Contextually-Mediated Semantic Similarity Graphs for Topic Segmentation | 6 |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 46 | |
| 9 | 9 | |
| 10 | Impaired Effector Function of Hepatitis C Virus-Specific CD8+ T Cells in Chronic Hepatitis C Virus Infectionbreakdown → | 535 |
| 11 | 65 | |
| 12 | 97 | |
| 13 | 51 | |
| 14 | 196 | |
| 15 | 59 | |
| 16 | Linking by Types in the Hierarchical Lexicon | 61 |
| 17 | 4 | |
| 18 | 70 | |
| 19 | Lexical semantics and linking in the hierarchical lexicon | 27 |
| 20 | 3 |
About Anthony R. Davis
Anthony R. Davis is a scholar working on Language and Linguistics, Hepatology and Artificial Intelligence, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (6 papers) and Syntax, Semantics, Linguistic Variation (6 papers). The work is most often cited by research in Hepatology (741 citations), Virology (122 citations) and Language and Linguistics (214 citations). Anthony R. Davis has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Barbara Rehermann, Heiner Wedemeyer, Jean-Pierre Koenig, T. Jake Liang, Harry B. Greenberg, Michelina Nascimbeni, Xiao-Song He, Jay H. Hoofnagle, Harvey J. Alter and Eishiro Mizukoshi. Their work appears in journals such as The Journal of Immunology, Gastroenterology and Hepatology.
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.