Neil Coffee
Impact in
- Literature and Literary Theory top 10%
- Digital Humanities and Scholarship
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- Classical Antiquity Studies
Papers in
-
- Classical Antiquity Studies 5
- Historical and Literary Studies 2
-
- Digital Humanities and Scholarship 6
- Co-authors
- Christopher W. Forstall (6 shared papers)Jean-Pierre Koenig (3 shared papers)Walter J. Scheirer (2 shared papers)Shakthi Poornima (2 shared papers)Thomas Buck (1 shared paper)Neil W. Bernstein (1 shared paper)David M. Johnson (1 shared paper)Jason J. Corso (1 shared paper)
- Journals
- Digital Scholarship in the Humanities (2 papers)Transactions of the American Philological Association (1974-) (1 paper)The American Journal of Philology (1 paper)The Classical World (1 paper)Classical Philology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Neil Coffee
13 papers receiving 97 citations
Peers
Comparison fields: 5 of 28
- Literature and Literary Theory 44
- Anthropology 23
- Artificial Intelligence 67
- General Social Sciences 5
- Classics 4
Countries citing papers authored by Neil Coffee
This map shows the geographic impact of Neil Coffee'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 Neil Coffee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Coffee more than expected).
Fields of papers citing papers by Neil Coffee
This network shows the impact of papers produced by Neil Coffee. 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 Neil Coffee. The network helps show where Neil Coffee may publish in the future.
Co-authors
The 8 scholars most cited alongside Neil Coffee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 27 | |
| 2 | 2012 | 27 | |
| 3 | 2014 | 16 | |
| 4 | 2014 | 11 | |
| 5 | 2009 | 6 | |
| 6 | 2012 | 5 | |
| 7 | 2018 | 5 | |
| 8 | 2017 | 5 | |
| 9 | The Tesserae Project: Intertextual Analysis of Latin Poetry. | 2011 | 4 |
| 10 | 2009 | 3 | |
| 11 | 2006 | 2 | |
| 12 | Modelling the Interpretation of Literary Allusion with Machine Learning Techniques. | 2013 | 1 |
| 13 | 2016 | 1 | |
| 14 | 2006 | 1 |
About Neil Coffee
Neil Coffee is a scholar working on Anthropology, Literature and Literary Theory, Artificial Intelligence, Organic Chemistry and Classics, having authored 14 papers that have together received 114 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (6 papers), Classical Antiquity Studies (5 papers), Natural Language Processing Techniques (5 papers), Authorship Attribution and Profiling (2 papers), Topic Modeling (2 papers), Organic Chemistry Synthesis Methods (2 papers), Historical and Literary Studies (2 papers) and Translation Studies and Practices (1 paper). The work is most often cited by research in Literature and Literary Theory (44 citations), Anthropology (23 citations), Artificial Intelligence (67 citations), General Social Sciences (5 citations) and Classics (4 citations). Neil Coffee has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Christopher W. Forstall, Jean-Pierre Koenig, Walter J. Scheirer, Shakthi Poornima, Thomas Buck, Neil W. Bernstein, David M. Johnson and Jason J. Corso. Their work appears in journals such as Digital Scholarship in the Humanities, Transactions of the American Philological Association (1974-), The American Journal of Philology, The Classical World and Classical Philology.
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.