Neil Coffee

462 total citations
13 papers, 107 citations indexed

About

Neil Coffee is a scholar working on Literature and Literary Theory, Artificial Intelligence and Anthropology. According to data from OpenAlex, Neil Coffee has authored 13 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Literature and Literary Theory, 6 papers in Artificial Intelligence and 5 papers in Anthropology. Recurrent topics in Neil Coffee's work include Digital Humanities and Scholarship (6 papers), Natural Language Processing Techniques (5 papers) and Classical Antiquity Studies (4 papers). Neil Coffee is often cited by papers focused on Digital Humanities and Scholarship (6 papers), Natural Language Processing Techniques (5 papers) and Classical Antiquity Studies (4 papers). Neil Coffee collaborates with scholars based in United States and Switzerland. Neil Coffee's co-authors include Christopher W. Forstall, Jean-Pierre Koenig, Shakthi Poornima, Walter J. Scheirer, Thomas Buck, Neil W. Bernstein, David M. Johnson and Jason J. Corso and has published in prestigious journals such as The Classical World, The American Journal of Philology and Literary and Linguistic Computing.

In The Last Decade

Neil Coffee

12 papers receiving 91 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Neil Coffee United States	6	65	42	20	12	11	13	107
Giorgio Pasquali Italy	6	13 0.2×	22 0.5×	23 1.1×	11 0.9×	22 2.0×	11	106
Sebastiano Timpanaro	5	13 0.2×	30 0.7×	32 1.6×	14 1.2×	22 2.0×	22	117
Neil Rhodes United Kingdom	6	6 0.1×	48 1.1×	20 1.0×	19 1.6×	15 1.4×	24	132
Martin Wiggins United Kingdom	5	14 0.2×	41 1.0×	16 0.8×	14 1.2×	5 0.5×	19	104
Mirko Tavoni Italy	5	22 0.3×	19 0.5×	5 0.3×	5 0.4×	17 1.5×	32	66
MacDonald P. Jackson New Zealand	7	57 0.9×	53 1.3×	9 0.5×	34 2.8×	9 0.8×	29	113
John G. Fitch Canada	5	7 0.1×	12 0.3×	42 2.1×	6 0.5×	8 0.7×	18	80
Martha Nell Smith United States	6	22 0.3×	101 2.4×	2 0.1×	26 2.2×	3 0.3×	14	161
Peter Low New Zealand	7	22 0.3×	15 0.4×	6 0.3×	12 1.0×	118 10.7×	9	155
Charlotte Bosseaux United Kingdom	8	60 0.9×	53 1.3×	7 0.3×	11 0.9×	155 14.1×	15	179

Countries citing papers authored by Neil Coffee

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Neil Coffee

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Coffee. A scholar is included among the top collaborators of Neil Coffee 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 Neil Coffee. Neil Coffee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Coffee, Neil. (2018). An Agenda for the Study of Intertextuality. 148(1). 205–223. 5 indexed citations

2.

Coffee, Neil & Neil W. Bernstein. (2016). Digital Methods and Classical Studies. Digital humanities quarterly. 10(2). 1 indexed citations

3.

Scheirer, Walter J., Christopher W. Forstall, & Neil Coffee. (2014). The sense of a connection: Automatic tracing of intertextuality by meaning. Digital Scholarship in the Humanities. 31(1). 204–217. 16 indexed citations

4.

Forstall, Christopher W., et al.. (2014). Modeling the scholars: Detecting intertextuality through enhanced word-level n-gram matching. Digital Scholarship in the Humanities. 30(4). 503–515. 11 indexed citations

5.

Coffee, Neil, et al.. (2013). Modelling the Interpretation of Literary Allusion with Machine Learning Techniques.. DH. 478–479. 1 indexed citations

6.

Coffee, Neil, et al.. (2012). The Tesserae Project: intertextual analysis of Latin poetry. Literary and Linguistic Computing. 28(2). 221–228. 27 indexed citations

7.

Coffee, Neil, et al.. (2012). Intertextuality in the Digital Age. Transactions of the American Philological Association (1974-). 142(2). 383–422. 26 indexed citations

8.

Coffee, Neil. (2012). Active Latin: Quo Tendimus?. The Classical World. 105(2). 255–269. 5 indexed citations

9.

Coffee, Neil, et al.. (2011). The Tesserae Project: Intertextual Analysis of Latin Poetry.. DH. 300–302. 3 indexed citations

10.

Coffee, Neil. (2009). The Commerce of War. 6 indexed citations

11.

Coffee, Neil. (2009). Statius’ Theseus: Martial or Merciful?. Classical Philology. 104(2). 221–228. 3 indexed citations

12.

Coffee, Neil. (2006). Eteocles, Polynices, and the Economics of Violence in Statius' Thebaid. The American Journal of Philology. 127(3). 415–452. 2 indexed citations

13.

Coffee, Neil. (2006). THE ΦOPTHΓOI; OF THEOGNIS 667–82. The Classical Quarterly. 56(1). 304–305. 1 indexed citations

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.

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