Christopher W. Forstall

575 total citations
14 papers, 248 citations indexed

About

Christopher W. Forstall is a scholar working on Artificial Intelligence, Literature and Literary Theory and Classics. According to data from OpenAlex, Christopher W. Forstall has authored 14 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Literature and Literary Theory and 2 papers in Classics. Recurrent topics in Christopher W. Forstall's work include Natural Language Processing Techniques (7 papers), Authorship Attribution and Profiling (6 papers) and Digital Humanities and Scholarship (5 papers). Christopher W. Forstall is often cited by papers focused on Natural Language Processing Techniques (7 papers), Authorship Attribution and Profiling (6 papers) and Digital Humanities and Scholarship (5 papers). Christopher W. Forstall collaborates with scholars based in United States, Brazil and Switzerland. Christopher W. Forstall's co-authors include Walter J. Scheirer, Neil Coffee, Anderson Rocha, Antônio Theóphilo, Efstathios Stamatatos, Jean-Pierre Koenig, Shakthi Poornima, Thomas Buck, David M. Johnson and Jason J. Corso and has published in prestigious journals such as IEEE Access, IEEE Transactions on Information Forensics and Security and Literary and Linguistic Computing.

In The Last Decade

Christopher W. Forstall

13 papers receiving 224 citations

Peers

Countries citing papers authored by Christopher W. Forstall

Since Specialization

Citations

This map shows the geographic impact of Christopher W. Forstall'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 Christopher W. Forstall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher W. Forstall more than expected).

Fields of papers citing papers by Christopher W. Forstall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Forstall. 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 Christopher W. Forstall. The network helps show where Christopher W. Forstall may publish in the future.

Co-authorship network of co-authors of Christopher W. Forstall

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Quantitative Intertextuality: Analyzing the Markers of Information Reuse 2019 ·CERN Document Server (European Organization for Nuclear Research) ·Christopher W. Forstall, Walter J. Scheirer	1
2	Quantitative Intertextuality 2019 ·Christopher W. Forstall, Walter J. Scheirer	2
3	Practical Text Phylogeny for Real-World Settings 2018 ·IEEE Access ·(unknown), Christopher W. Forstall, Anderson Rocha, Walter J. Scheirer	5
4	Authorship Attribution for Social Media Forensics 2016 ·IEEE Transactions on Information Forensics and Security ·Anderson Rocha, Walter J. Scheirer, Christopher W. Forstall, (unknown), Antônio Theóphilo, (unknown), (unknown), Efstathios Stamatatos	126
5	The sense of a connection: Automatic tracing of intertextuality by meaning 2014 ·Digital Scholarship in the Humanities ·Walter J. Scheirer, Christopher W. Forstall, Neil Coffee	16
6	Modeling the scholars: Detecting intertextuality through enhanced word-level n-gram matching 2014 ·Digital Scholarship in the Humanities ·Christopher W. Forstall, Neil Coffee, Thomas Buck, (unknown), (unknown)	11
7	Modelling the Interpretation of Literary Allusion with Machine Learning Techniques. 2013 ·DH ·Neil Coffee, (unknown), Christopher W. Forstall, Walter J. Scheirer, David M. Johnson, Jason J. Corso, (unknown)	1
8	The Tesserae Project: intertextual analysis of Latin poetry 2012 ·Literary and Linguistic Computing ·Neil Coffee, Jean-Pierre Koenig, (unknown), Christopher W. Forstall, (unknown), (unknown)	27
9	Intertextuality in the Digital Age 2012 ·Transactions of the American Philological Association (1974-) ·Neil Coffee, Jean-Pierre Koenig, Shakthi Poornima, (unknown), Christopher W. Forstall, (unknown)	26
10	The Tesserae Project: Intertextual Analysis of Latin Poetry. 2011 ·DH ·Neil Coffee, Jean-Pierre Koenig, Shakthi Poornima, Christopher W. Forstall, (unknown), (unknown)	3
11	Visualizing Sound as Functional N-Grams in Homeric Greek Poetry. 2011 ·DH ·Christopher W. Forstall, Walter J. Scheirer	1
12	Evidence of intertextuality: investigating Paul the Deacon's Angustae Vitae 2011 ·Literary and Linguistic Computing ·Christopher W. Forstall, (unknown), Walter J. Scheirer	18
13	Features From Frequency: Authorship and Stylistic Analysis Using Repetitive Sound 2010 ·Knowledge@UChicago (University of Chicago) ·Christopher W. Forstall, Walter J. Scheirer	10
14	A Statistical Stylistic Study of Latin Elegiac Couplets 2010 ·Christopher W. Forstall, Walter J. Scheirer	1

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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