David L. Hoover

1.4k citations
37 papers · 591 indexed · h-index 13
Topics
Authorship Attribution and Profiling (20 papers)Names, Identity, and Discrimination Research (7 papers)Hate Speech and Cyberbullying Detection (7 papers)

In The Last Decade

David L. Hoover

32 papers receiving 455 citations

Peers

David L. Hoover
Comparison fields: 5 of 56
  • Artificial Intelligence 441
  • Sociology and Political Science 136
  • Literature and Literary Theory 102
  • Language and Linguistics 96
  • Experimental and Cognitive Psychology 59
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Countries citing papers authored by David L. Hoover

Since Specialization
Citations

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

Fields of papers citing papers by David L. Hoover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Hoover. 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 L. Hoover. The network helps show where David L. Hoover may publish in the future.

Co-authorship network of co-authors of David L. Hoover

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3
Textual Variation, Text-Randomization, and Microanalysis.
1
4
Tuning the Word Frequency List.
1
5
I Feel Like Shooting Myself in the Face after taking this God-forsaken Class: The Effects of RateMyProfessors.com on University Course Registration
2
6 5
7 13
8 3
9 28
10
The Full-Spectrum Text-Analysis Spreadsheet.
0
11
Collaborative authorship : Conrad, Ford and Rolling Delta
1
12
Modes of Composition in Three Authors.
1
13
Teasing Out Authorship and Style with T-tests and Zeta
1
14
The Craig Zeta Spreadsheet.
0
15
Text-Alteration as an Interpretive Teaching Strategy: The Case of "The Snow Man"
1
16
Corpus Stylistics, Stylometry, and the Styles of Henry James
50
17 9
18 45
19 5
20 61

About David L. Hoover

David L. Hoover is a scholar working on Artificial Intelligence, Language and Linguistics and Classics, having authored 37 papers that have together received 591 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (20 papers), Names, Identity, and Discrimination Research (7 papers) and Hate Speech and Cyberbullying Detection (7 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Literature and Literary Theory (102 citations) and Language and Linguistics (96 citations). David L. Hoover has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jonathan Culpeper, Kieran O’Halloran, Mike Kestemont, Jedrzej Rybicki, Thomas N. Corns and Jan Rybicki. Their work appears in journals such as SHILAP Revista de lepidopterología, Literary and Linguistic Computing and Language and Literature International Journal of Stylistics.

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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