Glenn Roe

659 citations
22 papers · 98 · h-index 6

Impact in

Papers in

Glenn Roe

17 papers receiving 88 citations

Peers

Glenn Roe
Comparison fields: 5 of 44
  • General Social Sciences 15
  • Literature and Literary Theory 33
  • Artificial Intelligence 43
  • Anthropology 12
  • Computer Vision and Pattern Recognition 19
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Citations per field
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Citations per year

Countries citing papers authored by Glenn Roe

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Roe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn Roe. 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 Glenn Roe. The network helps show where Glenn Roe may publish in the future.

Co-authors

The 13 scholars most cited alongside Glenn Roe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Glenn Roe Line = papers co-authored together Glenn Roe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201123
2 201618
3 201312
4 201610
5 20045
6
Plundering Philosophers: Identifying Sources of the Encyclopédie.
20105
7 20215
8 20094
9 20174
10
Intertextuality and Influence in the Age of Enlightenment: Sequence Alignment Applications for Humanities Research
20123
11 20242
12 20091
13 20051
14
Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces
20151
15
L'étude littéraire à l'ère du numérique: du texte à l'intertexte dans les "digital humanities"
20141
16
Hidden Roads and Twisted Paths: Intertextual Discovery using Clusters, Classifications, and Similarities
20081
17 20091
18
Remapping Cultural History? Digital Humanities, Historical Bibliometrics, and the Reception of Print Culture
20151
19 20240
20 20240

About Glenn Roe

Glenn Roe is a scholar working on Literature and Literary Theory, Artificial Intelligence, Anthropology, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 98 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (6 papers), Historical and Literary Studies (5 papers), Advanced Text Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers), Historical and Literary Analyses (3 papers), Force Microscopy Techniques and Applications (3 papers), Cultural Insights and Digital Impacts (3 papers) and Names, Identity, and Discrimination Research (2 papers). The work is most often cited by research in General Social Sciences (15 citations), Literature and Literary Theory (33 citations), Artificial Intelligence (43 citations), Anthropology (12 citations) and Computer Vision and Pattern Recognition (19 citations). Glenn Roe has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Mark Olsen, Liam A. McDonnell, Alfie Abdul‐Rahman, Mitchell Chen, Nicholas Cronk, Melissa Terras, Anne Welsh, David A. Smith, Min Chen and Charles L. Cooney. Their work appears in journals such as Ultramicroscopy, Computer Graphics Forum, Eighteenth-Century Studies, Digital Scholarship in the Humanities and Journal of the History of Ideas.

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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