Ryan Cordell
- Literature and Literary Theory top 5%
- Artificial Intelligence
- Conservation top 5%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Topics
- Digital Humanities and Scholarship (8 papers)Big Data and Business Intelligence (2 papers)American and British Literature Analysis (2 papers)
- Partner nations
- United StatesMexico
In The Last Decade
Ryan Cordell
16 papers receiving 127 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Literature and Literary Theory 93
- Artificial Intelligence 41
- Conservation 25
- Sociology and Political Science 21
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Ryan Cordell
This map shows the geographic impact of Ryan Cordell'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 Ryan Cordell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Cordell more than expected).
Fields of papers citing papers by Ryan Cordell
This network shows the impact of papers produced by Ryan Cordell. 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 Ryan Cordell. The network helps show where Ryan Cordell may publish in the future.
Co-authorship network of co-authors of Ryan Cordell
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Cordell. A scholar is included among the top collaborators of Ryan Cordell 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 Ryan Cordell. Ryan Cordell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Machine learning and libraries: a report on the state of the field | 10 |
| 7 | Teaching Humanistic Data Analysis | 1 |
| 8 | "Fugitive Verses": The Circulation of Poems in Nineteenth-Century American Newspapers | 5 |
| 9 | 33 | |
| 10 | Forum: Digital Approaches to Periodical Studies | 1 |
| 11 | What Has the Digital Meant to American Periodicals Scholarship | 3 |
| 12 | A larger view of digital American studies | 1 |
| 13 | Reprinting, Circulation, and the Network Author in Antebellum Newspapersbreakdown → | 33 |
| 14 | 28 | |
| 15 | 3 | |
| 16 | The Future of Undergraduate Digital Humanities. | 1 |
| 17 | 10 | |
| 18 | 36 | |
| 19 | 1 |
About Ryan Cordell
Ryan Cordell is a scholar working on Literature and Literary Theory, Conservation and General Social Sciences, having authored 19 papers that have together received 170 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (8 papers), Big Data and Business Intelligence (2 papers) and American and British Literature Analysis (2 papers). The work is most often cited by research in Literature and Literary Theory (93 citations), Conservation (25 citations) and General Social Sciences (19 citations). Ryan Cordell has collaborated with scholars based in United States and Mexico. Frequent co-authors include David A. Smith, Elizabeth Maddock Dillon and Cheryl E. Ball. Their work appears in journals such as Journal of Information Science, Library trends and American Literary History.
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.