Ruth Ahnert
Impact in
Papers in
-
- Digital Humanities and Scholarship 3
- Literature: history, themes, analysis 2
- History 5
- Co-authors
- Sebastian E. Ahnert (6 shared papers)Scott Weingart (1 shared paper)Emma Griffin (2 shared papers)Kasra Hosseini (1 shared paper)Giovanni Colavizza (1 shared paper)Jon Lawrence (1 shared paper)Federico Nanni (1 shared paper)Kaspar Beelen (3 shared papers)
- Journals
- ELH (1 paper)Leonardo (1 paper)History Workshop Journal (1 paper)Literature Compass (1 paper)The Cambridge Quarterly (1 paper)
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Ruth Ahnert
13 papers receiving 128 citations
Peers
Comparison fields: 5 of 49
- Classics 17
- History 48
- Literature and Literary Theory 34
- General Social Sciences 9
- History and Philosophy of Science 9
Countries citing papers authored by Ruth Ahnert
This map shows the geographic impact of Ruth Ahnert'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 Ruth Ahnert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Ahnert more than expected).
Fields of papers citing papers by Ruth Ahnert
This network shows the impact of papers produced by Ruth Ahnert. 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 Ruth Ahnert. The network helps show where Ruth Ahnert may publish in the future.
Co-authors
The 16 scholars most cited alongside Ruth Ahnert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 43 | |
| 2 | 2015 | 26 | |
| 3 | 2023 | 19 | |
| 4 | 2020 | 19 | |
| 5 | 2013 | 14 | |
| 6 | 2021 | 10 | |
| 7 | 2019 | 7 | |
| 8 | 2018 | 5 | |
| 9 | 2009 | 2 | |
| 10 | 2014 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2023 | 0 | |
| 16 | Networking Archives: Quantitative History and the Contingent Archive. | 2020 | 0 |
| 17 | 2024 | 0 |
About Ruth Ahnert
Ruth Ahnert is a scholar working on Literature and Literary Theory, History, Anthropology, Clinical Psychology and Sociology and Political Science, having authored 17 papers that have together received 151 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (3 papers), Image Processing and 3D Reconstruction (2 papers), Historical Economic and Social Studies (2 papers), Misinformation and Its Impacts (2 papers), Opinion Dynamics and Social Influence (2 papers), Medieval Literature and History (2 papers), Historical Psychiatry and Medical Practices (2 papers) and Literature: history, themes, analysis (2 papers). The work is most often cited by research in Classics (17 citations), History (48 citations), Literature and Literary Theory (34 citations), General Social Sciences (9 citations) and History and Philosophy of Science (9 citations). Ruth Ahnert has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include Sebastian E. Ahnert, Scott Weingart, Emma Griffin, Kasra Hosseini, Giovanni Colavizza, Jon Lawrence, Federico Nanni, Kaspar Beelen, James Hetherington and Amrey Krause. Their work appears in journals such as ELH, Leonardo, History Workshop Journal, Literature Compass and The Cambridge Quarterly.
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.