Nina Auerbach

2.2k citations
47 papers · 817 · h-index 14

Impact in

    • Literature: history, themes, analysis
    • Folklore, Mythology, and Literature Studies
    • Shakespeare, Adaptation, and Literary Criticism
    • Themes in Literature Analysis
    • Gothic Literature and Media Analysis

Papers in

Nina Auerbach

36 papers receiving 491 citations

Peers

Nina Auerbach
Comparison fields: 5 of 100
  • Literature and Literary Theory 315
  • Cultural Studies 127
  • Music 32
  • History 101
  • Museology 33
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Barbara Fuchs Germany
D. A. Miller United States
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Rebecca Schneider United States
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Citations per field
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Citations per year

Countries citing papers authored by Nina Auerbach

Since Specialization
Citations

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

Fields of papers citing papers by Nina Auerbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nina Auerbach, 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 Nina Auerbach Line = papers co-authored together Nina Auerbach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014212
2 1985106
3 197879
4 199568
5 198365
6 199231
7 198725
8 200421
9 199221
10 199020
11 198715
12 202114
13 199214
14 198013
15 198111
16
Communities of Women
197810
17
Dracula : authoritative text, contexts, reviews and reactions, dramatic and film variations, criticism
19979
18 19907
19 20247
20
Daphne du Maurier, haunted heiress
19997

About Nina Auerbach

Nina Auerbach is a scholar working on Literature and Literary Theory, Sociology and Political Science, Anthropology, Cultural Studies and Visual Arts and Performing Arts, having authored 47 papers that have together received 817 indexed citations. Recurring topics across this work include Shakespeare, Adaptation, and Literary Criticism (5 papers), Literature: history, themes, analysis (5 papers), Gothic Literature and Media Analysis (3 papers), Publishing and Scholarly Communication (2 papers), Colonialism, slavery, and trade (2 papers), Race, History, and American Society (2 papers), Photography and Visual Culture (1 paper) and Joseph Conrad and Literature (1 paper). The work is most often cited by research in Literature and Literary Theory (315 citations), Cultural Studies (127 citations), Music (32 citations), History (101 citations) and Museology (33 citations). Nina Auerbach has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Karl Kroeber, Joseph A. Kestner, Kelly R. Monk, Torsten Schöneberg, Ines Liebscher, Sarah C. Petersen, Maxi Cöster, Amit Mogha, Sven Rothemund and Kerry Powell. Their work appears in journals such as Tulsa Studies in Women s Literature, Modern Language Quarterly, Victorian Literature and Culture, Feminist Studies and ELH.

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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