---
title: "Who cites Authorship Attribution with Topic — 29 citing papers"
description: "29 papers of the Elamur Research library cite «Authorship Attribution with Topic Models», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/seroussi-2014-authorship-attribution-topic-models/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Authorship Attribution with Topic Models](https://md.research.elamur.ai/free/en/papers/seroussi-2014-authorship-attribution-topic-models/) / cited by

# Who cites «Authorship Attribution with Topic Models»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Authorship Attribution with Topic Models»](https://md.research.elamur.ai/free/en/papers/seroussi-2014-authorship-attribution-topic-models/)

1. **[Authorship Attribution for Neural Text Generation](https://md.research.elamur.ai/free/en/papers/uchendu-2020-authorship-attribution-neural-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Adaku Uchendu, Thai Le, Kai Shu, et al.*2020 · 196 citations*
2. **[Personalized Machine Translation: Preserving Original Author Traits](https://md.research.elamur.ai/free/en/papers/rabinovich-2017-personalized-machine-translation-preserving-original/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ella Rabinovich, Raj Nath Patel, Shachar Mirkin, et al.*2017 · 170 citations*
3. **[Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models](https://md.research.elamur.ai/free/en/papers/hamed-2026-benchmarking-arabic-authorship-attribution-style/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Injy Hamed, Bashar Alhafni, Nizar Habash, et al.*2026*
4. **[Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI](https://md.research.elamur.ai/free/en/papers/man-2026-explainable-disentangled-representation-learning-generalizable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hieu Man, Van-Cuong Pham, Nghia Trung Ngo, et al.*2026*

25 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/seroussi-2014-authorship-attribution-topic-models/) — Authorship Attribution with Topic Models
