---
title: "Who cites Rohin Shah"
description: "199 papers of the Elamur Research library cite the works of Rohin Shah, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/rohin-shah/cited-by/"
---
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# Who cites Rohin Shah

238 citations of their works from 199 papers of our library (of the 140,884 whose bibliographies we read) · 9 with a page here, the most cited first · [← Rohin Shah](https://md.research.elamur.ai/free/en/authors/rohin-shah/)

1. [**Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context**Gemini Team, Petko Georgiev, Ving Ian Lei, et al.*2024 · 1,522 citations*](https://md.research.elamur.ai/free/en/papers/gemini-team-2024-gemini-1-5-unlocking-multimodal/)
2. [**OpenAI o1 System Card**OpenAI, Aaron Jaech, Adam Kalai, et al.*2024 · 1,065 citations*](https://md.research.elamur.ai/free/en/papers/openai-2024-openai-o1-system-card/)
3. [**Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities**Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.*2025 · 906 citations*](https://md.research.elamur.ai/free/en/papers/comanici-2025-gemini-2-5-pushing-frontier/)
4. [**Explainability for Large Language Models: A Survey**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)
5. [**Representation Engineering: A Top-Down Approach to AI Transparency**Andy Zou, Long Phan, Sarah Chen, et al.*2023 · 386 citations*](https://md.research.elamur.ai/free/en/papers/zou-2023-representation-engineering-top-down-approach/)
6. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
7. [**The Quantization Model of Neural Scaling**Eric J. Michaud, Ziming Liu, Uzay Girit, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/michaud-2023-quantization-model-neural-scaling/)
8. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)
9. [**Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated Neurons**Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago*2026*](https://md.research.elamur.ai/free/en/papers/munoz-2026-reliable-ai-fairness-challenges-steering/)

190 more citing papers of our library have no page here yet.

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