---
title: "Kennewick — research institutions and their papers in our library"
description: "Kennewick (United States): 1 institutions with papers on Elamur Research — 1 research institute — and 1,078 citations of their works."
canonical: "https://research.elamur.ai/free/en/agglomerations/kennewick/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/kennewick/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Kennewick

# Kennewick

Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 250,828 (functional urban area, GHSL 2015)

**1** institution with a page**2** works in our library**1,078** citations of their works

## Institutions (1)

1 research institute.

### 🔬 Labs and research institutes (1)

1. **[Pacific Northwest National Laboratory](https://md.research.elamur.ai/free/en/labs/pacific-northwest-national-laboratory/)**Research institute · Richland, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*2 works · 1,078 citations*

## Works in our library (2)

Works of its institutions, the most cited first.

1. **[Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.*2017 · 1,074 citations*
2. **[PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference](https://md.research.elamur.ai/free/en/papers/venkata-2026-pagedeviction-structured-block-wise-kv/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Krishna Teja Chitty-Venkata, Jie Ye, Siddhisanket Raskar, et al.*2026 · 4 citations*

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/kennewick/year/2026/)

### 2010s

[**2017** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/kennewick/year/2017/)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth.

- [← back to](https://md.research.elamur.ai/free/en/countries/united-states/) — United States

Updated 31 October 2026
