---
title: "Jonathan Halcrow — author profile and papers in our library"
description: "Jonathan Halcrow: 2 papers on Elamur Research (2023–2024), h-index 7 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jonathan-halcrow/"
---
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# Jonathan Halcrow

Jonathan Halcrow has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bahare Fatemi](https://md.research.elamur.ai/free/en/authors/bahare-fatemi/), [Bryan Perozzi](https://md.research.elamur.ai/free/en/authors/bryan-perozzi/), [Mehran Kazemi](https://md.research.elamur.ai/free/en/authors/mehran-kazemi/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5021740847) · [ORCID](https://orcid.org/0009-0005-5728-394X) · [Wikidata](https://www.wikidata.org/wiki/Q130839515) · [**h-index 7**](https://openalex.org/authors/A5021740847) · [24 works](https://openalex.org/works?filter=author.id:A5021740847) · [230 citations](https://openalex.org/works?filter=author.id:A5021740847&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jonathan-halcrow/#papers) · [🔗 Cited 82 times in our library](https://md.research.elamur.ai/free/en/authors/jonathan-halcrow/cited-by/) · [⭐ Paper Stars ranking: #8354](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8354)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jonathan+Halcrow) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jonathan+Halcrow) · [dblp](https://dblp.org/search?q=Jonathan+Halcrow) · [ACL Anthology](https://aclanthology.org/search/?q=Jonathan+Halcrow)

## Affiliations

[🏢**Google** Mountain View · United States 2022–2024 · 8 papers](https://md.research.elamur.ai/free/en/companies/google/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 5 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jonathan-halcrow/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jonathan-halcrow/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Talk like a Graph: Encoding Graphs for Large Language Models](https://md.research.elamur.ai/free/en/papers/fatemi-2023-talk-like-graph-encoding-graphs/)** *(2023 · 81 citations)* Large language models are increasingly asked to reason about relational data, but no one had systematically studied how to turn a graph into text for a frozen, black-box LLM.
2. **[Understanding Transformer Reasoning Capabilities via Graph Algorithms](https://md.research.elamur.ai/free/en/papers/sanford-2024-understanding-transformer-reasoning-capabilities-graph/)** *(2024 · 21 citations)* The paper asks which transformer sizes and shapes can exactly solve different algorithmic problems on graphs.

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Bahare Fatemi](https://md.research.elamur.ai/free/en/authors/bahare-fatemi/) ×2
- [Bryan Perozzi](https://md.research.elamur.ai/free/en/authors/bryan-perozzi/) ×2
- [Mehran Kazemi](https://md.research.elamur.ai/free/en/authors/mehran-kazemi/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 82 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jonathan-halcrow/cited-by/).

Updated 3 November 2026
