# Connected Papers vs Dewey

Connected Papers records 750,576 monthly visits with +3.1% month-over-month growth and Freemium pricing. Dewey records 0 monthly visits with — growth and Free pricing.

| Metric | [Connected Papers](https://openaitools.app/tool/connected-papers) | [Dewey](https://openaitools.app/tool/dewey) |
| :--- | :--- | :--- |
| Website URL | https://www.connectedpapers.com | https://chromewebstore.google.com/detail/dewey/oajcmbkciefmmbpfhdldgjehbkjaleda |
| Categories | AI Research Tool, AI Knowledge Graph, AI Search Engine, AI Research Papers | AI Research Papers, AI API, AI Research Tool |
| Pricing Model | Freemium | Free |
| Monthly Visits | 750,576 | 0 |
| MoM Growth Rate | +3.1% | — |
| Primary Market | United States | Global |
| Direct Visits | 308,439 | 0 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 15 | 0 |
| Supported Platforms | Website | Browser Extension |

## Connected Papers

The underlying problem Connected Papers tackles is that a literature review is usually conducted linearly: you find one paper, follow its citations, follow theirs, and gradually lose the thread of the wider field. Connected Papers instead computes similarity across a large scholarly corpus — building on data sources such as Semantic Scholar and Crossref — and lays the results out spatially. Papers that are frequently cited together or that share a large body of references cluster near each other, while the connecting edges show how strongly any two nodes relate. The layout is generated consistently, so the same graph is reproduced on later visits rather than reshuffling unpredictably.

The interface gives you two complementary views. The graph view is for orientation: which papers are central, which are recent, and which bridges connect separate clusters. The list view ranks related works by similarity and citation signals so you can drill into something specific. Common entry points include an arbitrary paper, a DOI, a URL, or a link to a conference proceedings. Prior Works and Derivative Works views are especially useful when you want to trace a field's ancestry or find what later built on a paper.

The service is aimed squarely at graduate students, postdocs and applied scientists who need to get up to speed on unfamiliar territory quickly — whether writing a related-work section, preparing a grant, or sanity-checking whether an idea has already been published. It is an independent research tool, not a publisher or a repository; the graphs are a discovery aid layered on top of existing scholarly metadata.

**Pricing & Plans:** Freemium

- **Similarity graph visualisation:** Each graph places the seed paper among its most closely related works, clustered by how often papers are cited together or share references.
- **Prior and derivative works views:** Separate perspectives show what a paper builds on and what later work builds on it, which is ideal for tracing a research lineage.
- **Multiple search inputs:** Start from a paper title, DOI, URL or proceedings link, so you can enter the graph from whatever you already have at hand.
- **Ranked list alongside the graph:** A ranked list view lets you browse related publications by relevance when you need specifics rather than an overview.
- **Stable, reproducible layouts:** The same graph is generated again on later visits, making it practical to bookmark a field's map and return to it while writing.

**Strengths:** Turns an otherwise linear citation chase into a spatial overview; Prior and derivative views make research lineage explicit; Works from a title, DOI or URL, so entry is frictionless; Free tier is enough to try it on real research tasks

**Limitations:** Requires JavaScript, so it cannot be read or scraped as a plain page; Graph quality depends on how well indexed the field is in the underlying corpus; Heaviest research-grade features sit behind paid plans

[Profile (Markdown)](https://openaitools.app/tool/connected-papers.md)

## Dewey

Dewey solves a very specific and recurring problem in academic reading: you have found one good paper and now want the others that are conceptually close to it. Instead of reformulating queries by hand across a search engine or bibliographic database, Dewey reads the paper page you are currently on and returns a set of related papers, ranked by semantic similarity rather than keyword overlap.

The extension is deliberately small — the Chrome Web Store listing reports a package of roughly 14 KB — and the entire intelligence sits behind the Exa API, an AI-native search engine built for embeddings-style retrieval over web and document content. That architecture is why Dewey can act on any paper page you land on, not just ones hosted in a single database.

Dewey is free, has no advertisements, and the developer discloses that no user data is collected or sold. It is a good fit for graduate students, systematic-review authors, and anyone who routinely jumps between Google Scholar, publisher pages, and preprint servers and wants a faster way to expand a reading list.

**Pricing & Plans:** Completely free. The Chrome Web Store listing states Dewey is free with no ads, and no paid tier is advertised.

- **One-click similar-paper search:** Press the extension on any research paper page and get a ranked list of conceptually related papers without retyping queries.
- **Semantic matching via Exa:** Results come from the Exa AI search engine, which ranks by meaning and context rather than exact keyword matches.
- **Works on any paper page:** Because retrieval runs through the Exa API, Dewey is not locked to a single repository and can act on publisher pages, preprint sites, and personal pages.
- **Zero-ads, lightweight build:** The extension ships as a very small package and shows no advertising, keeping page load and interface overhead minimal.
- **Privacy-conscious defaults:** The developer declares no data collection, no sale of data to third parties, and no unrelated use of browsing data.

**Strengths:** Completely free with no advertising; Extremely lightweight install (small package, minimal footprint); Semantic similarity produces better neighbours than keyword search; Works across publishers and preprint servers, not one walled database

**Limitations:** Depends entirely on the Exa API, so quality tracks that service; No saved libraries, annotations, or export features; Last listed update was mid-2024, so the project moves slowly

[Profile (Markdown)](https://openaitools.app/tool/dewey.md)

## Frequently Asked Questions

### How do Connected Papers and Dewey compare in monthly traffic?

Connected Papers has 750,576 monthly visits, while Dewey has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Connected Papers has a month-over-month growth rate of +3.1%; Dewey has —.

### How does pricing compare?

Connected Papers: Freemium. Freemium Dewey: Free. Completely free. The Chrome Web Store listing states Dewey is free with no ads, and no paid tier is advertised.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 2 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | Focuses on answering specific research questions with extracted evidence, rather than exploring visual citation graphs. | [.md](https://openaitools.app/tool/consensus.md) |
| 3 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Integrates deep PDF reading and analysis workspaces, but lacks dedicated visual citation network mapping capabilities. | [.md](https://openaitools.app/tool/scispace.md) |
| 4 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | Excels at automating systematic reviews and data extraction, but lacks interactive graphical citation tree exploration. | [.md](https://openaitools.app/tool/elicit.md) |
| 5 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | AI answers grounded in 300M+ scholarly full texts | [.md](https://openaitools.app/tool/scite.md) |
| 6 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Map the literature around the papers you love—free | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 7 | [Paperguide](https://openaitools.app/tool/paperguide) | 371,972 | -2.9% | Freemium | Streamlines literature search and reference management, but does not provide an interactive visual citation graph. | [.md](https://openaitools.app/tool/paperguide.md) |
| 8 | [WisPaper](https://openaitools.app/tool/wispaper) | 107,817 | +0.1% | Freemium | Screen thousands of papers down to the studies that matter | [.md](https://openaitools.app/tool/wispaper.md) |
| 9 | [Paper Digest](https://openaitools.app/tool/paper-digest) | 97,202 | -7.1% | Freemium | Delivers structured paper summaries and literature reviews, but lacks interactive visual citation exploration tools. | [.md](https://openaitools.app/tool/paper-digest.md) |
| 10 | [Open Knowledge Maps](https://openaitools.app/tool/openknowledgemaps-org) | 83,432 | -2.4% | Free | Generates visual concept map clusters for broader research fields, but lacks granular paper-to-paper citation networks. | [.md](https://openaitools.app/tool/openknowledgemaps-org.md) |

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Source: https://openaitools.app/compare/connected-papers-vs-dewey

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