# Behavioral Decision Making Studies

**Use case:** 

Extract top cited papers in behavioral economics and choice architecture.

## Input

```json
{
  "query": "nudge behavioral decision",
  "sort": "is-referenced-by-count",
  "order": "desc",
  "mailto": "reapxdev@proton.me",
  "max_results": 50
}
```

## Output

```json
{
  "paperId": {
    "label": "Paper ID",
    "format": "string"
  },
  "doi": {
    "label": "DOI",
    "format": "string"
  },
  "title": {
    "label": "Work Title",
    "format": "string"
  },
  "publicationYear": {
    "label": "Publication Year",
    "format": "integer"
  },
  "type": {
    "label": "Publication Type",
    "format": "string"
  },
  "publisher": {
    "label": "Publisher",
    "format": "string"
  },
  "containerTitle": {
    "label": "Container Title",
    "format": "string"
  },
  "authors": {
    "label": "Authors",
    "format": "string"
  },
  "isReferencedByCount": {
    "label": "Citation Count",
    "format": "integer"
  }
}
```

## About this Actor

This example demonstrates how to use [Crossref Scraper · DOI Metadata, Authors & Journals](https://apify.com/reapx/crossref-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/reapx/crossref-scraper) to learn more, explore other use cases, and run it yourself.