Search Papers
curl --request GET \
--url https://discover.veritus.ai/api/v1/papers/search \
--header 'Authorization: Bearer <token>'import requests
url = "https://discover.veritus.ai/api/v1/papers/search"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://discover.veritus.ai/api/v1/papers/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://discover.veritus.ai/api/v1/papers/search"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}{
"[]": [
{
"abstract": "<string>",
"authors": "<string>",
"doi": "<string>",
"downloadable": true,
"engine": "<string>",
"fieldsOfStudy": [
"<string>"
],
"id": "<string>",
"impactFactor": {
"citationCount": 123,
"influentialCitationCount": 123,
"referenceCount": 123
},
"isOpenAccess": true,
"isPrePrint": true,
"journalName": "<string>",
"link": "<string>",
"pdfLink": "<string>",
"publicationType": "<string>",
"publishedAt": "<string>",
"score": 123,
"semanticLink": "<string>",
"title": "<string>",
"titleLink": "<string>",
"tldr": "<string>",
"v_country": "<string>",
"v_journal_name": "<string>",
"v_publisher": "<string>",
"v_quartile_ranking": "<string>",
"year": 123
}
]
}Others
Search Papers
Search for papers by title
GET
/
v1
/
papers
/
search
Search Papers
curl --request GET \
--url https://discover.veritus.ai/api/v1/papers/search \
--header 'Authorization: Bearer <token>'import requests
url = "https://discover.veritus.ai/api/v1/papers/search"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://discover.veritus.ai/api/v1/papers/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://discover.veritus.ai/api/v1/papers/search"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}{
"[]": [
{
"abstract": "<string>",
"authors": "<string>",
"doi": "<string>",
"downloadable": true,
"engine": "<string>",
"fieldsOfStudy": [
"<string>"
],
"id": "<string>",
"impactFactor": {
"citationCount": 123,
"influentialCitationCount": 123,
"referenceCount": 123
},
"isOpenAccess": true,
"isPrePrint": true,
"journalName": "<string>",
"link": "<string>",
"pdfLink": "<string>",
"publicationType": "<string>",
"publishedAt": "<string>",
"score": 123,
"semanticLink": "<string>",
"title": "<string>",
"titleLink": "<string>",
"tldr": "<string>",
"v_country": "<string>",
"v_journal_name": "<string>",
"v_publisher": "<string>",
"v_quartile_ranking": "<string>",
"year": 123
}
]
}Search for papers by title and get a list of matching results.
Parameters
string
required
The title of the paper to search for
Response
Returns an array of matching papers.object[]
Array of paper objects
Show child attributes
Show child attributes
string
Paper abstract text (string or null)
string
Comma-separated list of author names
string
Digital Object Identifier (string or null)
boolean
Whether the paper PDF is downloadable
string
Search engine used (optional)
string[]
Array of field of study categories
string
Unique paper identifier
object
boolean
Whether the paper is open access (optional)
boolean
Whether the paper is a preprint (optional)
string
Name of the journal (string or null)
string
URL to the paper (optional)
string
URL to the PDF (optional)
string
Type of publication (string or null)
string
Publication date (string or null)
number
Relevance score (number or null)
string
Link to Semantic Scholar page (optional)
string
Paper title
string
Link to paper title page (optional)
string
TLDR summary of the paper (string or null)
string
Country of publication venue (string or null)
string
Journal name from venue data (string or null)
string
Publisher name (string or null)
string
Quartile ranking (Q1, Q2, Q3, Q4, or null)
number
Publication year (number or null)
Example
Try searching for papers about “Machine Learning” or “Neural Networks” to see results.⌘I