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import os |
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import scholarpy |
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import tempfile |
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import pandas as pd |
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import streamlit as st |
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import leafmap.foliumap as leafmap |
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import plotly.express as px |
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from scholarly import scholarly |
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def app(): |
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st.title("Search Google Scholar") |
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row1_col1, row1_col2 = st.columns([1, 1]) |
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placeholder = st.empty() |
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with row1_col1: |
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name = st.text_input("Enter a researcher name:", "") |
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if name: |
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placeholder.text("Searching...") |
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if name not in st.session_state: |
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authors = scholarpy.get_author_list(name) |
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st.session_state[name] = authors |
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else: |
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authors = st.session_state[name] |
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placeholder.empty() |
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if len(authors) == 0: |
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with row1_col1: |
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st.write("No results found") |
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else: |
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with row1_col1: |
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st.write("Found {} results:".format(len(authors))) |
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author = st.selectbox("Select a researcher:", authors) |
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if author: |
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placeholder.text("Retrieving data...") |
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id = author.split("|")[1].strip() |
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if id not in st.session_state: |
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record = scholarpy.get_author_record(id=id) |
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st.session_state[id] = record |
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else: |
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record = st.session_state[id] |
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basics = scholarpy.get_author_basics( |
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record=record, return_df=True) |
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out_csv = os.path.join(tempfile.gettempdir(), "basics.csv") |
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basics.to_csv(out_csv, sep="\t", index=False) |
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df = pd.read_csv(out_csv, sep="\t") |
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with row1_col1: |
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st.header("Basic information") |
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markdown = f"""Google Scholar Profile: <https://scholar.google.com/citations?user={id}>""" |
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st.markdown(markdown) |
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if "url_picture" in record and len(record["url_picture"]) > 0: |
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st.image(record["url_picture"]) |
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st.dataframe(df) |
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leafmap.st_download_button( |
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"Download data", df, csv_sep="\t") |
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pubs = scholarpy.get_author_pubs(record=record, return_df=True) |
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with row1_col1: |
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st.header("Publications") |
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st.text(f"Total number of publications: {len(pubs)}") |
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st.dataframe(pubs) |
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leafmap.st_download_button( |
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"Download data", pubs, csv_sep="\t") |
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pubs_stats, pubs_fig = scholarpy.author_pubs_by_year( |
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record=record, return_plot=True) |
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citations_stats, citations_fig = scholarpy.author_citations_by_year( |
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record=record, return_plot=True) |
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with row1_col2: |
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st.header("Plots") |
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st.plotly_chart(pubs_fig) |
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leafmap.st_download_button("Download data", pubs_stats, |
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file_name="data.csv", csv_sep="\t") |
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st.plotly_chart(citations_fig) |
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leafmap.st_download_button( |
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"Download data", citations_stats, file_name="data.csv", csv_sep="\t") |
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if len(record["coauthors"]) > 0: |
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st.header("Co-authors") |
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st.text( |
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"Co-authors listed on Google Scholar profile only.") |
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coauthors = scholarpy.get_author_coauthors( |
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record=record, return_df=True) |
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st.dataframe(coauthors) |
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leafmap.st_download_button( |
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"Download data", coauthors, file_name="data.csv", csv_sep="\t") |
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placeholder.empty() |
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