ChatGPT ChatGPT

529 total citations
3 papers, 2 citations indexed

About

ChatGPT ChatGPT is a scholar working on Sociology and Political Science, Artificial Intelligence and Education. According to data from OpenAlex, ChatGPT ChatGPT has authored 3 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Artificial Intelligence and 1 paper in Education. Recurrent topics in ChatGPT ChatGPT's work include Law, Ethics, and AI Impact (1 paper), Topic Modeling (1 paper) and Conflict, Peace, and Violence in Colombia (1 paper). ChatGPT ChatGPT is often cited by papers focused on Law, Ethics, and AI Impact (1 paper), Topic Modeling (1 paper) and Conflict, Peace, and Violence in Colombia (1 paper). ChatGPT ChatGPT collaborates with scholars based in Chile and Germany. ChatGPT ChatGPT's co-authors include Gregory Patrick Veldhuizen and has published in prestigious journals such as SHILAP Revista de lepidopterología and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

ChatGPT ChatGPT

2 papers receiving 2 citations

Peers

ChatGPT ChatGPT
ChatGPT ChatGPT
Citations per year, relative to ChatGPT ChatGPT ChatGPT ChatGPT (= 1×) peers Xianzhong Huang

Countries citing papers authored by ChatGPT ChatGPT

Since Specialization
Citations

This map shows the geographic impact of ChatGPT ChatGPT's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by ChatGPT ChatGPT with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ChatGPT ChatGPT more than expected).

Fields of papers citing papers by ChatGPT ChatGPT

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by ChatGPT ChatGPT. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by ChatGPT ChatGPT. The network helps show where ChatGPT ChatGPT may publish in the future.

Co-authorship network of co-authors of ChatGPT ChatGPT

This figure shows the co-authorship network connecting the top 25 collaborators of ChatGPT ChatGPT. A scholar is included among the top collaborators of ChatGPT ChatGPT based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with ChatGPT ChatGPT. ChatGPT ChatGPT is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
ChatGPT, ChatGPT, et al.. (2024). género de la inteligencia artificial: un diálogo-editorial con ChatGPT a modo de presentación del dosier. SHILAP Revista de lepidopterología. 7(1). 11–20. 1 indexed citations
2.
ChatGPT, ChatGPT, et al.. (2023). El pico: inteligencia artificial y estupidez humana.
3.
Veldhuizen, Gregory Patrick & ChatGPT ChatGPT. (2022). The Advantages and Challenges of Leveraging Large Language Models for Research Papers. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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