Daniel Campos

11 papers and 111 indexed citations i.

About

Daniel Campos is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Daniel Campos has authored 11 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Information Systems. Recurrent topics in Daniel Campos’s work include Topic Modeling (8 papers), Data Quality and Management (4 papers) and Natural Language Processing Techniques (3 papers). Daniel Campos is often cited by papers focused on Topic Modeling (8 papers), Data Quality and Management (4 papers) and Natural Language Processing Techniques (3 papers). Daniel Campos collaborates with scholars based in United States, United Kingdom and Canada. Daniel Campos's co-authors include Bhaskar Mitra, Nick Craswell, Emine Yılmaz, Jimmy Lin, Bodo Billerbeck, Ellen M. Voorhees, Ian Soboroff, Dan Alistarh, Daniel P. Miggins and ChengXiang Zhai and has published in prestigious journals such as Geologica Carpathica, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Daniel Campos i

Fields of papers citing papers by Daniel Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Campos. 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 Daniel Campos. The network helps show where Daniel Campos may publish in the future.

Countries citing papers authored by Daniel Campos

Since Specialization
Citations

This map shows the geographic impact of Daniel Campos'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 Daniel Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Campos more than expected).

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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