Michael Bloodgood

About

Michael Bloodgood is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Michael Bloodgood has authored 14 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in Molecular Biology. Recurrent topics in Michael Bloodgood’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Machine Learning and Algorithms (5 papers). Michael Bloodgood is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Machine Learning and Algorithms (5 papers). Michael Bloodgood collaborates with scholars based in United States. Michael Bloodgood's co-authors include Chris Callison-Burch, K. Vijay‐Shanker, Lori Levin, Christine Piatko, Bonnie J. Dorr, Nathaniel Wesley Filardo, S.L. Miller, Mona Diab, Benjamin Strauss and Vinodkumar Prabhakaran and has published in prestigious journals such as The Journal of Cell Biology, Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Michael Bloodgood

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bloodgood. A scholar is included among the top collaborators of Michael Bloodgood 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 Michael Bloodgood. Michael Bloodgood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Michael Bloodgood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Bloodgood

Since Specialization

Citations

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