Sara Graves

37 papers and 266 indexed citations i.

About

Sara Graves is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Sara Graves has authored 37 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Sara Graves’s work include Scientific Computing and Data Management (10 papers), Advanced Computational Techniques and Applications (8 papers) and Distributed and Parallel Computing Systems (7 papers). Sara Graves is often cited by papers focused on Scientific Computing and Data Management (10 papers), Advanced Computational Techniques and Applications (8 papers) and Distributed and Parallel Computing Systems (7 papers). Sara Graves collaborates with scholars based in United States and Canada. Sara Graves's co-authors include Rahul Ramachandran, John Rushing, Thomas H. Hinke, Heggere S. Ranganath, U. S. Nair, Beth Plale, Hong Lin, Xiang Li, V. Chandrasekar and İbrahim Demir and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Sara Graves i

Fields of papers citing papers by Sara Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Graves

Since Specialization
Citations

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