Todd Kulesza

10 papers and 1.1k indexed citations i.

About

Todd Kulesza is a scholar working on Artificial Intelligence, Computer Science Applications and Software. According to data from OpenAlex, Todd Kulesza has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 5 papers in Software. Recurrent topics in Todd Kulesza’s work include Mobile Crowdsensing and Crowdsourcing (5 papers), Spreadsheets and End-User Computing (5 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Todd Kulesza is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (5 papers), Spreadsheets and End-User Computing (5 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Todd Kulesza collaborates with scholars based in United States, United Kingdom and France. Todd Kulesza's co-authors include Margaret Burnett, Simone Stumpf, Maya Çakmak, W. Bradley Knox, Saleema Amershi, Weng‐Keen Wong, Irwin Kwan, Sherry Yang, Amy J. Ko and R. Clyde White and has published in prestigious journals such as IEEE Transactions on Software Engineering, AI Magazine and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Todd Kulesza i

Fields of papers citing papers by Todd Kulesza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Todd Kulesza

Since Specialization
Citations

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