Debra A. Lelewer

About

Debra A. Lelewer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Debra A. Lelewer has authored 3 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Debra A. Lelewer’s work include Algorithms and Data Compression (2 papers), Error Correcting Code Techniques (2 papers) and Teaching and Learning Programming (1 paper). Debra A. Lelewer is often cited by papers focused on Algorithms and Data Compression (2 papers), Error Correcting Code Techniques (2 papers) and Teaching and Learning Programming (1 paper). Debra A. Lelewer collaborates with scholars based in United States. Debra A. Lelewer's co-authors include Daniel S. Hirschberg and has published in prestigious journals such as Communications of the ACM, ACM Computing Surveys and ACM SIGCSE Bulletin.

In The Last Decade

Co-authorship network of co-authors of Debra A. Lelewer i

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Fields of papers citing papers by Debra A. Lelewer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra A. Lelewer. 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 Debra A. Lelewer. The network helps show where Debra A. Lelewer may publish in the future.

Countries citing papers authored by Debra A. Lelewer

Since Specialization

Citations

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