Linda Schamber

17 papers and 874 indexed citations i.

About

Linda Schamber is a scholar working on Information Systems, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Linda Schamber has authored 17 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Linda Schamber’s work include Information Retrieval and Search Behavior (3 papers), Advanced Text Analysis Techniques (3 papers) and scientometrics and bibliometrics research (2 papers). Linda Schamber is often cited by papers focused on Information Retrieval and Search Behavior (3 papers), Advanced Text Analysis Techniques (3 papers) and scientometrics and bibliometrics research (2 papers). Linda Schamber collaborates with scholars based in United States. Linda Schamber's co-authors include Michael B. Eisenberg, Gary Marchionini, Michael S. Nilan, Carol L. Barry, Judy Bateman, Amanda Spink and David Robins and has published in prestigious journals such as Information Processing & Management, Journal of Education for Library and Information Science and Journal of the American Society for Information Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Linda Schamber i

Fields of papers citing papers by Linda Schamber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda Schamber

Since Specialization
Citations

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