Lalana Kagal

50 papers and 1.8k indexed citations i.

About

Lalana Kagal is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Lalana Kagal has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 26 papers in Sociology and Political Science and 16 papers in Information Systems. Recurrent topics in Lalana Kagal’s work include Access Control and Trust (23 papers), Privacy-Preserving Technologies in Data (14 papers) and QoS-Aware Web Services Composition and Semantic Matching (8 papers). Lalana Kagal is often cited by papers focused on Access Control and Trust (23 papers), Privacy-Preserving Technologies in Data (14 papers) and QoS-Aware Web Services Composition and Semantic Matching (8 papers). Lalana Kagal collaborates with scholars based in United States, United Kingdom and Switzerland. Lalana Kagal's co-authors include Tim Finin, Leilani H. Gilpin, Ayesha Bajwa, David Bau, Michael A. Specter, Ben Z. Yuan, Anupam Joshi, Tim Berners‐Lee, Filip Perich and Dan Connolly and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Computer and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Lalana Kagal i

Fields of papers citing papers by Lalana Kagal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lalana Kagal

Since Specialization
Citations

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