Lama Nachman

26 papers and 267 indexed citations i.

About

Lama Nachman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Education. According to data from OpenAlex, Lama Nachman has authored 26 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Education. Recurrent topics in Lama Nachman’s work include Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Lama Nachman is often cited by papers focused on Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Lama Nachman collaborates with scholars based in United States, United Kingdom and Italy. Lama Nachman's co-authors include Jonathan Huang, Ralph Kling, Robert Adler, Saurav Sahay, Yunfeng Zhang, Ranganath Krishnan, Riccardo Fogliato, Prasanna Sattigeri, Omesh Tickoo and Q. Vera Liao and has published in prestigious journals such as IEEE Transactions on Computers, Educational Technology Research and Development and British Journal of Educational Technology.

In The Last Decade

Co-authorship network of co-authors of Lama Nachman i

Fields of papers citing papers by Lama Nachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lama Nachman

Since Specialization
Citations

This map shows the geographic impact of Lama Nachman'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 Lama Nachman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lama Nachman 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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2025