Nira Herrmann

29 papers and 528 indexed citations i.

About

Nira Herrmann is a scholar working on Statistics and Probability, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Nira Herrmann has authored 29 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Computer Science Applications and 5 papers in Artificial Intelligence. Recurrent topics in Nira Herrmann’s work include Teaching and Learning Programming (6 papers), Statistical Methods in Clinical Trials (5 papers) and Distributed and Parallel Computing Systems (3 papers). Nira Herrmann is often cited by papers focused on Teaching and Learning Programming (6 papers), Statistical Methods in Clinical Trials (5 papers) and Distributed and Parallel Computing Systems (3 papers). Nira Herrmann collaborates with scholars based in United States. Nira Herrmann's co-authors include Susan Barker, William Freedman, Howard J. Hillstrom, Rebecca L. Craik, Lawrence T. Glickman, Linda M. Domanski, Peter M. Schantz, Charles J. Mode, Frank W. Bowen and Rachel Porat and has published in prestigious journals such as PEDIATRICS, American Journal of Epidemiology and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Nira Herrmann i

Fields of papers citing papers by Nira Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nira Herrmann

Since Specialization
Citations

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