Sam M. Werner

About

Sam M. Werner is a scholar working on Information Systems, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Sam M. Werner has authored 6 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 2 papers in Economics and Econometrics and 1 paper in Artificial Intelligence. Recurrent topics in Sam M. Werner’s work include Blockchain Technology Applications and Security (4 papers), Complex Systems and Time Series Analysis (2 papers) and Cryptography and Data Security (1 paper). Sam M. Werner is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Complex Systems and Time Series Analysis (2 papers) and Cryptography and Data Security (1 paper). Sam M. Werner collaborates with scholars based in United Kingdom, United States and Italy. Sam M. Werner's co-authors include William J. Knottenbelt, Alexei Zamyatin, Iain Stewart, Dragos Ilie, Daniel Pérez, Katinka Wolter, Andrea Bracciali, Catherine Mulligan, Peter G. Harrison and Massimiliano Sala and has published in prestigious journals such as Lecture notes in computer science, Royal Society Open Science and Spiral (Imperial College London).

In The Last Decade

Co-authorship network of co-authors of Sam M. Werner i

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Fields of papers citing papers by Sam M. Werner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam M. Werner. 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 Sam M. Werner. The network helps show where Sam M. Werner may publish in the future.

Countries citing papers authored by Sam M. Werner

Since Specialization

Citations

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