Christian Posse

About

Christian Posse is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Christian Posse has authored 25 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Christian Posse’s work include Data Visualization and Analytics (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Advanced Statistical Methods and Models (3 papers). Christian Posse is often cited by papers focused on Data Visualization and Analytics (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Advanced Statistical Methods and Models (3 papers). Christian Posse collaborates with scholars based in United States and Switzerland. Christian Posse's co-authors include David P. Chassin, Nandini Raghavan, Kevin K. Anderson, Jean Diebolt, William DuMouchel, David Madigan, Greg Ridgeway, Martha Nason, Bobbie‐Jo Webb‐Robertson and Anuj Shah and has published in prestigious journals such as Sensors, Physica A Statistical Mechanics and its Applications and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Co-authorship network of co-authors of Christian Posse i

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Fields of papers citing papers by Christian Posse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Posse

Since Specialization

Citations

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