Alexander Ihler

93 papers and 2.4k indexed citations i.

About

Alexander Ihler is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alexander Ihler has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 29 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alexander Ihler’s work include Bayesian Modeling and Causal Inference (35 papers), Machine Learning and Algorithms (25 papers) and Error Correcting Code Techniques (8 papers). Alexander Ihler is often cited by papers focused on Bayesian Modeling and Causal Inference (35 papers), Machine Learning and Algorithms (25 papers) and Error Correcting Code Techniques (8 papers). Alexander Ihler collaborates with scholars based in United States, China and Ireland. Alexander Ihler's co-authors include Alan S. Willsky, Padhraic Smyth, John W. Fisher, Randolph L. Moses, John W. Fischer, Arthur Asuncion, Qiang Liu, Jian Peng, David Newman and Max Welling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Alexander Ihler i

Fields of papers citing papers by Alexander Ihler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexander Ihler

Since Specialization
Citations

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