Ira J. Haimowitz

11 papers and 154 indexed citations i.

About

Ira J. Haimowitz is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Ira J. Haimowitz has authored 11 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Ira J. Haimowitz’s work include AI-based Problem Solving and Planning (5 papers), Time Series Analysis and Forecasting (3 papers) and Data Mining Algorithms and Applications (3 papers). Ira J. Haimowitz is often cited by papers focused on AI-based Problem Solving and Planning (5 papers), Time Series Analysis and Forecasting (3 papers) and Data Mining Algorithms and Applications (3 papers). Ira J. Haimowitz collaborates with scholars based in United States. Ira J. Haimowitz's co-authors include Isaac S. Kohane, Phillip Le, Tom Fawcett, Foster Provost, Salvatore J. Stolfo, Henry G. Schwarz, Özden Gür Ali, A.Y. Ozge and R. M. Mattheyses and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, Artificial Intelligence in Medicine and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Ira J. Haimowitz i

Fields of papers citing papers by Ira J. Haimowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ira J. Haimowitz. 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 Ira J. Haimowitz. The network helps show where Ira J. Haimowitz may publish in the future.

Countries citing papers authored by Ira J. Haimowitz

Since Specialization
Citations

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