Maytal Saar‐Tsechansky

42 papers and 2.3k indexed citations i.

About

Maytal Saar‐Tsechansky is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Maytal Saar‐Tsechansky has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 6 papers in Computer Science Applications. Recurrent topics in Maytal Saar‐Tsechansky’s work include Machine Learning and Algorithms (14 papers), Machine Learning and Data Classification (11 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Maytal Saar‐Tsechansky is often cited by papers focused on Machine Learning and Algorithms (14 papers), Machine Learning and Data Classification (11 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Maytal Saar‐Tsechansky collaborates with scholars based in United States, Israel and Germany. Maytal Saar‐Tsechansky's co-authors include Paul C. Tetlock, Sofus A. Macskassy, Foster Provost, Prem Melville, John Collins, Wolfgang Ketter, Markus Peters, Stefan Feuerriegel, Peter Stone and Raymond J. Mooney and has published in prestigious journals such as The Journal of Finance, Management Science and MIS Quarterly.

In The Last Decade

Co-authorship network of co-authors of Maytal Saar‐Tsechansky i

Fields of papers citing papers by Maytal Saar‐Tsechansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maytal Saar‐Tsechansky. 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 Maytal Saar‐Tsechansky. The network helps show where Maytal Saar‐Tsechansky may publish in the future.

Countries citing papers authored by Maytal Saar‐Tsechansky

Since Specialization
Citations

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