Seev Neumann

38 papers and 753 indexed citations i.

About

Seev Neumann is a scholar working on Management Information Systems, Demography and Economics and Econometrics. According to data from OpenAlex, Seev Neumann has authored 38 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Information Systems, 7 papers in Demography and 7 papers in Economics and Econometrics. Recurrent topics in Seev Neumann’s work include Information Technology Governance and Strategy (10 papers), Insurance and Financial Risk Management (7 papers) and Insurance, Mortality, Demography, Risk Management (7 papers). Seev Neumann is often cited by papers focused on Information Technology Governance and Strategy (10 papers), Insurance and Financial Risk Management (7 papers) and Insurance, Mortality, Demography, Risk Management (7 papers). Seev Neumann collaborates with scholars based in Israel and United States. Seev Neumann's co-authors include Lior Fink, Niv Ahituv, Moshe Zviran, Eli Segev, Arik Ragowsky, Chanan Glezer, Robert I. Mehr, Charles S. Tapiero, Zvi Adar and Nitza Geri and has published in prestigious journals such as MIS Quarterly, Communications of the ACM and Information & Management.

In The Last Decade

Co-authorship network of co-authors of Seev Neumann i

Fields of papers citing papers by Seev Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seev Neumann

Since Specialization
Citations

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