Daniel Power

66 papers and 3.6k indexed citations i.

About

Daniel Power is a scholar working on Management Information Systems, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Daniel Power has authored 66 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Information Systems, 13 papers in Management Science and Operations Research and 9 papers in Information Systems. Recurrent topics in Daniel Power’s work include Big Data and Business Intelligence (17 papers), Data Quality and Management (7 papers) and Forensic and Genetic Research (5 papers). Daniel Power is often cited by papers focused on Big Data and Business Intelligence (17 papers), Data Quality and Management (7 papers) and Forensic and Genetic Research (5 papers). Daniel Power collaborates with scholars based in United States, Australia and United Kingdom. Daniel Power's co-authors include George W. Huber, Ramesh Sharda, J. P. Shim, Merrill Warkentin, Christer Carlsson, James F. Courtney, Ramon J. Aldag, Ciara Heavin, Gloria Phillips‐Wren and Daewon Sun and has published in prestigious journals such as Academy of Management Review, Strategic Management Journal and MIS Quarterly.

In The Last Decade

Co-authorship network of co-authors of Daniel Power i

Fields of papers citing papers by Daniel Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Power

Since Specialization
Citations

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