Casey G. Cegielski

47 papers and 1.9k indexed citations i.

About

Casey G. Cegielski is a scholar working on Management Information Systems, Strategy and Management and Information Systems and Management. According to data from OpenAlex, Casey G. Cegielski has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Information Systems, 15 papers in Strategy and Management and 15 papers in Information Systems and Management. Recurrent topics in Casey G. Cegielski’s work include Big Data and Business Intelligence (12 papers), Technology Adoption and User Behaviour (12 papers) and Data Quality and Management (7 papers). Casey G. Cegielski is often cited by papers focused on Big Data and Business Intelligence (12 papers), Technology Adoption and User Behaviour (12 papers) and Data Quality and Management (7 papers). Casey G. Cegielski collaborates with scholars based in United States, China and New Zealand. Casey G. Cegielski's co-authors include Benjamin T. Hazen, Dianne J. Hall, Yun Wu, LeeAnn Kung, L. Allison Jones‐Farmer, Yichuan Wang, William Yu Chung Wang, Lin Jia, Shiwei Sun and Joe B. Hanna and has published in prestigious journals such as Communications of the ACM, Information & Management and Industrial Marketing Management.

In The Last Decade

Co-authorship network of co-authors of Casey G. Cegielski i

Fields of papers citing papers by Casey G. Cegielski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey G. Cegielski. 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 Casey G. Cegielski. The network helps show where Casey G. Cegielski may publish in the future.

Countries citing papers authored by Casey G. Cegielski

Since Specialization
Citations

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