Jim Lecinski
About
In The Last Decade
Jim Lecinski
3 papers receiving 355 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Sociology and Political Science 175
- Artificial Intelligence 165
- Marketing 120
- Information Systems and Management 71
- Management Information Systems 66
Countries citing papers authored by Jim Lecinski
This map shows the geographic impact of Jim Lecinski'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 Jim Lecinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Lecinski more than expected).
Fields of papers citing papers by Jim Lecinski
This network shows the impact of papers produced by Jim Lecinski. 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 Jim Lecinski. The network helps show where Jim Lecinski may publish in the future.
Co-authorship network of co-authors of Jim Lecinski
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Lecinski. A scholar is included among the top collaborators of Jim Lecinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim Lecinski. Jim Lecinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | Understanding the Role of Artificial Intelligence in Personalized Engagement Marketing breakdown → | 381 |
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.