Paul Byrnes

875 citations
7 papers · 478 indexed · 1 hit paper · h-index 5
Topics
Big Data and Business Intelligence (3 papers)Imbalanced Data Classification Techniques (2 papers)Anomaly Detection Techniques and Applications (2 papers)

In The Last Decade

Paul Byrnes

7 papers receiving 426 citations

Hit Papers

How Big Data Will Change Accounting20152026201820222015100200300

Peers

Paul Byrnes
Comparison fields: 5 of 59
  • Management Information Systems 269
  • Accounting 180
  • Management Science and Operations Research 106
  • Information Systems 99
  • Strategy and Management 70
Replace James Hodson with:
James Hodson United States
Gary P. Schneider United States
J. Donald Warren United States
Najoua Elommal France
Mohammed Muneerali Thottoli Oman
Alessandro Merendino United Kingdom
Danielle R. Lombardi United States
Amer Qasim United Arab Emirates
Roman Chychyla United States
Sebahattin Demirkan United States
Paul Byrnes relative to James Hodson United States James Hodson's profile →
Citations per field
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James Hodson · 1×
Citations per year

Countries citing papers authored by Paul Byrnes

Since Specialization
Citations

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

Fields of papers citing papers by Paul Byrnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Byrnes

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Byrnes. A scholar is included among the top collaborators of Paul Byrnes 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 Paul Byrnes. Paul Byrnes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 23
2 1
3 12
4 1
5 15
6
How Big Data Will Change Accountingbreakdown →
369
7 57

About Paul Byrnes

Paul Byrnes is a scholar working on Business and International Management, Management Information Systems and Computer Science Applications, having authored 7 papers that have together received 478 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (3 papers), Imbalanced Data Classification Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Management Information Systems (269 citations), Accounting (180 citations) and Management Science and Operations Research (106 citations). Paul Byrnes has collaborated with scholars based in United States, United Kingdom and Kuwait. Frequent co-authors include J. Donald Warren, Kevin Moffitt, Gary P. Schneider, Elizabeth A. Payne, Diane J. Janvrin, Mary B. Curtis, Thomas E. Nelson, Miklos A. Vasarhelyi, Jun Dai and Qi Liu. Their work appears in journals such as Journal of Small Business Management, Accounting Horizons and Journal of Information Systems.

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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