Mark J. Nigrini

31 total papers · 1.2k total citations
25 papers, 832 citations indexed

About

Mark J. Nigrini is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mark J. Nigrini has authored 25 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Mark J. Nigrini's work include Benford’s Law and Fraud Detection (15 papers), Digital Media Forensic Detection (6 papers) and Auditing, Earnings Management, Governance (4 papers). Mark J. Nigrini is often cited by papers focused on Benford’s Law and Fraud Detection (15 papers), Digital Media Forensic Detection (6 papers) and Auditing, Earnings Management, Governance (4 papers). Mark J. Nigrini collaborates with scholars based in United States, Belgium and Canada. Mark J. Nigrini's co-authors include Steven J. Miller, John P. Roberts, Jennifer L. Dodge, Joseph T. Wells and Mariya L. Samoylova and has published in prestigious journals such as Hepatology, Auditing A Journal of Practice & Theory and Managerial Auditing Journal.

In The Last Decade

Mark J. Nigrini

25 papers receiving 739 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark J. Nigrini 612 247 247 227 127 25 832
Cindy Durtschi 263 0.4× 105 0.4× 732 3.0× 80 0.4× 311 2.4× 18 1.0k
Carl Pacini 269 0.4× 155 0.6× 399 1.6× 83 0.4× 94 0.7× 54 1.0k
Kenneth O. Cogger 75 0.1× 387 1.6× 411 1.7× 17 0.1× 71 0.6× 25 833
D. F. Nicholls 357 0.6× 100 0.4× 97 0.4× 20 0.1× 427 3.4× 36 1.0k
Daniel Teichroew 104 0.2× 115 0.5× 48 0.2× 10 0.0× 179 1.4× 42 915
James D. Broffitt 494 0.8× 163 0.7× 31 0.1× 24 0.1× 277 2.2× 22 1.1k
Karl Mosler 503 0.8× 160 0.6× 7 0.0× 48 0.2× 98 0.8× 61 997
Raja P. Velu 287 0.5× 94 0.4× 13 0.1× 50 0.2× 119 0.9× 36 805
Hans Schneeweiß 275 0.4× 92 0.4× 18 0.1× 19 0.1× 47 0.4× 63 719
Stefan Weber 81 0.1× 24 0.1× 115 0.5× 58 0.3× 556 4.4× 44 1.0k

Countries citing papers authored by Mark J. Nigrini

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Nigrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Nigrini. 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 Mark J. Nigrini. The network helps show where Mark J. Nigrini may publish in the future.

Co-authorship network of co-authors of Mark J. Nigrini

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026