Mark Lokanan

949 citations
49 papers · 529 · h-index 12

Impact in

Papers in

    • Crime, Illicit Activities, and Governance 22
    • Corruption and Economic Development 12
    • Crime Patterns and Interventions 6
    • Auditing, Earnings Management, Governance 9

Mark Lokanan

47 papers receiving 487 citations

Peers

Mark Lokanan
Comparison fields: 5 of 59
  • Accounting 187
  • Information Systems and Management 49
  • Information Systems 123
  • Management Information Systems 44
  • Sociology and Political Science 212
Replace Mingyue Zhang with:
Mingyue Zhang China
Jackie Rees Ulmer United States
Joseph T. Wells United States
Utkarsh Goel India
Mary B. Burns United States
Egi Arvian Firmansyah Indonesia
Ruibin Geng China
Lawrence J. Trautman United States
Martha M. Eining United States
Anjum Razzaque Bahrain
Mark Lokanan relative to Mingyue Zhang China Mingyue Zhang's profile →
Citations per field
00.5×3.6×
Mingyue Zhang · 1×
Citations per year

Countries citing papers authored by Mark Lokanan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lokanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Mark Lokanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Lokanan Line = papers co-authored together Mark Lokanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 201949
3 201733
4 202228
5 202227
6 201926
7 201424
8 202119
9 201919
10 201418
11 201815
12 201411
13 202311
14 201511
15 20239
16 20249
17 20178
18 20148
19 20197
20 20207

About Mark Lokanan

Mark Lokanan is a scholar working on Sociology and Political Science, Accounting, Artificial Intelligence, Economics and Econometrics and Strategy and Management, having authored 49 papers that have together received 529 indexed citations. Recurring topics across this work include Crime, Illicit Activities, and Governance (22 papers), Corruption and Economic Development (12 papers), Imbalanced Data Classification Techniques (9 papers), Auditing, Earnings Management, Governance (9 papers), Law, Economics, and Judicial Systems (8 papers), Regulation and Compliance Studies (8 papers), Crime Patterns and Interventions (6 papers) and Cybercrime and Law Enforcement Studies (6 papers). The work is most often cited by research in Accounting (187 citations), Information Systems and Management (49 citations), Information Systems (123 citations), Management Information Systems (44 citations) and Sociology and Political Science (212 citations). Mark Lokanan has collaborated with scholars based in Canada, United Kingdom and Vietnam. Frequent co-authors include Vincent Tran. Their work appears in journals such as International Journal of Public Administration, Accounting Forum, Journal of Accounting Literature, Contemporary Justice Review and Frontiers in Big Data.

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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