Martin P. Loeb

6.5k citations
60 papers · 4.3k indexed · 3 hit papers · h-index 27

Martin P. Loeb

56 papers receiving 3.8k citations

Hit Papers

Enterprise risk management and firm performance: A contin...4742002202620102018250500750

Peers

Martin P. Loeb
Comparison fields: 5 of 98
  • Accounting 1.2k
  • Information Systems 2.3k
  • Management Information Systems 543
  • Computer Networks and Communications 1.1k
  • Management Science and Operations Research 578
Replace Lawrence A. Gordon with:
Lawrence A. Gordon United States
Ronen Feldman Israel
Prabuddha De United States
Birendra K. Mishra United States
Martin Eling Switzerland
Rahul Telang United States
Miklos A. Vasarhelyi United States
David Martens Belgium
Srikant M. Datar United States
Huseyin Cavusoglu United States
Martin P. Loeb relative to Lawrence A. Gordon United States Lawrence A. Gordon's profile →
Citations per field
00.5×1.5×1.8×
Lawrence A. Gordon · 1×
Citations per year

Countries citing papers authored by Martin P. Loeb

Since Specialization
Citations

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

Fields of papers citing papers by Martin P. Loeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin P. Loeb. 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 Martin P. Loeb. The network helps show where Martin P. Loeb may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Martin P. Loeb, 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 Martin P. Loeb Line = papers co-authored together Martin P. Loeb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 201837
4 201554
5 201582
6 2011150
7 2010130
8 200637
9
Managing Cybersecurity Resources (The Mcgraw-Hill Homeland Security Series)
200510
10
The economics of information security investmentbreakdown →
2002815
11 19994
12 199715
13 19942
14 19926
15 199019
16 1979109
17 19779
18 197718
19 19743
20 19561

About Martin P. Loeb

Martin P. Loeb is a scholar working on Management Science and Operations Research, Management Information Systems and Information Systems, having authored 60 papers that have together received 4.3k indexed citations. Recurring topics across this work include Information and Cyber Security (27 papers), Auction Theory and Applications (16 papers), Network Security and Intrusion Detection (15 papers), Cybercrime and Law Enforcement Studies (14 papers), Auditing, Earnings Management, Governance (9 papers), Financial Reporting and Valuation Research (8 papers), Corporate Finance and Governance (6 papers) and Supply Chain and Inventory Management (6 papers). The work is most often cited by research in Accounting (1.2k citations), Information Systems (2.3k citations) and Management Information Systems (543 citations). Martin P. Loeb has collaborated with scholars based in United States, Taiwan and Spain. Frequent co-authors include Lawrence A. Gordon, Lei Zhou, Chih‐Yang Tseng, Theodore Groves, Katherine Campbell, Wesley A. Magat, Tashfeen Sohail, William Lucyshyn, Joseph Aharony and Chan‐Jane Lin. Their work appears in journals such as Management Science, Communications of the ACM and MIS Quarterly.

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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