Mark Pollitt

853 citations
28 papers · 589 · h-index 11

Impact in

    • Advanced Malware Detection Techniques
    • Digital and Cyber Forensics
    • Cybercrime and Law Enforcement Studies
    • Information and Cyber Security

Papers in

Mark Pollitt

27 papers receiving 494 citations

Peers

Mark Pollitt
Comparison fields: 5 of 54
  • Signal Processing 330
  • Information Systems 511
  • Computer Vision and Pattern Recognition 205
  • Conservation 11
  • Artificial Intelligence 83
Replace David Gresty with:
David Gresty United Kingdom
Christopher Hargreaves United Kingdom
Francois Mouton South Africa
Rishabh Kaushal India
Bill Tsoumas Greece
Kanthashree Mysore Sathyendra United States
Daniel Gomes Portugal
Leo Iaquinta Italy
Jason Andress Australia
Derek Mohammed United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Pollitt

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pollitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Mark Pollitt, 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 Pollitt Line = papers co-authored together Mark Pollitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003110
2
Recovering and Examining Computer Forensic Evidence
200085
3 199878
4 200773
5 201060
6 200833
7 200826
8 201325
9 200615
10 200411
11
Law Enforcement and Digital Evidence
200511
12
Exploring Big Haystacks: Data Mining and Knowledge Management.
200610
13 200610
14 20077
15 20136
16
The Hermeneutics Of The Hard Drive: Using Narratology, Natural Language Processing, And Knowledge Management To Improve The Effectiveness Of The Digital Forensic Process
20134
17 20154
18 20083
19 20073
20 20083

About Mark Pollitt

Mark Pollitt is a scholar working on Information Systems, Signal Processing, Computer Vision and Pattern Recognition, Political Science and International Relations and Information Systems and Management, having authored 28 papers that have together received 589 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (24 papers), Advanced Malware Detection Techniques (13 papers), Digital Media Forensic Detection (10 papers), Cybercrime and Law Enforcement Studies (6 papers), Artificial Intelligence in Law (3 papers), Forensic and Genetic Research (1 paper), Diverse Specialized Academic Research (1 paper) and Jury Decision Making Processes (1 paper). The work is most often cited by research in Signal Processing (330 citations), Information Systems (511 citations), Computer Vision and Pattern Recognition (205 citations), Conservation (11 citations) and Artificial Intelligence (83 citations). Mark Pollitt has collaborated with scholars based in United States. Frequent co-authors include Lawrence A. Presley, Donald G. Marks, Peter Sommer, Alec Yasinsac, Robert F. Erbacher, Brian Hay, Sujeet Shenoi, Kara Nance, Ronald Dodge and Jan Novotný. Their work appears in journals such as IEEE Security & Privacy, Digital Investigation, IFIP advances in information and communication technology, Computer Fraud & Security and Lecture notes in computer science.

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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