Mark Liptrott
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Sentiment Analysis and Opinion Mining
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
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- Social Media and Politics 7
-
- E-Government and Public Services 5
- Co-authors
- Ioannis Korkontzelos (7 shared papers)Isa Inuwa-Dutse (5 shared papers)Xiaolong Xu (3 shared papers)Marcello Trovati (2 shared papers)Nik Bessis (3 shared papers)Hao Yuan (1 shared paper)Huaizhong Zhang (1 shared paper)Jianquan Cheng (1 shared paper)
- Journals
- Soft Computing (2 papers)Neurocomputing (2 papers)Data in Brief (1 paper)Lecture notes in computer science (1 paper)SN Computer Science (1 paper)
- Partner nations
- United KingdomChina
In The Last Decade
Mark Liptrott
17 papers receiving 311 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 159
- Information Systems 105
- Industrial and Manufacturing Engineering 39
- Computer Networks and Communications 57
- Signal Processing 26
Countries citing papers authored by Mark Liptrott
This map shows the geographic impact of Mark Liptrott'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 Liptrott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Liptrott more than expected).
Fields of papers citing papers by Mark Liptrott
This network shows the impact of papers produced by Mark Liptrott. 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 Liptrott. The network helps show where Mark Liptrott may publish in the future.
Co-authors
The 10 scholars most cited alongside Mark Liptrott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2016 | 77 | |
| 3 | 2017 | 47 | |
| 4 | 2019 | 34 | |
| 5 | 2021 | 17 | |
| 6 | e-Voting in the UK: A Work in Progress | 2006 | 8 |
| 7 | 2022 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2007 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2012 | 2 | |
| 14 | 2025 | 1 | |
| 15 | A policy model for the digital age: a revision of the UK public policy model | 2008 | 1 |
| 16 | 2016 | 1 | |
| 17 | 2019 | 1 |
About Mark Liptrott
Mark Liptrott is a scholar working on Communication, Political Science and International Relations, Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, having authored 17 papers that have together received 325 indexed citations. Recurring topics across this work include Social Media and Politics (7 papers), E-Government and Public Services (5 papers), Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (3 papers), Biometric Identification and Security (2 papers), User Authentication and Security Systems (2 papers), Spam and Phishing Detection (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (159 citations), Information Systems (105 citations), Industrial and Manufacturing Engineering (39 citations), Computer Networks and Communications (57 citations) and Signal Processing (26 citations). Mark Liptrott has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Ioannis Korkontzelos, Isa Inuwa-Dutse, Xiaolong Xu, Marcello Trovati, Nik Bessis, Hao Yuan, Huaizhong Zhang, Jianquan Cheng, Nonso Nnamoko and Yongping Li. Their work appears in journals such as Soft Computing, Neurocomputing, Data in Brief, Lecture notes in computer science and SN 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.