Mark Liptrott

430 total citations
14 papers, 276 citations indexed

About

Mark Liptrott is a scholar working on Communication, Political Science and International Relations and Artificial Intelligence. According to data from OpenAlex, Mark Liptrott has authored 14 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Communication, 5 papers in Political Science and International Relations and 5 papers in Artificial Intelligence. Recurrent topics in Mark Liptrott's work include Social Media and Politics (6 papers), E-Government and Public Services (5 papers) and Complex Network Analysis Techniques (3 papers). Mark Liptrott is often cited by papers focused on Social Media and Politics (6 papers), E-Government and Public Services (5 papers) and Complex Network Analysis Techniques (3 papers). Mark Liptrott collaborates with scholars based in United Kingdom and China. Mark Liptrott's co-authors include Ioannis Korkontzelos, Xiaolong Xu, Marcello Trovati, Nik Bessis, Hao Yuan, Jianquan Cheng, Huaizhong Zhang, Yongping Li and Nonso Nnamoko and has published in prestigious journals such as Neurocomputing, Soft Computing and SN Computer Science.

In The Last Decade

Mark Liptrott

13 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Liptrott United Kingdom 6 135 83 49 41 37 14 276
Levente Kocsis Hungary 9 218 1.6× 81 1.0× 67 1.4× 40 1.0× 9 0.2× 24 373
Yong-Feng Ge China 10 230 1.7× 43 0.5× 41 0.8× 34 0.8× 27 0.7× 29 338
Mehdi Naseriparsa Australia 8 266 2.0× 76 0.9× 29 0.6× 39 1.0× 17 0.5× 13 413
Guangzhou Zeng China 7 110 0.8× 41 0.5× 42 0.9× 32 0.8× 72 1.9× 42 254
Marco Luca Sbodio Ireland 11 154 1.1× 112 1.3× 68 1.4× 82 2.0× 7 0.2× 42 414
Xibin Wang China 10 99 0.7× 95 1.1× 39 0.8× 60 1.5× 11 0.3× 29 281
Ferdinando Fioretto United States 12 220 1.6× 34 0.4× 169 3.4× 21 0.5× 38 1.0× 49 484
Kyoungsoo Bok South Korea 10 88 0.7× 144 1.7× 177 3.6× 54 1.3× 13 0.4× 94 344
Fanqi Meng China 6 150 1.1× 92 1.1× 37 0.8× 14 0.3× 15 0.4× 30 309

Countries citing papers authored by Mark Liptrott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Liptrott

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

All Works

14 of 14 papers shown
2.
Liptrott, Mark, et al.. (2021). A multilevel clustering technique for community detection. Neurocomputing. 441. 64–78. 15 indexed citations
3.
Liptrott, Mark, et al.. (2019). A deep semantic search method for random tweets. Edge Hill University Research Information Repository (Edge Hill University). 13. 100046–100046. 3 indexed citations
4.
Liptrott, Mark, et al.. (2019). Simmelian Ties on Twitter: Empirical Analysis and Prediction. 2. 118–125. 1 indexed citations
5.
Zhang, Huaizhong, Mark Liptrott, Nik Bessis, & Jianquan Cheng. (2019). Real-Time Traffic Analysis using Deep Learning Techniques and UAV based Video. Edge Hill University Research Information Repository (Edge Hill University). 1–5. 30 indexed citations
6.
Xu, Xiaolong, Yongping Li, Mark Liptrott, & Nik Bessis. (2018). NDFMF: An Author Name Disambiguation Algorithm Based on the Fusion of Multiple Features. Edge Hill University Research Information Repository (Edge Hill University). 187–190. 2 indexed citations
7.
Liptrott, Mark, et al.. (2018). Detection of spam-posting accounts on Twitter. Neurocomputing. 315. 496–511. 99 indexed citations
8.
Xu, Xiaolong, Hao Yuan, Mark Liptrott, & Marcello Trovati. (2017). Two phase heuristic algorithm for the multiple-travelling salesman problem. Soft Computing. 22(19). 6567–6581. 43 indexed citations
9.
Xu, Xiaolong, et al.. (2016). CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems. Soft Computing. 22(3). 783–795. 73 indexed citations
10.
Liptrott, Mark. (2016). Tackling the Digital Divide. Edge Hill University Research Information Repository (Edge Hill University). 3(1). 70–84. 1 indexed citations
11.
Liptrott, Mark. (2012). E-Democracy Postponed: Public Policy Design the Key to UK E-Voting. Edge Hill University Research Information Repository (Edge Hill University). 1 indexed citations
12.
Liptrott, Mark. (2008). A policy model for the digital age: a revision of the UK public policy model. Edge Hill University Research Information Repository (Edge Hill University). 1 indexed citations
13.
Liptrott, Mark. (2007). e-Voting: Same Pilots, Same Problems, Different Agendas. Edge Hill University Research Information Repository (Edge Hill University). 5(2). 205–212. 2 indexed citations
14.
Liptrott, Mark. (2006). e-Voting in the UK: A Work in Progress. Edge Hill University Research Information Repository (Edge Hill University). 4(2). 71–78. 5 indexed citations

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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