This map shows the geographic impact of Mark Lee'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 Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Lee more than expected).
This network shows the impact of papers produced by Mark Lee. 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 Lee. The network helps show where Mark Lee may publish in the future.
Co-authorship network of co-authors of Mark Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Lee.
A scholar is included among the top collaborators of Mark Lee 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 Lee. Mark Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Madabushi, Harish Tayyar, Mark Lee, & John A. Barnden. (2018). Integrating Question Classification and Deep Learning for improved Answer Selection. International Conference on Computational Linguistics. 3283–3294.22 indexed citations
8.
Madabushi, Harish Tayyar & Mark Lee. (2016). High Accuracy Rule-based Question Classification using Question Syntax and Semantics. International Conference on Computational Linguistics. 1220–1230.22 indexed citations
9.
Alotaibi, Fahd S. & Mark Lee. (2014). A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition. University of Birmingham Research Portal (University of Birmingham). 984–995.10 indexed citations
Alotaibi, Fahd S. & Mark Lee. (2013). Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia. University of Birmingham Research Portal (University of Birmingham). 392–400.7 indexed citations
12.
Lee, Mark, Barney Dalgarno, & Helen Farley. (2012). Virtual worlds in tertiary education: An Australasian perspective. Australasian Journal of Educational Technology. 28.3 indexed citations
13.
Alotaibi, Fahd S. & Mark Lee. (2012). Mapping Arabic Wikipedia into the Named Entities Taxonomy. International Conference on Computational Linguistics. 43–52.12 indexed citations
14.
Bajwa, Imran Sarwar, et al.. (2012). Addressing Semantic Ambiguities in Natural Language Constraints. University of Birmingham Research Portal (University of Birmingham).1 indexed citations
15.
Lee, Mark, et al.. (2012). Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain. University of Birmingham Research Portal (University of Birmingham). 79–83.7 indexed citations
16.
Bajwa, Imran Sarwar, Behzad Bordbar, Mark Lee, & Kyriakos Anastasakis. (2012). NL2 Alloy: A Tool to Generate Alloy from NL Constraints. Journal of Digital Information Management. 10(6). 365–372.6 indexed citations
17.
Bajwa, Imran Sarwar, Mark Lee, & Behzad Bordbar. (2011). SBVR Business Rules Generation from Natural Language Specification. University of Birmingham Research Portal (University of Birmingham).49 indexed citations
18.
Lee, Mark, et al.. (2004). The Trellis Security Infrastructure: A Layered Approach to Overlay Metacomputers .. 109–117.5 indexed citations
19.
Lee, Mark, et al.. (1999). Longshore Drift Evaluation on a Groyned Shingle Beach Using Field Data. Coastal Sediments. 894–906.1 indexed citations
20.
Chadwick, Andrew, et al.. (1997). Coastal Sediment Transport on Shingle Beaches. Coastal dynamics. 38–47.4 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.