Scotland Leman

1.7k total citations
52 papers, 1.2k citations indexed

About

Scotland Leman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Scotland Leman has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Plant Science. Recurrent topics in Scotland Leman's work include Data Visualization and Analytics (13 papers), Data Analysis with R (9 papers) and Plant-Microbe Interactions and Immunity (5 papers). Scotland Leman is often cited by papers focused on Data Visualization and Analytics (13 papers), Data Analysis with R (9 papers) and Plant-Microbe Interactions and Immunity (5 papers). Scotland Leman collaborates with scholars based in United States, France and Brazil. Scotland Leman's co-authors include Leanna House, Chris North, Boris A. Vinatzer, Alex Endert, Rongman Cai, Christopher R. Clarke, Chao Han, Shuangchun Yan, John Wenskovitch and Nalvo F. Almeida and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Scotland Leman

47 papers receiving 1.1k citations

Peers

Scotland Leman
Comparison fields: 5 of 116
  • Plant Science 536
  • Computer Vision and Pattern Recognition 346
  • Artificial Intelligence 245
  • Molecular Biology 146
  • Cell Biology 112
Replace Mingzhou Song with:
Mingzhou Song United States
Marc Strickert Germany
Alexis Joly France
D. Ratcliff Australia
Jessie Kennedy United Kingdom
Jónathan Heras Spain
Haiyan Zhang China
Rashid Mehmood China
Gabriel Valiente Spain
Mingzhou Song United States View profile →
Citations per field, relative to Scotland Leman
Scotland Leman · 1×
Citations per year, relative to Scotland Leman
Scotland Leman · 1×

Countries citing papers authored by Scotland Leman

Since Specialization
Citations

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

Fields of papers citing papers by Scotland Leman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scotland Leman

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2
Bringing interactive visual analytics to the classroom for developing EDA skills
4
3 19
4 1
5 0
6 3
7 11
8
A Time Varying Parameter State-Space Model for Analyzing Money Supply-Economic Growth Nexus
3
9 7
10 5
11 30
12 28
13 33
14 14
15 22
16 35
17 147
18 28
19 1
20 13

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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2026