Martin Graham

2.1k total citations
36 papers, 1.2k citations indexed

About

Martin Graham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecological Modeling. According to data from OpenAlex, Martin Graham has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 9 papers in Ecological Modeling. Recurrent topics in Martin Graham's work include Data Visualization and Analytics (19 papers), Species Distribution and Climate Change (9 papers) and Advanced Text Analysis Techniques (6 papers). Martin Graham is often cited by papers focused on Data Visualization and Analytics (19 papers), Species Distribution and Climate Change (9 papers) and Advanced Text Analysis Techniques (6 papers). Martin Graham collaborates with scholars based in United Kingdom, United States and Germany. Martin Graham's co-authors include Howard Johnson, Jessie Kennedy, Lutz Fischer, Juri Rappsilber, Colin Combe, Chris Hand, Paul D. Shaw, David Marshall, Iain Milne and Therese Dau and has published in prestigious journals such as Journal of Molecular Biology, The Science of The Total Environment and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Martin Graham

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Graham United Kingdom 12 560 288 195 160 92 36 1.2k
Clark C. Guest United States 21 812 1.4× 267 0.9× 143 0.7× 186 1.2× 100 1.1× 75 1.5k
Jan Westerholm Finland 16 341 0.6× 99 0.3× 76 0.4× 57 0.4× 48 0.5× 63 902
Edward B. Gamble United States 12 186 0.3× 126 0.4× 87 0.4× 155 1.0× 48 0.5× 19 1.2k
Pan Zhang China 21 235 0.4× 244 0.8× 152 0.8× 701 4.4× 30 0.3× 106 2.0k
Luis Gerardo de la Fraga Mexico 20 244 0.4× 389 1.4× 245 1.3× 271 1.7× 22 0.2× 80 1.3k
Mohammad A. Karim United States 24 817 1.5× 440 1.5× 72 0.4× 177 1.1× 120 1.3× 155 2.0k
Sean B. Andersson United States 22 302 0.5× 217 0.8× 83 0.4× 239 1.5× 98 1.1× 155 1.7k
Michael J. Mendenhall United States 18 310 0.6× 217 0.8× 125 0.6× 543 3.4× 170 1.8× 43 983
Eric Peeters Belgium 19 582 1.0× 148 0.5× 64 0.3× 317 2.0× 22 0.2× 49 1.2k
Yasuhiro Sato Japan 22 858 1.5× 54 0.2× 146 0.7× 198 1.2× 104 1.1× 129 2.3k

Countries citing papers authored by Martin Graham

Since Specialization
Citations

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

Fields of papers citing papers by Martin Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Graham. A scholar is included among the top collaborators of Martin Graham 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 Martin Graham. Martin Graham 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
1.
Combe, Colin, Martin Graham, Lars Kolbowski, Lutz Fischer, & Juri Rappsilber. (2024). xiVIEW: Visualisation of Crosslinking Mass Spectrometry Data. Journal of Molecular Biology. 436(17). 168656–168656. 34 indexed citations
2.
Graham, Martin, et al.. (2021). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. Edinburgh Napier Research Repository (Edinburgh Napier University). 47–57. 4 indexed citations
3.
Mendes, Marta, Lutz Fischer, Zhuo A. Chen, et al.. (2019). An integrated workflow for crosslinking mass spectrometry. Molecular Systems Biology. 15(9). e8994–e8994. 142 indexed citations
4.
Shaw, Paul D., Martin Graham, Jessie Kennedy, Iain Milne, & David Marshall. (2014). Helium: visualization of large scale plant pedigrees. BMC Bioinformatics. 15(1). 259–259. 54 indexed citations
5.
Hillman, Donald, et al.. (2013). Relationship of electric power quality to milk production of dairy herds — Field study with literature review. The Science of The Total Environment. 447. 500–514. 5 indexed citations
6.
Paterson, Trevor, Martin Graham, Jessie Kennedy, & Andy Law. (2012). VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees. BMC Bioinformatics. 13(S8). S5–S5. 9 indexed citations
7.
Graham, Martin, Jessie Kennedy, Trevor Paterson, & Andy Law. (2011). Visualising Errors in Animal Pedigree Genotype Data. Computer Graphics Forum. 30(3). 1011–1020. 5 indexed citations
8.
Graham, Martin, et al.. (2011). Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison. Research Output (Edinburgh Napier University). 53–58. 6 indexed citations
9.
Paterson, Trevor, Martin Graham, Jessie Kennedy, & Andy Law. (2011). Evaluating the VIPER pedigree visualisation: Detecting inheritance inconsistencies in genotyped pedigrees. Edinburgh Research Explorer. 119–126. 4 indexed citations
10.
Mahabal, A., S. G. Djorgovski, A. J. Drake, et al.. (2009). Towards the Automated Classification of Variable Objects and Transients. AAS. 213.
11.
Graham, Martin & Jessie Kennedy. (2009). A Survey of Multiple Tree Visualisation. Information Visualization. 9(4). 235–252. 98 indexed citations
12.
Donalek, C., A. Mahabal, S. G. Djorgovski, et al.. (2008). New Approaches to Object Classification in Synoptic Sky Surveys. AIP conference proceedings. 252–256. 4 indexed citations
13.
Graham, Martin & Jessie Kennedy. (2007). Exploring Multiple Trees through DAG Representations. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1294–1301. 27 indexed citations
14.
Graham, Martin & Jessie Kennedy. (2005). Extending Taxonomic Visualisation to Incorporate Synonymy and Structural Markers. Information Visualization. 4(3). 206–223. 12 indexed citations
15.
Hillman, Donald, et al.. (2003). Relationship of Electric Power Quality to Milk Production of Dairy Herds. 2003, Las Vegas, NV July 27-30, 2003. 5 indexed citations
16.
Graham, Martin, Mark Watson, & Jessie Kennedy. (2002). Novel visualisation techniques for working with multiple, overlapping classification hierarchies. Taxon. 51(2). 351–358. 10 indexed citations
17.
Graham, Martin & Jessie Kennedy. (2002). Combining linking and focusing techniques for a multiple hierarchy visualisation. Research Output (Edinburgh Napier University). 425–432. 21 indexed citations
18.
Graham, Martin, Mark Watson, & Jessie Kennedy. (2002). Novel Visualisation Techniques for Working with Multiple, Overlapping Classification Hierarchies. Taxon. 51(2). 351–351. 8 indexed citations
19.
Johnson, Howard & Martin Graham. (1993). High-speed digital design: a handbook of black magic. CERN Document Server (European Organization for Nuclear Research). 386 indexed citations
20.
Graham, Martin. (1976). Latent Components in the Electrocardiogram. IEEE Transactions on Biomedical Engineering. BME-23(3). 220–224. 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.

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