Martin Graham
Impact in
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- Data Visualization and Analytics
- Ecological Modeling top 10%
Papers in
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- Data Visualization and Analytics 19
-
- Advanced Text Analysis Techniques 6
- Data Analysis with R 3
- Co-authors
- Howard Johnson (1 shared paper)Jessie Kennedy (26 shared papers)Lutz Fischer (2 shared papers)Juri Rappsilber (2 shared papers)Colin Combe (2 shared papers)Chris Hand (2 shared papers)Paul D. Shaw (1 shared paper)Iain Milne (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Ecological Informatics (2 papers)Information Visualization (2 papers)Taxon (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Martin Graham
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 288
- Ecological Modeling 50
- Hardware and Architecture 74
- Electrical and Electronic Engineering 560
- Signal Processing 72
Countries citing papers authored by Martin Graham
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
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-authors
The 25 scholars most cited alongside Martin Graham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-speed digital design: a handbook of black magic | 1993 | 386 |
| 2 | High Speed Signal Propagation: Advanced Black Magic | 2003 | 237 |
| 3 | 2019 | 142 | |
| 4 | 2009 | 98 | |
| 5 | 2014 | 54 | |
| 6 | 2004 | 51 | |
| 7 | 2024 | 34 | |
| 8 | 2000 | 33 | |
| 9 | 2007 | 27 | |
| 10 | 2000 | 22 | |
| 11 | 2002 | 21 | |
| 12 | 2005 | 12 | |
| 13 | 2002 | 10 | |
| 14 | 2012 | 9 | |
| 15 | 2002 | 8 | |
| 16 | 2007 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 1999 | 7 | |
| 20 | 2011 | 6 |
About Martin Graham
Martin Graham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Species Distribution and Climate Change (9 papers), Advanced Text Analysis Techniques (6 papers), Plant and animal studies (6 papers), Data Management and Algorithms (3 papers), Data Analysis with R (3 papers), Complex Network Analysis Techniques (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (288 citations), Ecological Modeling (50 citations), Hardware and Architecture (74 citations), Electrical and Electronic Engineering (560 citations) and Signal Processing (72 citations). Martin Graham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Howard Johnson, Jessie Kennedy, Lutz Fischer, Juri Rappsilber, Colin Combe, Chris Hand, Paul D. Shaw, Iain Milne, David Marshall and Sven H. Giese. Their work appears in journals such as BMC Bioinformatics, Ecological Informatics, Information Visualization, Taxon and IEEE Transactions on Visualization and Computer Graphics.
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.