Mark Shackleton
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Genetics
- Sociology and Political Science
- Co-authors
- Marc EbnerRob ShipmanFabrice SaffreJosé HalloyJörg AlbertWilliam J. WelshJean‐Louis DeneubourgPushpinder Kaur Chouhan
- Topics
- Evolutionary Algorithms and Applications (5 papers)Evolution and Genetic Dynamics (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)Future Generation Computer SystemsThe Computer Journal
- Partner nations
- United KingdomGermanyBelgium
In The Last Decade
Mark Shackleton
20 papers receiving 353 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 194
- Computer Networks and Communications 118
- Information Systems 77
- Genetics 77
- Sociology and Political Science 51
Countries citing papers authored by Mark Shackleton
This map shows the geographic impact of Mark Shackleton'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 Shackleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Shackleton more than expected).
Fields of papers citing papers by Mark Shackleton
This network shows the impact of papers produced by Mark Shackleton. 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 Shackleton. The network helps show where Mark Shackleton may publish in the future.
Co-authorship network of co-authors of Mark Shackleton
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Shackleton. A scholar is included among the top collaborators of Mark Shackleton 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 Shackleton. Mark Shackleton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 17 | |
| 4 | 53 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | "Embryo": an autonomic co-operative service management framework | 3 |
| 8 | 36 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 42 | |
| 15 | 9 | |
| 16 | 45 | |
| 17 | 15 | |
| 18 | 68 | |
| 19 | 3 | |
| 20 | Learned deformable templates for object recognition | 2 |
About Mark Shackleton
Mark Shackleton is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Evolution and Genetic Dynamics (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Artificial Intelligence (194 citations), Computer Networks and Communications (118 citations) and Information Systems (77 citations). Mark Shackleton has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Marc Ebner, Rob Shipman, Fabrice Saffre, José Halloy, Jörg Albert, William J. Welsh, Jean‐Louis Deneubourg, Pushpinder Kaur Chouhan, Chris Roadknight and Ali Sajjad. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Future Generation Computer Systems and The Computer Journal.
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.