Mark Shackleton
Impact in
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
-
- IoT and Edge/Fog Computing
Papers in
-
- Distributed and Parallel Computing Systems 4
- Distributed systems and fault tolerance 3
- Network Security and Intrusion Detection 3
- Peer-to-Peer Network Technologies 2
- IoT and Edge/Fog Computing 2
-
- Evolutionary Algorithms and Applications 5
- Co-authors
- Marc Ebner (3 shared papers)Rob Shipman (4 shared papers)Fabrice Saffre (6 shared papers)William J. Welsh (1 shared paper)Jörg Albert (1 shared paper)José Halloy (2 shared papers)Jean‐Louis Deneubourg (1 shared paper)Pushpinder Kaur Chouhan (2 shared papers)
- Journals
- Future Generation Computer Systems (1 paper)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (1 paper)Artificial Life (1 paper)Complexity (1 paper)The Computer Journal (1 paper)
- Partner nations
- United KingdomGermanyBelgium
In The Last Decade
Mark Shackleton
20 papers receiving 355 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 194
- Computer Networks and Communications 120
- Information Systems 78
- Signal Processing 37
- Genetics 77
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-authors
The 21 scholars most cited alongside Mark Shackleton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 68 | |
| 2 | 2018 | 54 | |
| 3 | 2002 | 45 | |
| 4 | 2002 | 42 | |
| 5 | 2008 | 36 | |
| 6 | 2014 | 19 | |
| 7 | 2004 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2003 | 17 | |
| 10 | 2002 | 15 | |
| 11 | 2018 | 11 | |
| 12 | 2002 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2006 | 5 | |
| 16 | "Embryo": an autonomic co-operative service management framework | 2008 | 3 |
| 17 | 2005 | 3 | |
| 18 | 2000 | 3 | |
| 19 | Learned deformable templates for object recognition | 1994 | 2 |
| 20 | 2003 | 2 |
About Mark Shackleton
Mark Shackleton is a scholar working on Computer Networks and Communications, Artificial Intelligence, Genetics, Information Systems and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Evolution and Genetic Dynamics (5 papers), Distributed and Parallel Computing Systems (4 papers), Distributed systems and fault tolerance (3 papers), Network Security and Intrusion Detection (3 papers), Face and Expression Recognition (2 papers), Peer-to-Peer Network Technologies (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Artificial Intelligence (194 citations), Computer Networks and Communications (120 citations), Information Systems (78 citations), Signal Processing (37 citations) and Genetics (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, William J. Welsh, Jörg Albert, José Halloy, Jean‐Louis Deneubourg, Pushpinder Kaur Chouhan, Sally McClean and Ali Sajjad. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Artificial Life, Complexity 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.