Mark Shackleton

680 citations
24 papers · 495 · h-index 13

Impact in

Papers in

Mark Shackleton

23 papers receiving 454 citations

Peers

Mark Shackleton
Comparison fields: 5 of 61
  • Artificial Intelligence 268
  • Computer Networks and Communications 148
  • Genetics 105
  • Information Systems 88
  • Signal Processing 41
Replace Robert P. Gove with:
Robert P. Gove United States
not Cwi Netherlands
Riccardo Dondi Italy
Umberto Ferraro Petrillo Italy
Xi Qin He United States
Dominique Snyers France
Juan Luís Jiménez Laredo Spain
Zhicong Huang China
Sylvain Guérin France
Mark Shackleton relative to Robert P. Gove United States Robert P. Gove's profile →
Citations per field
00.5×2×2.8×
Robert P. Gove · 1×
Citations per year

Countries citing papers authored by Mark Shackleton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Mark Shackleton Line = papers co-authored together Mark Shackleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200180
2 201867
3 200257
4 200250
5 200838
6 200424
7 200023
8 201421
9 200320
10 201819
11 200217
12 201813
13 200213
14 199810
15 20069
16 20188
17 20178
18
"Embryo": an autonomic co-operative service management framework
20085
19 20004
20 20053

About Mark Shackleton

Mark Shackleton is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Genetics, having authored 24 papers that have together received 495 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 (4 papers), Peer-to-Peer Network Technologies (3 papers), Network Security and Intrusion Detection (3 papers), Image Retrieval and Classification Techniques (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (268 citations), Computer Networks and Communications (148 citations), Genetics (105 citations), Information Systems (88 citations) and Signal Processing (41 citations). Mark Shackleton has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Marc Ebner, Rob Shipman, Fabrice Saffre, Jörg Albert, José Halloy, William Jeffrey Welsh, Jean‐Louis Deneubourg, Pushpinder Kaur Chouhan, Richard A. R. Watson and Chris Roadknight. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Artificial Life, The Computer Journal, Future Generation Computer Systems and Complexity.

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.

Explore authors with similar magnitude of impact