Julian Gallop

685 total citations
30 papers, 373 citations indexed

About

Julian Gallop is a scholar working on Computer Networks and Communications, Information Systems and Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julian Gallop has authored 30 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 7 papers in Information Systems and Management and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julian Gallop's work include Distributed and Parallel Computing Systems (10 papers), Scientific Computing and Data Management (7 papers) and Manufacturing Process and Optimization (5 papers). Julian Gallop is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Scientific Computing and Data Management (7 papers) and Manufacturing Process and Optimization (5 papers). Julian Gallop collaborates with scholars based in United Kingdom, France and United States. Julian Gallop's co-authors include Ken Brodlie, Jeremy Walton, David Duce, Jens Grabowski, Tatiana Kováčiková, Ian Stokes-Rees, Stephan Schulz, Rae Earnshaw, John Carter Wood and Roger Hubbold and has published in prestigious journals such as Environmental Modelling & Software, Control Engineering Practice and Computer Graphics Forum.

In The Last Decade

Julian Gallop

28 papers receiving 323 citations

Peers

Julian Gallop
Comparison fields: 5 of 87
  • Computer Networks and Communications 179
  • Computer Vision and Pattern Recognition 112
  • Information Systems 96
  • Information Systems and Management 79
  • Artificial Intelligence 53
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Citations per field, relative to Julian Gallop
Julian Gallop · 1×
Citations per year, relative to Julian Gallop
Julian Gallop · 1×

Countries citing papers authored by Julian Gallop

Since Specialization
Citations

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

Fields of papers citing papers by Julian Gallop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Gallop

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Gallop. A scholar is included among the top collaborators of Julian Gallop 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 Julian Gallop. Julian Gallop 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
# Work Indexed citations
1 86
2 5
3 7
4 4
5 17
6 52
7 79
8 1
9 3
10
Structuring for Extensibility - Adapting the Past to Fit the Future
4
11 8
12 10
13 2
14 2
15
Scientific visualization techniques and applications
64
16 1
17 2
18 2
19
Introduction to the Graphical Kernel System (GKS) (2nd ed. revised for international standard)
2
20 2

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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