Mark Burgess

1.2k citations
55 papers · 532 · h-index 12

Impact in

Papers in

Mark Burgess

51 papers receiving 493 citations

Peers

Mark Burgess
Comparison fields: 5 of 77
  • Computer Networks and Communications 286
  • Statistical and Nonlinear Physics 80
  • Information Systems 127
  • Signal Processing 54
  • Management Information Systems 43
Replace David Jordan with:
David Jordan United Kingdom
Minghui Xu China
Michael Piatek United States
Robert Cole United States
Abdus Salam Pakistan
Hyojoon Kim United States
Alfs Berztiss United States
Alessandra Agostini Italy
Shujiang Xu China
Katherine E. Isaacs United States
Mark Burgess relative to David Jordan United Kingdom David Jordan's profile →
Citations per field
00.5×4.3×
David Jordan · 1×
Citations per year

Countries citing papers authored by Mark Burgess

Since Specialization
Citations

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

Fields of papers citing papers by Mark Burgess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Burgess, 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 Burgess Line = papers co-authored together Mark Burgess links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200763
2 199362
3 202338
4 200536
5 200234
6 199728
7 200327
8 200818
9 199815
10 200013
11 200512
12
Analytical Network and System Administration: Managing Human-Computer Networks
200411
13 199011
14 200510
15 199310
16 19989
17
Promise Theory: Principles and Applications
20149
18 20009
19 20069
20 19918

About Mark Burgess

Mark Burgess is a scholar working on Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 55 papers that have together received 532 indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (9 papers), Distributed systems and fault tolerance (8 papers), Black Holes and Theoretical Physics (7 papers), Distributed and Parallel Computing Systems (7 papers), Network Security and Intrusion Detection (6 papers), Complex Network Analysis Techniques (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (286 citations), Statistical and Nonlinear Physics (80 citations), Information Systems (127 citations), Signal Processing (54 citations) and Management Information Systems (43 citations). Mark Burgess has collaborated with scholars based in Norway, United Kingdom and United States. Frequent co-authors include David J. Toms, Rolf Stadler, Trond Reitan, Hårek Haugerud, Rémi Badonnel, Burkhard Stiller, Gregorio Martínez Pérez, Jürgen Schönwälder, Aiko Pras and Olivier Festor. Their work appears in journals such as Science of Computer Programming, Software Practice and Experience, Physical Review Letters, Physical review. B, Condensed matter and Physical Review A.

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