Graham Hamilton

450 total citations
14 papers, 279 citations indexed

About

Graham Hamilton is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Graham Hamilton has authored 14 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 4 papers in Artificial Intelligence. Recurrent topics in Graham Hamilton's work include Distributed systems and fault tolerance (8 papers), Advanced Data Storage Technologies (8 papers) and Distributed and Parallel Computing Systems (4 papers). Graham Hamilton is often cited by papers focused on Distributed systems and fault tolerance (8 papers), Advanced Data Storage Technologies (8 papers) and Distributed and Parallel Computing Systems (4 papers). Graham Hamilton collaborates with scholars based in United States. Graham Hamilton's co-authors include Michael Powell, James G. Mitchell, Sanjay Radia, R. G. G. Cattell, Michael N. Nelson, Yousef A. Khalidi and Peter B. Kessler and has published in prestigious journals such as ACM SIGPLAN Notices, Software Practice and Experience and ACM SIGOPS Operating Systems Review.

In The Last Decade

Graham Hamilton

12 papers receiving 201 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Graham Hamilton United States 7 239 110 109 56 22 14 279
D. Brent Chapman Czechia 3 200 0.8× 114 1.0× 115 1.1× 49 0.9× 50 2.3× 5 256
François Armand United States 6 272 1.1× 191 1.7× 88 0.8× 65 1.2× 16 0.7× 7 321
Elizabeth D. Zwicky Czechia 3 184 0.8× 102 0.9× 109 1.0× 50 0.9× 48 2.2× 6 237
David Petrou United States 5 221 0.9× 87 0.8× 78 0.7× 85 1.5× 38 1.7× 12 263
Marc Guillemont France 6 257 1.1× 160 1.5× 76 0.7× 44 0.8× 11 0.5× 7 288
Patrick Tullmann United States 7 252 1.1× 135 1.2× 140 1.3× 51 0.9× 31 1.4× 10 302
T. Ngo United States 4 176 0.7× 189 1.7× 105 1.0× 65 1.2× 9 0.4× 6 260
Joni da Silva Fraga Brazil 9 201 0.8× 45 0.4× 76 0.7× 102 1.8× 14 0.6× 37 249
Michael J. Zwilling United States 7 386 1.6× 87 0.8× 69 0.6× 99 1.8× 111 5.0× 11 411
Priya Nagpurkar United States 11 204 0.9× 170 1.5× 86 0.8× 110 2.0× 14 0.6× 25 289

Countries citing papers authored by Graham Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Graham Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Hamilton. A scholar is included among the top collaborators of Graham Hamilton 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 Graham Hamilton. Graham Hamilton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Hamilton, Graham, Peter B. Kessler, Yousef A. Khalidi, et al.. (2002). An overview of the Spring system. 122–131. 25 indexed citations
2.
Hamilton, Graham, Yousef A. Khalidi, & Michael N. Nelson. (2002). Why object oriented operating systems are boring. 118–119.
3.
Nelson, Michael N., Graham Hamilton, & Yousef A. Khalidi. (2002). Caching in an object oriented system. 95–106. 2 indexed citations
4.
Hamilton, Graham, et al.. (1997). Jdbc Database Access with Java: A Tutorial and Annotated Reference. Addison-Wesley Longman Publishing Co., Inc. eBooks. 480–480. 34 indexed citations
5.
Hamilton, Graham, et al.. (1996). Buffer Management Issues in the Implementation of Fast Interprocess Communication. Software Practice and Experience. 26(2). 195–211.
6.
Radia, Sanjay, Graham Hamilton, Peter B. Kessler, & Michael Powell. (1995). The spring object model. 12–12. 6 indexed citations
7.
Hamilton, Graham & Sanjay Radia. (1994). Using interface inheritance to address problems in system software evolution. ACM SIGPLAN Notices. 29(8). 119–128. 4 indexed citations
8.
Hamilton, Graham & Sanjay Radia. (1994). Using interface inheritance to address problems in system software evolution. 119–128. 11 indexed citations
9.
Hamilton, Graham, Michael Powell, & James G. Mitchell. (1993). Subcontract. ACM SIGOPS Operating Systems Review. 27(5). 69–79. 1 indexed citations
10.
Hamilton, Graham, Yousef A. Khalidi, & Michael N. Nelson. (1993). A Framework for Caching in an Object-Oriented System. 7 indexed citations
11.
Hamilton, Graham, et al.. (1993). The Spring Nucleus: A Microkernel for Objects. 11. 105 indexed citations
12.
Nelson, Michael N. & Graham Hamilton. (1993). High performance dynamic linking through caching. 17. 8 indexed citations
13.
Hamilton, Graham, Michael Powell, & James G. Mitchell. (1993). Subcontract. 69–79. 73 indexed citations
14.
Hamilton, Graham, et al.. (1988). An Experimental Symmetric Multiprocessor Ultrix Kernel.. 9(2). 283–290. 3 indexed citations

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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