Martin D. Fraser

42 total papers · 718 total citations
31 papers, 480 citations indexed

About

Martin D. Fraser is a scholar working on Computer Networks and Communications, Management Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, Martin D. Fraser has authored 31 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 7 papers in Management Information Systems and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Martin D. Fraser's work include Distributed systems and fault tolerance (6 papers), Advanced Queuing Theory Analysis (6 papers) and Software Reliability and Analysis Research (4 papers). Martin D. Fraser is often cited by papers focused on Distributed systems and fault tolerance (6 papers), Advanced Queuing Theory Analysis (6 papers) and Software Reliability and Analysis Research (4 papers). Martin D. Fraser collaborates with scholars based in United States and Netherlands. Martin D. Fraser's co-authors include Vijay K. Vaishnavi, Alfred A. Bartolucci, Kuldeep Kumar, Abraham Kandel, Saı̈d Salhi, Yi Pan, N. Metropolis, G. Scott Owen, Chaman L. Sabharwal and K Singh and has published in prestigious journals such as Communications of the ACM, The Annals of Statistics and IEEE Transactions on Software Engineering.

In The Last Decade

Martin D. Fraser

29 papers receiving 432 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin D. Fraser 157 131 101 96 65 31 480
Manuel Carro 240 1.5× 143 1.1× 81 0.8× 162 1.7× 63 1.0× 37 485
Axel Thümmler 65 0.4× 36 0.3× 69 0.7× 211 2.2× 60 0.9× 21 409
Philip J. Kiviat 64 0.4× 49 0.4× 65 0.6× 135 1.4× 49 0.8× 25 546
John W. Hamblen 97 0.6× 138 1.1× 97 1.0× 96 1.0× 63 1.0× 41 531
John R. Callahan 110 0.7× 124 0.9× 59 0.6× 72 0.8× 93 1.4× 49 469
Ross Anderson 101 0.6× 72 0.5× 23 0.2× 91 0.9× 38 0.6× 14 407
Harvey M. Deitel 121 0.8× 174 1.3× 28 0.3× 134 1.4× 36 0.6× 60 487
Cunhua Qian 90 0.6× 33 0.3× 47 0.5× 50 0.5× 126 1.9× 31 413
Marco Valtorta 330 2.1× 80 0.6× 62 0.6× 93 1.0× 21 0.3× 51 527
V. Rajaraman 102 0.6× 98 0.7× 44 0.4× 144 1.5× 16 0.2× 76 510

Countries citing papers authored by Martin D. Fraser

Since Specialization
Citations

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

Fields of papers citing papers by Martin D. Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin D. Fraser. 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 Martin D. Fraser. The network helps show where Martin D. Fraser may publish in the future.

Co-authorship network of co-authors of Martin D. Fraser

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

All Works

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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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