William J. Gordon

6.7k citations
75 papers · 3.9k indexed · 3 hit papers · h-index 27

William J. Gordon

73 papers receiving 3.6k citations

Hit Papers

Construction of curvilinear co‐ordinate systems and appli...1973202619902008197320182022100200300400

Peers

William J. Gordon
Comparison fields: 5 of 183
  • Computational Mechanics 1.1k
  • Information Systems 612
  • Management Information Systems 519
  • Mechanics of Materials 485
  • Computer Networks and Communications 422
Replace Dale Schuurmans with:
Dale Schuurmans Canada
Francesco Piccialli Italy
Yi Zhang China
Yu Zhang China
Sanjay Ranka United States
Salvatore Cuomo Italy
Svetha Venkatesh Australia
Jon Rokne Canada
Andreas Weber⋆ Germany
Chenyang Lu United States
William J. Gordon relative to Dale Schuurmans Canada Dale Schuurmans's profile →
Citations per field
00.5×11.5×
Dale Schuurmans · 1×
Citations per year

Countries citing papers authored by William J. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by William J. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Gordon. 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 William J. Gordon. The network helps show where William J. Gordon may publish in the future.

Co-authorship network of co-authors of William J. Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Gordon. A scholar is included among the top collaborators of William J. Gordon 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 William J. Gordon. William J. Gordon 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
#WorkIndexed citations
1 9
2 2
3 2
4 9
5 4
6 18
7 15
8 193
9 18
10 92
11 81
12 29
13 0
14 8
15 84
16
Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperabilitybreakdown →
445
17 41
18
Linking the conjectures of Artin-Tate and Birch-Swinnerton-Dyer
11
19 135
20 25

About William J. Gordon

William J. Gordon is a scholar working on Health Informatics, Health Information Management and Numerical Analysis, having authored 75 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (11 papers), Electronic Health Records Systems (10 papers) and Telemedicine and Telehealth Implementation (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (294 citations), Health Informatics (112 citations) and Management Information Systems (519 citations). William J. Gordon has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Charles A. Hall, G. F. Newell, Christian Catalini, Adam Landman, Mohammad S. Jalali, David W. Bates, Richard F. Riesenfeld, Haipeng Zhang, Robert E. Barnhill and G. Birkhoff. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Bioinformatics.

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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