George Riley

14.2k total citations · 2 hit papers
72 papers, 5.4k citations indexed

About

George Riley is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, George Riley has authored 72 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 20 papers in Management Science and Operations Research and 14 papers in Molecular Biology. Recurrent topics in George Riley's work include Simulation Techniques and Applications (20 papers), Network Traffic and Congestion Control (18 papers) and Distributed and Parallel Computing Systems (10 papers). George Riley is often cited by papers focused on Simulation Techniques and Applications (20 papers), Network Traffic and Congestion Control (18 papers) and Distributed and Parallel Computing Systems (10 papers). George Riley collaborates with scholars based in United States, United Kingdom and Singapore. George Riley's co-authors include Melissa Landrum, Wonhee Jang, Donna Maglott, Wendy S. Rubinstein, Jennifer M. Lee, Deanna M. Church, Douglas Hoffman, Jennifer Hart, Chao Chen and Shanmuga Chitipiralla and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

George Riley

70 papers receiving 5.3k citations

Hit Papers

ClinVar: public archive of relationships among sequence v... 2013 2026 2017 2021 2013 2015 500 1000 1.5k

Peers

George Riley
Comparison fields: 5 of 145
  • Molecular Biology 2.7k
  • Genetics 1.8k
  • Computer Networks and Communications 1.0k
  • Cancer Research 727
  • Epidemiology 419
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Citations per field, relative to George Riley
George Riley · 1×
Citations per year, relative to George Riley
George Riley · 1×

Countries citing papers authored by George Riley

Since Specialization
Citations

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

Fields of papers citing papers by George Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Riley

This figure shows the co-authorship network connecting the top 25 collaborators of George Riley. A scholar is included among the top collaborators of George Riley 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 George Riley. George Riley 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 7
2 22
3 13
4
ClinVar: public archive of interpretations of clinically relevant variants breakdown →
1717
5
ClinVar: public archive of relationships among sequence variation and human phenotype breakdown →
1956
6 27
7 3
8 59
9 2
10 25
11 1
12 4
13
Classifying the Types of Autonomous Systems in the Internet
4
14 13
15
Simulating Large Networks - How Big is Big Enough?
21
16 20
17
Efficient implementations of java remote method invocation (RMI)
42
18 49
19 14
20 7

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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