Mark Gaynor

718 total citations
41 papers, 405 citations indexed

About

Mark Gaynor is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Gaynor has authored 41 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Gaynor's work include Context-Aware Activity Recognition Systems (9 papers), Service-Oriented Architecture and Web Services (7 papers) and Electronic Health Records Systems (7 papers). Mark Gaynor is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Service-Oriented Architecture and Web Services (7 papers) and Electronic Health Records Systems (7 papers). Mark Gaynor collaborates with scholars based in United States, Spain and Germany. Mark Gaynor's co-authors include S. Bradner, Matt Welsh, Steven L. Moulton, Steve Moulton, Jason Waterman, George M. Wyner, B. R. Iyer, Janet E. Tuttle‐Newhall, Arti Patel and H. T. Kung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer and Journal of Medical Internet Research.

In The Last Decade

Mark Gaynor

37 papers receiving 361 citations

Peers

Mark Gaynor
Comparison fields: 5 of 75
  • Computer Networks and Communications 170
  • Information Systems 110
  • Management Information Systems 63
  • Computer Vision and Pattern Recognition 53
  • Artificial Intelligence 43
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Citations per field, relative to Mark Gaynor
Mark Gaynor · 1×
Citations per year, relative to Mark Gaynor
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Countries citing papers authored by Mark Gaynor

Since Specialization
Citations

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

Fields of papers citing papers by Mark Gaynor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Gaynor

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Gaynor. A scholar is included among the top collaborators of Mark Gaynor 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 Mark Gaynor. Mark Gaynor 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 2
2 1
3 41
4 5
5 3
6
A Sensor-based, Web Service-enabled, Emergency Medical Response System.
0
7 0
8 17
9 3
10 3
11 2
12 5
13 8
14
Applications for Emergency Medical Services
1
15 0
16
Wireless Sensor Network Applications
5
17 36
18
Network Services Investment Guide: Maximizing ROI in Uncertain Times (Networking Council)
12
19 8
20 9

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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