Michael K. Martin

25 papers receiving 318 citations

Peers

Michael K. Martin
Comparison fields: 5 of 81
  • Artificial Intelligence 94
  • Management Science and Operations Research 86
  • Social Psychology 70
  • Sociology and Political Science 52
  • Computational Mechanics 48
Replace Michael Köller with:
Michael Köller Germany
William F. Lawless United States
Haotian Wang China
James Schaffer United States
Noam Ben‐Asher United States
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Michael K. Martin relative to Michael Köller Germany Michael Köller's profile →
Citations per field
00.5×10×17.2×
Michael Köller · 1×
Citations per year

Countries citing papers authored by Michael K. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael K. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Martin. A scholar is included among the top collaborators of Michael K. Martin 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 Michael K. Martin. Michael K. Martin 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 1
2 5
3 6
4 18
5 16
6 30
7 7
8 3
9 2
10 0
11 0
12
Benefits of Low-Cost INS/GPS to Augment Land Navigation
1
13 2
14
Flight Control Overview of STS-88, the First Space Station Assembly Flight
2
15
Digital Quartz IMU - Navigation Processor (DQI-NP) Design and Performance
4
16
C-MIGITS™ II Design and Performance
7
17 12
18 45
19
Regulating the automobile
2
20 1

About Michael K. Martin

Michael K. Martin is a scholar working on General Decision Sciences, Fluid Flow and Transfer Processes and Aerospace Engineering, having authored 28 papers that have together received 360 indexed citations. Recurring topics across this work include GNSS positioning and interference (5 papers), Inertial Sensor and Navigation (4 papers) and Cognitive Science and Mapping (4 papers). The work is most often cited by research in General Decision Sciences (18 citations), Fluid Flow and Transfer Processes (48 citations) and Management Science and Operations Research (86 citations). Michael K. Martin has collaborated with scholars based in United States. Frequent co-authors include Cleotilde González, Polina M. Vanyukov, Kathleen M. Carley, John B. Heywood, Brian R. Hirshman, Christian Lebière, Jürgen Pfeffer, Kenneth Joseph, Victor W. Wong and Michael W. Bigrigg. Their work appears in journals such as Computers in Human Behavior, SAE technical papers on CD-ROM/SAE technical paper series and Combustion Science and Technology.

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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