MaryAnne Fields

449 citations
18 papers · 346 · h-index 7

Impact in

Papers in

MaryAnne Fields

16 papers receiving 326 citations

Peers

MaryAnne Fields
Comparison fields: 5 of 43
  • Computer Networks and Communications 248
  • Computer Vision and Pattern Recognition 158
  • Aerospace Engineering 113
  • Mechanical Engineering 105
  • Control and Systems Engineering 64
Replace Siddharth Mayya with:
Siddharth Mayya United States
Hari D. Nayar United States
Kimberly McGuire Netherlands
Riccardo Falconi Italy
Nima Moshtagh United States
Uwe R. Zimmer Australia
Greg N. Droge United States
Tobias Nägeli Switzerland
Timothy Stirling Switzerland
Anam Tahir Finland
MaryAnne Fields relative to Siddharth Mayya United States Siddharth Mayya's profile →
Citations per field
00.5×5×10×15×21×
Siddharth Mayya · 1×
Citations per year

Countries citing papers authored by MaryAnne Fields

Since Specialization
Citations

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

Fields of papers citing papers by MaryAnne Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside MaryAnne Fields, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with MaryAnne Fields Line = papers co-authored together MaryAnne Fields links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2007109
2 2009103
3 200928
4 200627
5 200624
6 200813
7 201111
8 20077
9 20115
10 20165
11 20185
12 20154
13 20092
14 20171
15 20091
16 20031
17 20120
18 20010

About MaryAnne Fields

MaryAnne Fields is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 18 papers that have together received 346 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Distributed Control Multi-Agent Systems (8 papers), Modular Robots and Swarm Intelligence (4 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Guidance and Control Systems (2 papers), Robotics and Automated Systems (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Networks and Communications (248 citations), Computer Vision and Pattern Recognition (158 citations), Aerospace Engineering (113 citations), Mechanical Engineering (105 citations) and Control and Systems Engineering (64 citations). MaryAnne Fields has collaborated with scholars based in United States. Frequent co-authors include Kimon P. Valavanis, Laura L. Barnes, Laura E. Barnes, Wilfrido Alejandro Moreno, Ellen C. Haas, Susan G. Hill, Michael K. Martin, Roy Garcia, Christian J. Lebiere and Srinivas Katkoori. Their work appears in journals such as Computational and Mathematical Organization Theory, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Lecture notes in computer science, The Journal of Defense Modeling and Simulation Applications Methodology Technology and 2006 14th Mediterranean Conference on Control and Automation.

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.

Explore authors with similar magnitude of impact