Daniel M. Helmick

1.3k citations
30 papers · 1.0k · h-index 14

Impact in

Papers in

Daniel M. Helmick

30 papers receiving 961 citations

Peers

Daniel M. Helmick
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 471
  • Aerospace Engineering 456
  • Control and Systems Engineering 256
  • Civil and Structural Engineering 181
  • Automotive Engineering 95
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Max Bajracharya United States
Arturo L. Rankin United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M. Helmick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Helmick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Helmick. 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 Daniel M. Helmick. The network helps show where Daniel M. Helmick may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel M. Helmick, 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 Daniel M. Helmick Line = papers co-authored together Daniel M. Helmick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008135
2 2007122
3 2004103
4 200799
5 200988
6 200666
7 200665
8 200755
9 200648
10 200342
11 200541
12 200520
13 200717
14 200415
15 200714
16 201311
17 201811
18 20069
19 20099
20
Model based object pose refinement for terrestrial and space autonomy
20008

About Daniel M. Helmick

Daniel M. Helmick is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Astronomy and Astrophysics, Control and Systems Engineering and Biomedical Engineering, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (11 papers), Robotic Locomotion and Control (9 papers), Planetary Science and Exploration (6 papers), Modular Robots and Swarm Intelligence (4 papers), Astro and Planetary Science (4 papers), Iterative Learning Control Systems (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (471 citations), Aerospace Engineering (456 citations), Control and Systems Engineering (256 citations), Civil and Structural Engineering (181 citations) and Automotive Engineering (95 citations). Daniel M. Helmick has collaborated with scholars based in United States. Frequent co-authors include Larry H. Matthies, Anelia Angelova, Stergios I. Roumeliotis, Pietro Perona, Max Bajracharya, Yang Cheng, Mark W. Maimone, Anastasios I. Mourikis, Nikolas Trawny and Pietro Perona. Their work appears in journals such as Journal of Field Robotics, Advanced Robotics, The International Journal of Robotics Research, Computer and Microsystem Technologies.

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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