A.A. Rizzi

3.3k citations
52 papers · 2.4k · h-index 26

Impact in

Papers in

A.A. Rizzi

52 papers receiving 2.2k citations

Peers

A.A. Rizzi
Comparison fields: 5 of 90
  • Control and Systems Engineering 1.1k
  • Computer Vision and Pattern Recognition 787
  • Biomedical Engineering 1.1k
  • Aerospace Engineering 433
  • Mechanical Engineering 601
Replace Alfred A. Rizzi with:
Alfred A. Rizzi United States
Mike Stilman United States
Mrinal Kalakrishnan United States
R. Volpe United States
Roy Featherstone Italy
Sachin Chitta United States
Pradeep K. Khosla United States
Nicolas Mansard France
Torsten Bertram Germany
Ioan A. Şucan United States
A.A. Rizzi relative to Alfred A. Rizzi United States Alfred A. Rizzi's profile →
Citations per field
00.5×1.5×1.9×
Alfred A. Rizzi · 1×
Citations per year

Countries citing papers authored by A.A. Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by A.A. Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008349
2 1999316
3 1993170
4 2004163
5 2009144
6 2004107
7 200581
8 199667
9 199965
10 200263
11 200659
12 199249
13 200445
14 200643
15 200242
16 200340
17 200239
18 200932
19 200831
20 200631

About A.A. Rizzi

A.A. Rizzi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Mechanical Engineering and Aerospace Engineering, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (17 papers), Robotic Path Planning Algorithms (16 papers), Robot Manipulation and Learning (14 papers), Modular Robots and Swarm Intelligence (10 papers), Robotic Mechanisms and Dynamics (9 papers), Control and Dynamics of Mobile Robots (8 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Computer Vision and Pattern Recognition (787 citations), Biomedical Engineering (1.1k citations), Aerospace Engineering (433 citations) and Mechanical Engineering (601 citations). A.A. Rizzi has collaborated with scholars based in United States, Türkiye and Japan. Frequent co-authors include Daniel E. Koditschek, Howie Choset, Robert R. Burridge, G. Clark Haynes, David C. Conner, D. E. Koditschek, Louis L. Whitcomb, Ralph Hollis, Jonathan Hurst and Joel Chestnutt. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, The International Journal of Robotics Research, Computer and IEEE Transactions on Robotics.

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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