Ryan K. Williams

818 citations
60 papers · 555 · h-index 15

Impact in

Papers in

Ryan K. Williams

58 papers receiving 544 citations

Peers

Ryan K. Williams
Comparison fields: 5 of 86
  • Computer Networks and Communications 291
  • Control and Systems Engineering 105
  • Computer Graphics and Computer-Aided Design 14
  • Hardware and Architecture 27
  • Computer Vision and Pattern Recognition 80
Replace Gregory K. Tharp with:
Gregory K. Tharp United States
Xiaozhou Ye China
Yuancheng Li China
Luís Brito Palma Portugal
Renzo De Nardi United Kingdom
Myung‐Jin Jung South Korea
Youngtae Noh South Korea
Gaurav Verma India
Chao Gui China
Ryan K. Williams relative to Gregory K. Tharp United States Gregory K. Tharp's profile →
Citations per field
00.5×10×15×18×
Gregory K. Tharp · 1×
Citations per year

Countries citing papers authored by Ryan K. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ryan K. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201351
2 201341
3 201735
4 201334
5 201521
6 201518
7 201418
8 202216
9 201316
10 200216
11 201915
12 201715
13 201214
14 202114
15 202114
16 201412
17 201312
18 201811
19
Learning Multi-Agent Communication Through Structured Attentive Reasoning
202010
20 20218

About Ryan K. Williams

Ryan K. Williams is a scholar working on Computer Networks and Communications, Mechanical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 60 papers that have together received 555 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (28 papers), Modular Robots and Swarm Intelligence (14 papers), Optimization and Search Problems (7 papers), Robotic Path Planning Algorithms (6 papers), Real-Time Systems Scheduling (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Smart Grid Security and Resilience (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (291 citations), Control and Systems Engineering (105 citations), Computer Graphics and Computer-Aided Design (14 citations), Hardware and Architecture (27 citations) and Computer Vision and Pattern Recognition (80 citations). Ryan K. Williams has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Gaurav S. Sukhatme, Andrea Gasparri, Giovanni Ulivi, Marisol Lila, Luis Moya‐Albiol, Ángel Romero‐Martínez, Pratap Tokekar, Alba Catalá-Miñana, Esperanza González‐Bono and Nicole Abaid. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Autonomous Robots, IEEE Transactions on Mobile Computing and IEEE Transactions on Automation Science and Engineering.

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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