Ryan K. Williams

818 total citations
60 papers, 555 citations indexed

About

Ryan K. Williams is a scholar working on Computer Networks and Communications, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Ryan K. Williams has authored 60 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 15 papers in Mechanical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Ryan K. Williams's work include Distributed Control Multi-Agent Systems (28 papers), Modular Robots and Swarm Intelligence (14 papers) and Optimization and Search Problems (7 papers). Ryan K. Williams is often cited by papers focused on Distributed Control Multi-Agent Systems (28 papers), Modular Robots and Swarm Intelligence (14 papers) and Optimization and Search Problems (7 papers). Ryan K. Williams collaborates with scholars based in United States, Italy and Spain. Ryan K. Williams's co-authors include Gaurav S. Sukhatme, Andrea Gasparri, Giovanni Ulivi, Marisol Lila, Ángel Romero‐Martínez, Luis Moya‐Albiol, Pratap Tokekar, Alba Catalá-Miñana, Esperanza González‐Bono and Lifeng Zhou and has published in prestigious journals such as Journal of Hazardous Materials, International Journal of Environmental Research and Public Health and IEEE Transactions on Cybernetics.

In The Last Decade

Ryan K. Williams

58 papers receiving 544 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan K. Williams United States 15 291 105 102 80 67 60 555
Pramod Abichandani United States 14 108 0.4× 74 0.7× 43 0.4× 132 1.6× 53 0.8× 34 497
Miguel Duarte Portugal 10 146 0.5× 42 0.4× 159 1.6× 57 0.7× 181 2.7× 29 424
Pu Yang China 15 128 0.4× 240 2.3× 41 0.4× 49 0.6× 118 1.8× 71 621
Adrián F. Peña-Delgado Mexico 11 25 0.1× 81 0.8× 29 0.3× 39 0.5× 122 1.8× 23 530
Myung‐Jin Jung South Korea 12 106 0.4× 137 1.3× 33 0.3× 193 2.4× 77 1.1× 36 387
Luís Brito Palma Portugal 11 59 0.2× 180 1.7× 44 0.4× 11 0.1× 99 1.5× 75 398
Pu Zhang China 10 296 1.0× 181 1.7× 14 0.1× 118 1.5× 19 0.3× 27 532
Jesse Clifton United States 3 55 0.2× 43 0.4× 11 0.1× 30 0.4× 68 1.0× 5 474
Debra Schreckenghost United States 15 57 0.2× 127 1.2× 73 0.7× 86 1.1× 213 3.2× 60 639

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-authorship network of co-authors of Ryan K. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan K. Williams. A scholar is included among the top collaborators of Ryan K. Williams 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 Ryan K. Williams. Ryan K. Williams 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
1.
Li, Dong, et al.. (2024). Time-Triggered Scheduling for Nonpreemptive Real-Time DAG Tasks Using 1-Opt Local Search. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 3650–3661.
2.
Thomas, Jobin, et al.. (2024). Predicting USCS soil texture classes utilizing soil spectra and deep learning. Journal of Soils and Sediments. 24(11). 3594–3609. 2 indexed citations
3.
Huang, Jia‐Bin, et al.. (2024). Partitioned scheduling with safety-performance trade-offs in stochastic conditional DAG models. Journal of Systems Architecture. 153. 103189–103189. 2 indexed citations
4.
Wang, Sen, Dong Li, S.M. Huang, et al.. (2024). Optimizing Logical Execution Time Model for Both Determinism and Low Latency. 135–148. 3 indexed citations
5.
Huang, Jia‐Bin, et al.. (2023). A Safety-Performance Metric Enabling Computational Awareness in Autonomous Robots. IEEE Robotics and Automation Letters. 8(9). 5727–5734. 2 indexed citations
6.
Zeng, Haibo, et al.. (2023). Towards computational awareness in autonomous robots: an empirical study of computational kernels. Complex & Intelligent Systems. 9(6). 6269–6295. 2 indexed citations
7.
Huang, S.M., et al.. (2023). RTailor: Parameterizing Soft Error Resilience for Mixed-Criticality Real-Time Systems. 344–357. 6 indexed citations
8.
Gasparri, Andrea, et al.. (2022). Distributed Adaptive and Resilient Control of Multi-Robot Systems With Limited Field of View Interactions. IEEE Robotics and Automation Letters. 7(2). 5318–5325. 5 indexed citations
9.
Tracy, Benjamin F., et al.. (2021). DeepPaSTL: Spatio-Temporal Deep Learning Methods for Predicting Long-Term Pasture Terrains Using Synthetic Datasets. Agronomy. 11(11). 2245–2245. 8 indexed citations
10.
Williams, Ryan K., et al.. (2020). Learning Multi-Agent Communication Through Structured Attentive Reasoning. Neural Information Processing Systems. 33. 10088–10098. 10 indexed citations
11.
Gasparri, Andrea, et al.. (2020). Optimal Topology Selection for Stable Coordination of Asymmetrically Interacting Multi-Robot Systems. Iris (Roma Tre University). 6668–6674. 5 indexed citations
12.
Williams, Ryan K., et al.. (2019). A Deep Learning Approach for Probabilistic Security in Multi-Robot Teams. IEEE Robotics and Automation Letters. 4(4). 4262–4269. 5 indexed citations
13.
Williams, Ryan K., et al.. (2018). Optimal Intermittent Deployment and Sensor Selection for Environmental Sensing with Multi-Robot Teams. 1078–1083. 11 indexed citations
14.
Williams, Ryan K., Andrea Gasparri, & Giovanni Ulivi. (2017). Decentralized matroid optimization for topology constraints in multi-robot allocation problems. Iris (Roma Tre University). 293–300. 35 indexed citations
15.
Williams, Ryan K. & Gaurav S. Sukhatme. (2015). Observability in topology-constrained multi-robot target tracking. 1795–1801. 18 indexed citations
16.
Gasparri, Andrea, et al.. (2014). Set Input-to-State Stability for spatially interacting multi-agent systems. Iris (Roma Tre University). 5381–5386. 4 indexed citations
17.
Aurell, Johanna, et al.. (2014). Aerostat-based sampling of emissions from open burning and open detonation of military ordnance. Journal of Hazardous Materials. 284. 108–120. 12 indexed citations
18.
Romero‐Martínez, Ángel, Marisol Lila, Ryan K. Williams, Esperanza González‐Bono, & Luis Moya‐Albiol. (2013). Skin conductance rises in preparation and recovery to psychosocial stress and its relationship with impulsivity and testosterone in intimate partner violence perpetrators. International Journal of Psychophysiology. 90(3). 329–333. 34 indexed citations
19.
Williams, Ryan K., et al.. (2013). Decentralized generic rigidity evaluation in interconnected systems. Iris (Roma Tre University). 5093–5099. 3 indexed citations
20.
Williams, Ryan K. & Gaurav S. Sukhatme. (2011). Cooperative multi-agent inference over grid structured Markov random fields. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 indexed citations

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

Breakdown of academic impact, for papers by Pramod Abichandani Breakdown of academic impact, for papers by Miguel Duarte Breakdown of academic impact, for papers by Pu Yang Breakdown of academic impact, for papers by Adrián F. Peña-Delgado Breakdown of academic impact, for papers by Myung‐Jin Jung Breakdown of academic impact, for papers by Luís Brito Palma Breakdown of academic impact, for papers by Pu Zhang Breakdown of academic impact, for papers by Jesse Clifton Breakdown of academic impact, for papers by Debra Schreckenghost
Rankless by CCL
2026