Joshua Siegel

2.0k total citations · 1 hit paper
53 papers, 1.2k citations indexed

About

Joshua Siegel is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications. According to data from OpenAlex, Joshua Siegel has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 14 papers in Automotive Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Joshua Siegel's work include Autonomous Vehicle Technology and Safety (12 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers) and IoT and Edge/Fog Computing (5 papers). Joshua Siegel is often cited by papers focused on Autonomous Vehicle Technology and Safety (12 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers) and IoT and Edge/Fog Computing (5 papers). Joshua Siegel collaborates with scholars based in United States, Greece and Cyprus. Joshua Siegel's co-authors include Sanjay E. Sarma, Dylan C. Erb, Nitin Sharma, Yongbin Sun, Ziwei Liu, Yue Wang, Rahul Bhattacharyya, Sai Nithin R. Kantareddy, Antonis A. Zorpas and Juuso Autiosalo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Access.

In The Last Decade

Joshua Siegel

50 papers receiving 1.2k citations

Hit Papers

A Survey of Path Planning Algorithms for Mobile Robots 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey of Path Planning Algorithms for Mobile Robots
    2021 219 citations Joshua Siegel et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Siegel United States 15 399 312 233 216 206 53 1.2k
Shen Wang Ireland 15 422 1.1× 154 0.5× 213 0.9× 269 1.2× 126 0.6× 67 1.2k
Fabio Arena Italy 17 442 1.1× 168 0.5× 180 0.8× 325 1.5× 250 1.2× 35 1.1k
Haigen Min China 16 234 0.6× 294 0.9× 257 1.1× 99 0.5× 592 2.9× 39 1.4k
Kai Gao China 17 205 0.5× 129 0.4× 262 1.1× 106 0.5× 248 1.2× 98 1.1k
Ljubo Vlacic Australia 21 351 0.9× 236 0.8× 789 3.4× 315 1.5× 573 2.8× 94 1.6k
Luca Bedogni Italy 19 562 1.4× 201 0.6× 77 0.3× 543 2.5× 150 0.7× 99 1.2k
Soufiene Djahel United Kingdom 22 607 1.5× 232 0.7× 335 1.4× 640 3.0× 246 1.2× 79 1.6k
Yutong Wang China 21 111 0.3× 344 1.1× 152 0.7× 106 0.5× 198 1.0× 100 1.2k
Maria‐Dolores Cano Spain 18 547 1.4× 148 0.5× 140 0.6× 630 2.9× 86 0.4× 72 1.2k
Xuan Li China 18 104 0.3× 371 1.2× 179 0.8× 94 0.4× 280 1.4× 55 1.3k

Countries citing papers authored by Joshua Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Siegel. A scholar is included among the top collaborators of Joshua Siegel 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 Joshua Siegel. Joshua Siegel 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
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Siegel, Joshua, et al.. (2022). Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization. Sensors. 22(20). 7736–7736. 5 indexed citations
4.
Gupta, Piyush, et al.. (2022). Towards Physically Adversarial Intelligent Networks (PAINs) for Safer Self-Driving. IEEE Control Systems Letters. 7. 1063–1068. 7 indexed citations
5.
Papamichael, Iliana, et al.. (2022). Unified waste metrics: A gamified tool in next-generation strategic planning. The Science of The Total Environment. 833. 154835–154835. 35 indexed citations
6.
Autiosalo, Juuso, Joshua Siegel, & Kari Tammi. (2021). Twinbase: Open-Source Server Software for the Digital Twin Web. IEEE Access. 9. 140779–140798. 34 indexed citations
7.
Papamichael, Iliana, et al.. (2021). Modelling Key Performance Indicators in a Gamified Waste Management Tool. SHILAP Revista de lepidopterología. 3(1). 27–53. 31 indexed citations
8.
Siegel, Joshua, et al.. (2021). A Gamified Simulator and Physical Platform for Self-Driving Algorithm Training and Validation. Electronics. 10(9). 1112–1112. 11 indexed citations
9.
Siegel, Joshua, et al.. (2020). Automated Vehicles Sharing the Road: Surveying Detection and Localization of Pedalcyclists. IEEE Transactions on Intelligent Vehicles. 6(4). 649–664. 18 indexed citations
10.
Siegel, Joshua, et al.. (2020). Safe energy savings through context-aware hot water demand prediction. Engineering Applications of Artificial Intelligence. 90. 103481–103481. 5 indexed citations
11.
Siegel, Joshua, et al.. (2020). Cultivating Invisible Impact with Deep Technology and Creative Destruction. Journal of Innovation Management. 8(3). 6–19. 15 indexed citations
12.
Kantareddy, Sai Nithin R., et al.. (2019). Low-Cost Diaper Wetness Detection Using Hydrogel-Based RFID Tags. IEEE Sensors Journal. 20(6). 3293–3302. 46 indexed citations
13.
Siegel, Joshua & Sanjay E. Sarma. (2019). A Cognitive Protection System for the Internet of Things. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
14.
Siegel, Joshua & Sanjay E. Sarma. (2019). A Cognitive Protection System for the Internet of Things. IEEE Security & Privacy. 17(3). 40–48. 13 indexed citations
15.
Sun, Yongbin, Sai Nithin R. Kantareddy, Joshua Siegel, et al.. (2019). Towards Industrial IoT-AR Systems using Deep Learning-Based Object Pose Estimation. 1–8. 7 indexed citations
16.
Siegel, Joshua, et al.. (2016). Local Viscosity Control Printing for High-Throughput Additive Manufacturing of Polymers. 3D Printing and Additive Manufacturing. 3(4). 252–261. 5 indexed citations
17.
Wilhelm, Erik, Joshua Siegel, Simon Mayer, et al.. (2015). Cloudthink: A scalable secure platform for mirroring transportation systems in the cloud. Alexandria (UniSG) (University of St.Gallen). 8 indexed citations
18.
Siegel, Joshua, Rahul Bhattacharyya, Sanjay E. Sarma, & Ajay Deshpande. (2015). Smartphone-Based Wheel Imbalance Detection. 11 indexed citations
19.
Siegel, Joshua, Rahul Bhattacharyya, Ajay Deshpande, & Sanjay E. Sarma. (2014). Vehicular engine oil service life characterization using On-Board Diagnostic (OBD) sensor data. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations
20.
Antonelli, Paola, et al.. (2004). Modern contemporary : art since 1980 at MoMA. 2 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.

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