Daniel M. Vogt

6.5k total citations · 6 hit papers
45 papers, 5.4k citations indexed

About

Daniel M. Vogt is a scholar working on Biomedical Engineering, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Daniel M. Vogt has authored 45 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 9 papers in Ocean Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Daniel M. Vogt's work include Advanced Sensor and Energy Harvesting Materials (20 papers), Soft Robotics and Applications (16 papers) and Underwater Vehicles and Communication Systems (8 papers). Daniel M. Vogt is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (20 papers), Soft Robotics and Applications (16 papers) and Underwater Vehicles and Communication Systems (8 papers). Daniel M. Vogt collaborates with scholars based in United States, Germany and Canada. Daniel M. Vogt's co-authors include Robert J. Wood, Jennifer A. Lewis, Yiğit Mengüç, Ryan L. Truby, Joseph T. Muth, David B. Kolesky, Daniela Rus, Shuguang Li, Conor J. Walsh and Yong‐Lae Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel M. Vogt

44 papers receiving 5.3k citations

Hit Papers

Embedded 3D Printing of Strain Sensors within Highly Stre... 2014 2026 2018 2022 2014 2017 2018 2015 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Vogt United States 26 4.6k 1.5k 1.1k 765 688 45 5.4k
Yiğit Mengüç United States 28 3.7k 0.8× 1.1k 0.7× 769 0.7× 698 0.9× 677 1.0× 67 4.5k
Jonathan Rossiter United Kingdom 39 3.6k 0.8× 1.8k 1.2× 973 0.9× 400 0.5× 634 0.9× 248 5.2k
Yong‐Lae Park South Korea 43 6.4k 1.4× 1.5k 1.0× 1.6k 1.5× 548 0.7× 1.0k 1.5× 137 7.3k
Lucia Beccai Italy 34 4.5k 1.0× 1.2k 0.8× 1.7k 1.6× 864 1.1× 981 1.4× 112 5.6k
Rebecca K. Kramer United States 28 3.4k 0.7× 1.1k 0.7× 842 0.8× 503 0.7× 1.2k 1.8× 51 4.1k
Jongmin Shim United States 22 2.6k 0.6× 1.9k 1.2× 382 0.4× 558 0.7× 562 0.8× 44 4.4k
Shuo Li United States 29 4.7k 1.0× 1.4k 0.9× 1.4k 1.3× 1.4k 1.9× 1.4k 2.0× 72 6.1k
Huichan Zhao China 26 3.7k 0.8× 1.6k 1.0× 563 0.5× 316 0.4× 349 0.5× 72 4.3k
Rebecca Kramer‐Bottiglio United States 27 2.6k 0.6× 1.5k 0.9× 565 0.5× 401 0.5× 506 0.7× 98 3.3k
Ryan L. Truby United States 23 7.7k 1.7× 2.9k 1.9× 602 0.6× 933 1.2× 863 1.3× 47 9.4k

Countries citing papers authored by Daniel M. Vogt

Since Specialization
Citations

This map shows the geographic impact of Daniel M. Vogt'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. Vogt 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. Vogt more than expected).

Fields of papers citing papers by Daniel M. Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Vogt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Vogt. A scholar is included among the top collaborators of Daniel M. Vogt 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 Daniel M. Vogt. Daniel M. Vogt 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.
Burns, John A., J. Daniëls, Kaitlyn P. Becker, et al.. (2024). Transcriptome sequencing of seven deep marine invertebrates. Scientific Data. 11(1). 679–679.
2.
Jatavallabhula, Krishna Murthy, et al.. (2024). Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time. IEEE Robotics and Automation Letters. 9(4). 3283–3290. 8 indexed citations
3.
Vogt, Daniel M., et al.. (2024). Reinforcement learning–based framework for whale rendezvous via autonomous sensing robots. Science Robotics. 9(95). eadn7299–eadn7299. 2 indexed citations
4.
Burns, John A., Kaitlyn P. Becker, J. Daniëls, et al.. (2024). An in situ digital synthesis strategy for the discovery and description of ocean life. Science Advances. 10(3). eadj4960–eadj4960. 7 indexed citations
5.
Andreas, Jacob, Gašper Beguš, Michael M. Bronstein, et al.. (2022). Toward understanding the communication in sperm whales. iScience. 25(6). 104393–104393. 19 indexed citations
6.
Lee, Dae‐Young, Seung Hee Jeong, Daniel M. Vogt, et al.. (2022). A Wearable Textile-Embedded Dielectric Elastomer Actuator Haptic Display. Soft Robotics. 9(6). 1186–1197. 57 indexed citations
7.
Siddall, Robert, Toshihiko Fukushima, Hritwick Banerjee, et al.. (2021). Modeling and Control of a Soft Robotic Fish with Integrated Soft Sensing. SHILAP Revista de lepidopterología. 5(4). 52 indexed citations
8.
Jusufi, Ardian, et al.. (2020). Fish-like aquatic propulsion studied using a pneumatically-actuated soft-robotic model. Bioinspiration & Biomimetics. 15(4). 46008–46008. 48 indexed citations
9.
Zhao, Huichan, Aftab M. Hussain, Ali Israr, et al.. (2020). A Wearable Soft Haptic Communicator Based on Dielectric Elastomer Actuators. Soft Robotics. 7(4). 451–461. 136 indexed citations
10.
Tessler, Michael, Mercer R. Brugler, John A. Burns, et al.. (2020). Ultra-gentle soft robotic fingers induce minimal transcriptomic response in a fragile marine animal. Current Biology. 30(4). R157–R158. 9 indexed citations
11.
Sinatra, Nina R., Clark B. Teeple, Daniel M. Vogt, et al.. (2019). Ultragentle manipulation of delicate structures using a soft robotic gripper. Science Robotics. 4(33). 261 indexed citations breakdown →
12.
Phillips, Brennan, Kaitlyn P. Becker, Shunichi Kurumaya, et al.. (2018). A Dexterous, Glove-Based Teleoperable Low-Power Soft Robotic Arm for Delicate Deep-Sea Biological Exploration. Scientific Reports. 8(1). 14779–14779. 127 indexed citations
13.
Vogt, Daniel M., et al.. (2018). Ultrastrong and High‐Stroke Wireless Soft Actuators through Liquid–Gas Phase Change. Advanced Materials Technologies. 4(2). 45 indexed citations
14.
Vogt, Daniel M., Kaitlyn P. Becker, Brennan Phillips, et al.. (2018). Shipboard design and fabrication of custom 3D-printed soft robotic manipulators for the investigation of delicate deep-sea organisms. PLoS ONE. 13(8). e0200386–e0200386. 72 indexed citations
15.
Truby, Ryan L., Michael Wehner, Abigail K. Grosskopf, et al.. (2018). Soft Somatosensitive Actuators via Embedded 3D Printing. Advanced Materials. 30(15). e1706383–e1706383. 502 indexed citations breakdown →
16.
Truby, Ryan L., Michael Wehner, Abigail K. Grosskopf, et al.. (2018). Soft Robotics: Soft Somatosensitive Actuators via Embedded 3D Printing (Adv. Mater. 15/2018). Advanced Materials. 30(15). 12 indexed citations
17.
Saeed, Mossab Y., Karl Price, Isaac Wamala, et al.. (2017). Approaches to Real-Time Ventricular Wall Strain Measurement for the Control of Soft Robotic Ventricular Assist Devices. 61–62. 1 indexed citations
18.
Horvath, Markus A., Ellen T. Roche, Daniel M. Vogt, et al.. (2015). Soft Pressure Sensing Sleeve for Direct Cardiac Compression Device. 3 indexed citations
19.
Vogt, Daniel M. & Robert J. Wood. (2014). Wrist angle measurements using soft sensors. 1631–1634. 10 indexed citations
20.
Vogt, Daniel M., Yong‐Lae Park, & Robert J. Wood. (2012). A soft multi-axis force sensor. 25 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

Rankless by CCL
2026