Benjamin Long

2.1k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Benjamin Long is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Experimental and Cognitive Psychology. According to data from OpenAlex, Benjamin Long has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Human-Computer Interaction and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Benjamin Long's work include Tactile and Sensory Interactions (6 papers), Interactive and Immersive Displays (4 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Benjamin Long is often cited by papers focused on Tactile and Sensory Interactions (6 papers), Interactive and Immersive Displays (4 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Benjamin Long collaborates with scholars based in United Kingdom and Spain. Benjamin Long's co-authors include Sriram Subramanian, Sue Ann Seah, Bruce W. Drinkwater, Asier Marzo, Deepak Ranjan Sahoo, Tom Carter, Elia Gatti, Marianna Obrist, Erik Reinhard and William Frier and has published in prestigious journals such as Nature Communications, Biochemistry and ACM Transactions on Graphics.

In The Last Decade

Benjamin Long

10 papers receiving 1.4k citations

Hit Papers

Holographic acoustic elements for manipulation of levitat... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Long United Kingdom 8 732 541 365 237 222 10 1.4k
Takayuki Hoshi Japan 18 572 0.8× 568 1.0× 506 1.4× 78 0.3× 273 1.2× 76 1.4k
Akio Yamamoto Japan 23 779 1.1× 633 1.2× 405 1.1× 175 0.7× 520 2.3× 187 2.0k
Diego Martínez Plasencia United Kingdom 16 340 0.5× 294 0.5× 399 1.1× 89 0.4× 117 0.5× 64 929
Petr Kellnhofer Germany 10 802 1.1× 681 1.3× 801 2.2× 281 1.2× 87 0.4× 25 2.1k
Tomomasa Sato Japan 21 439 0.6× 117 0.2× 182 0.5× 266 1.1× 204 0.9× 173 1.4k
Jin‐Chern Chiou Taiwan 23 605 0.8× 320 0.6× 78 0.2× 140 0.6× 178 0.8× 164 1.8k
Moustapha Hafez France 16 429 0.6× 466 0.9× 310 0.8× 69 0.3× 323 1.5× 56 1.1k
Asier Marzo Spain 24 2.2k 3.1× 296 0.5× 350 1.0× 654 2.8× 251 1.1× 86 3.0k
Yasutoshi Makino Japan 17 329 0.4× 600 1.1× 504 1.4× 33 0.1× 213 1.0× 142 1.1k

Countries citing papers authored by Benjamin Long

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Long

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Long. A scholar is included among the top collaborators of Benjamin Long 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 Benjamin Long. Benjamin Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Malkin, Robert, et al.. (2023). On the non-linear behaviour of ultrasonic air-borne phased arrays. Journal of Sound and Vibration. 552. 117644–117644. 6 indexed citations
2.
Beattie, David, William Frier, Orestis Georgiou, Benjamin Long, & Damien Ablart. (2020). Incorporating the Perception of Visual Roughness into the Design of Mid-Air Haptic Textures. Zenodo (CERN European Organization for Nuclear Research). 1–10. 21 indexed citations
3.
Freeman, Euan, et al.. (2019). Three-in-one. Chalmers Research (Chalmers University of Technology). 1–4. 6 indexed citations
4.
Long, Benjamin, et al.. (2018). Fibonacci Spiral Arranged Ultrasound Phased Array for Mid-Air Haptics. Zenodo (CERN European Organization for Nuclear Research). 5. 1–4. 18 indexed citations
5.
Marzo, Asier, Sue Ann Seah, Bruce W. Drinkwater, et al.. (2015). Holographic acoustic elements for manipulation of levitated objects. Nature Communications. 6(1). 8661–8661. 689 indexed citations breakdown →
6.
Obrist, Marianna, et al.. (2015). Emotions Mediated Through Mid-Air Haptics. 2053–2062. 110 indexed citations
7.
Long, Benjamin, Sue Ann Seah, Tom Carter, & Sriram Subramanian. (2014). Rendering volumetric haptic shapes in mid-air using ultrasound. ACM Transactions on Graphics. 33(6). 1–10. 185 indexed citations
8.
Carter, Tom, Sue Ann Seah, Benjamin Long, Bruce W. Drinkwater, & Sriram Subramanian. (2013). UltraHaptics. Bristol Research (University of Bristol). 505–514. 333 indexed citations
9.
Woods, Christopher, Maturos Malaisree, Benjamin Long, Simon McIntosh‐Smith, & Adrian J. Mulholland. (2013). Analysis and Assay of Oseltamivir-Resistant Mutants of Influenza Neuraminidase via Direct Observation of Drug Unbinding and Rebinding in Simulation. Biochemistry. 52(45). 8150–8164. 21 indexed citations
10.
Long, Benjamin & Erik Reinhard. (2009). Real-time fluid simulation using discrete sine/cosine transforms. 99–106. 26 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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