Tom Larkworthy

511 total citations
11 papers, 431 citations indexed

About

Tom Larkworthy is a scholar working on Ocean Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Tom Larkworthy has authored 11 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ocean Engineering, 4 papers in Mechanical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Tom Larkworthy's work include Underwater Vehicles and Communication Systems (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotics and Sensor-Based Localization (3 papers). Tom Larkworthy is often cited by papers focused on Underwater Vehicles and Communication Systems (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotics and Sensor-Based Localization (3 papers). Tom Larkworthy collaborates with scholars based in United Kingdom, Greece and Italy. Tom Larkworthy's co-authors include Maria Fox, Daniele Magazzeni, Derek Long, Michael Cashmore, Michael Cashmore, Subramanian Ramamoorthy, Kostas J. Kyriakopoulos, Gillian R. Hayes, David M. Lane and Francesco Maurelli and has published in prestigious journals such as Robotica, 2013 OCEANS - San Diego and IFAC Proceedings Volumes.

In The Last Decade

Tom Larkworthy

11 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Larkworthy United Kingdom	7	127	121	120	83	78	11	431
Michael Cashmore United Kingdom	5	167 1.3×	112 0.9×	168 1.4×	102 1.2×	76 1.0×	12	531
Aolei Yang China	14	155 1.2×	191 1.6×	180 1.5×	159 1.9×	66 0.8×	61	653
Luciano Nava‐Balanzar Mexico	6	144 1.1×	119 1.0×	71 0.6×	59 0.7×	50 0.6×	12	360
Ling Chen China	17	122 1.0×	175 1.4×	211 1.8×	178 2.1×	61 0.8×	62	619
Mohd Zamzuri Ab Rashid Malaysia	10	134 1.1×	104 0.9×	75 0.6×	49 0.6×	64 0.8×	50	377
Yoji KURODA Japan	10	123 1.0×	48 0.4×	185 1.5×	148 1.8×	98 1.3×	70	422
Hanguen Kim South Korea	12	46 0.4×	197 1.6×	221 1.8×	69 0.8×	32 0.4×	23	470
Javier Pérez Spain	11	66 0.5×	186 1.5×	177 1.5×	167 2.0×	25 0.3×	23	387
Daxiong Ji China	12	239 1.9×	385 3.2×	122 1.0×	167 2.0×	46 0.6×	59	706
P.J. Probert United Kingdom	11	94 0.7×	70 0.6×	217 1.8×	174 2.1×	32 0.4×	48	430

Countries citing papers authored by Tom Larkworthy

Since Specialization

Citations

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

Fields of papers citing papers by Tom Larkworthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Larkworthy

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

All Works

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11 of 11 papers shown

1.

Cashmore, Michael, Maria Fox, Tom Larkworthy, Derek Long, & Daniele Magazzeni. (2014). Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2014). 229 indexed citations

2.

Cashmore, Michael, Maria Fox, Tom Larkworthy, Derek Long, & Daniele Magazzeni. (2014). AUV mission control via temporal planning. 6535–6541. 48 indexed citations

3.

Cashmore, Michael, Maria Fox, Tom Larkworthy, Derek Long, & Daniele Magazzeni. (2013). Planning inspection tasks for AUVs. 2013 OCEANS - San Diego. 1–8. 10 indexed citations

4.

Maurelli, Francesco, Tom Larkworthy, David M. Lane, et al.. (2013). Pose-based and velocity-based approaches to autonomous inspection of subsea structures. 1–5. 1 indexed citations

5.

Maurelli, Francesco, et al.. (2013). Probabilistic approaches in ontologies: Joining semantics and uncertainty for AUV persistent autonomy. 1–6. 5 indexed citations

6.

Karras, George C., et al.. (2013). A robust sonar servo control scheme for wall-following using an autonomous underwater vehicle. 3893–3898. 7 indexed citations

7.

Cashmore, Michael, Maria Fox, Tom Larkworthy, Derek Long, & Daniele Magazzeni. (2013). Proceedings of OCEANS'13 MTS/IEEE. 102 indexed citations

8.

Lane, David M., Francesco Maurelli, Tom Larkworthy, et al.. (2012). PANDORA: Persistent Autonomy through Learning, Adaptation, Observation and Re-planning. IFAC Proceedings Volumes. 45(5). 367–372. 9 indexed citations

9.

Larkworthy, Tom & Subramanian Ramamoorthy. (2011). A characterization of the reconfiguration space of self-reconfiguring robotic systems. Robotica. 29(1). 73–85. 1 indexed citations

10.

Larkworthy, Tom & Subramanian Ramamoorthy. (2010). An efficient algorithm for self-reconfiguration planning in a modular robot. 5139–5146. 14 indexed citations

11.

Larkworthy, Tom & Gillian R. Hayes. (2009). Utilizing Redundancy in Modular Robots to Achieve Greater Accuracy. 5 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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