Asher Bender

661 total citations
23 papers, 435 citations indexed

About

Asher Bender is a scholar working on Plant Science, Ocean Engineering and Automotive Engineering. According to data from OpenAlex, Asher Bender has authored 23 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Ocean Engineering and 4 papers in Automotive Engineering. Recurrent topics in Asher Bender's work include Smart Agriculture and AI (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Underwater Vehicles and Communication Systems (4 papers). Asher Bender is often cited by papers focused on Smart Agriculture and AI (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Underwater Vehicles and Communication Systems (4 papers). Asher Bender collaborates with scholars based in Australia, United States and Denmark. Asher Bender's co-authors include James Ward, E. Nebot, Stewart Worrall, Gabriel Agamennoni, Salah Sukkarieh, Brett Whelan, Oscar Pizarro, Stefan B. Williams, Michael Walsh and Anders Krogh Mortensen and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Asher Bender

21 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asher Bender Australia	11	156	134	75	65	60	23	435
Itheri Yahiaoui France	9	149 1.0×	320 2.4×	123 1.6×	45 0.7×	84 1.4×	24	647
Wenhui Zhang China	13	132 0.8×	178 1.3×	137 1.8×	18 0.3×	190 3.2×	47	747
Jian Cui China	11	68 0.4×	50 0.4×	28 0.4×	29 0.4×	104 1.7×	46	464
Feilong Yan China	14	148 0.9×	108 0.8×	10 0.1×	102 1.6×	54 0.9×	15	856
Esther Salamí Spain	11	69 0.4×	26 0.2×	24 0.3×	168 2.6×	55 0.9×	38	740
Stanley T. Birchfield United States	17	58 0.4×	74 0.6×	34 0.5×	15 0.2×	27 0.5×	34	689
Matthew Coombes United Kingdom	15	271 1.7×	64 0.5×	15 0.2×	210 3.2×	217 3.6×	46	940
Eduard Clotet Spain	13	61 0.4×	24 0.2×	20 0.3×	29 0.4×	149 2.5×	35	482

Countries citing papers authored by Asher Bender

Since Specialization

Citations

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

Fields of papers citing papers by Asher Bender

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asher Bender

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

All Works

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20 of 20 papers shown

Colaço, André Freitas, B. M. Whelan, R. G. V. Bramley, et al.. (2024). Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation. Precision Agriculture. 25(2). 983–1013. 5 indexed citations

Hu, Kun, Zhiyong Wang, Guy Coleman, et al.. (2023). Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review. Precision Agriculture. 25(1). 1–29. 30 indexed citations

Coleman, Guy, Asher Bender, Michael Walsh, & Paul Neve. (2023). Image‐based weed recognition and control: Can it select for crop mimicry?. Weed Research. 63(2). 77–82. 4 indexed citations

Coleman, Guy, Asher Bender, Kun Hu, et al.. (2022). Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems. Weed Technology. 36(6). 741–757. 35 indexed citations

Richetti, Jonathan, et al.. (2021). A Methods Guideline for Deep Learning for Tabular Data in Agriculture with a Case Study to Forecast Cereal Yield. SSRN Electronic Journal.

Bender, Asher, Brett Whelan, & Salah Sukkarieh. (2019). A high‐resolution, multimodal data set for agricultural robotics: A Ladybird's‐eye view of Brassica. Journal of Field Robotics. 37(1). 73–96. 44 indexed citations

Mortensen, Anders Krogh, Asher Bender, Brett Whelan, et al.. (2018). Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation. Computers and Electronics in Agriculture. 154. 373–381. 54 indexed citations

Su, Daobilige, Asher Bender, & Salah Sukkarieh. (2018). Improved Cross-Ratio Invariant-Based Intrinsic Calibration of A Hyperspectral Line-Scan Camera. Sensors. 18(6). 1885–1885. 11 indexed citations

Rao, Dushyant, Asher Bender, Stefan B. Williams, & Oscar Pizarro. (2016). Multimodal information-theoretic measures for autonomous exploration. 11. 4230–4237. 3 indexed citations

10.

Worrall, Stewart, Alex Zyner, Johan Philips, et al.. (2016). Multi-Sensor Detection of Pedestrian Position and Behaviour. Lirias (KU Leuven). 3 indexed citations

11.

Bender, Asher, et al.. (2016). A Flexible System Architecture for Acquisition and Storage of Naturalistic Driving Data. IEEE Transactions on Intelligent Transportation Systems. 17(6). 1748–1761. 10 indexed citations

12.

Philips, Johan, Alex Zyner, James Ward, et al.. (2016). Software-in-the-loop simulation as testing and visualisation framework for ITS algorithms. Lirias (KU Leuven).

13.

Bender, Asher, Gabriel Agamennoni, James Ward, Stewart Worrall, & E. Nebot. (2015). An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data. IEEE Transactions on Intelligent Transportation Systems. 16(6). 3325–3336. 55 indexed citations

14.

Worrall, Stewart, James Ward, Asher Bender, & E. Nebot. (2015). GPS/GNSS Consistency in a Multi-path Environment and During Signal Outages. 11. 2505–2511. 7 indexed citations

15.

Bender, Asher. (2013). Autonomous Exploration of Large-Scale Natural Environments. UPT. Syiah Kuala University Library (Syiah Kuala University). 1 indexed citations

16.

Pizarro, Oscar, Stefan B. Williams, Michael V. Jakuba, et al.. (2013). Benthic monitoring with robotic platforms — The experience of Australia. 1–10. 14 indexed citations

17.

Bender, Asher, Stefan B. Williams, & Oscar Pizarro. (2013). Autonomous exploration of large-scale benthic environments. 390–396. 12 indexed citations

18.

Bender, Asher, Stefan B. Williams, & Oscar Pizarro. (2012). Classification with probabilistic targets. 5. 1780–1786. 4 indexed citations

19.

Steinberg, Daniel, Asher Bender, Ariell Friedman, et al.. (2010). Analysis of Propulsion Methods for Long-Range AUVs. Marine Technology Society Journal. 44(2). 46–55. 8 indexed citations

20.

Bender, Asher, Stefan B. Williams, Oscar Pizarro, & Michael V. Jakuba. (2010). Adaptive exploration of benthic habitats using Gaussian processes. 3. 1–10. 3 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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