Edward Grant

1.6k total citations · 1 hit paper
30 papers, 939 citations indexed

About

Edward Grant is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Edward Grant has authored 30 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 4 papers in Mechanical Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Edward Grant's work include Neural Networks and Applications (10 papers), Fuzzy Logic and Control Systems (9 papers) and Evolutionary Algorithms and Applications (8 papers). Edward Grant is often cited by papers focused on Neural Networks and Applications (10 papers), Fuzzy Logic and Control Systems (9 papers) and Evolutionary Algorithms and Applications (8 papers). Edward Grant collaborates with scholars based in United Kingdom, United States and Poland. Edward Grant's co-authors include Leonard Wossnig, Jules Tilly, Hongxiang Chen, Shuxiang Cao, Marcello Benedetti, Jonathan Tennyson, Kanav Setia, Ying Li, Ivan Rungger and George H. Booth and has published in prestigious journals such as Physics Reports, New Journal of Physics and Robotics and Autonomous Systems.

In The Last Decade

Edward Grant

26 papers receiving 902 citations

Hit Papers

The Variational Quantum Eigensolver: A review of methods ... 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Grant United Kingdom 10 803 404 160 63 52 30 939
Leonard Wossnig United Kingdom 9 1.0k 1.3× 459 1.1× 245 1.5× 93 1.5× 57 1.1× 15 1.2k
Sukin Sim United States 6 917 1.1× 489 1.2× 166 1.0× 91 1.4× 43 0.8× 11 1.0k
Iris Cong United States 9 931 1.2× 412 1.0× 193 1.2× 141 2.2× 56 1.1× 10 1.1k
Hermanni Heimonen Singapore 5 888 1.1× 492 1.2× 153 1.0× 84 1.3× 37 0.7× 6 1.0k
Abhinav Anand Canada 6 916 1.1× 474 1.2× 169 1.1× 93 1.5× 47 0.9× 12 1.0k
Alba Cervera-Lierta Canada 8 1.1k 1.3× 567 1.4× 185 1.2× 109 1.7× 80 1.5× 11 1.3k
D. Wecker United States 4 804 1.0× 443 1.1× 165 1.0× 88 1.4× 43 0.8× 7 938
Thi Ha Kyaw Singapore 10 1.1k 1.4× 669 1.7× 167 1.0× 99 1.6× 38 0.7× 20 1.2k
Kunal Sharma United States 13 1.1k 1.3× 460 1.1× 168 1.1× 109 1.7× 54 1.0× 33 1.2k
Wai‐Keong Mok Singapore 7 949 1.2× 541 1.3× 156 1.0× 103 1.6× 33 0.6× 17 1.1k

Countries citing papers authored by Edward Grant

Since Specialization
Citations

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

Fields of papers citing papers by Edward Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Grant. A scholar is included among the top collaborators of Edward Grant 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 Edward Grant. Edward Grant 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.
Tilly, Jules, Hongxiang Chen, Shuxiang Cao, et al.. (2022). The Variational Quantum Eigensolver: A review of methods and best practices. Physics Reports. 986. 1–128. 552 indexed citations breakdown →
2.
Grant, Edward, et al.. (2021). Structure optimization for parameterized quantum circuits. Quantum. 5. 391–391. 124 indexed citations
3.
Tilly, Jules, Glenn Jones, Hongxiang Chen, Leonard Wossnig, & Edward Grant. (2020). Computation of molecular excited states on IBM quantum computers using a discriminative variational quantum eigensolver. Physical review. A. 102(6). 23 indexed citations
4.
Cao, Shuxiang, Leonard Wossnig, Brian Vlastakis, Peter Leek, & Edward Grant. (2020). Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits. Physical review. A. 101(5). 19 indexed citations
5.
Benedetti, Marcello, Edward Grant, Leonard Wossnig, & Simone Severini. (2019). Adversarial quantum circuit learning for pure state approximation. New Journal of Physics. 21(4). 43023–43023. 50 indexed citations
6.
Lee, Gordon K. & Edward Grant. (2007). Adaptive Neural Network Fuzzy Inference Controller Using Predictive Evolutionary Tuning.. World Congress on Engineering. 87–92.
7.
Grant, Edward, et al.. (2007). Adaptive Fuzzy Inference for Edge Detection Using Compander Functions.. Computers and Their Applications. 107–111.
8.
Nelson, Andrew & Edward Grant. (2006). Using direct competition to select for competent controllers in evolutionary robotics. Robotics and Autonomous Systems. 54(10). 840–857. 9 indexed citations
9.
Grant, Edward, et al.. (2005). An Adaptive Fuzzy Inference Fitness Function for Evolutionary Robot Learning.. 316–321. 2 indexed citations
10.
Grant, Edward, et al.. (2005). Neural network based reinforced learning. 856–861.
11.
Barlow, Gregory J., Chamteut Oh, & Edward Grant. (2005). Incremental evolution of autonomous controllers for unmanned aerial vehicles using multi-objective genetic programming. 2. 689–694. 33 indexed citations
12.
Grant, Edward, et al.. (2004). Tuning an Adaptive Neural Network Fuzzy Inference Controller Using Evolutionary Learning.. 13–16. 3 indexed citations
13.
Zhang, Bing & Edward Grant. (2003). Using competitive learning for state-space partitioning. 1. 391–396. 2 indexed citations
14.
Galeotti, John, et al.. (2002). EvBots - The Design and Construction of a Mobile Robot Colony for Conducting Evolutionary Robotic Experiments.. 86–91. 9 indexed citations
15.
Nelson, Andrew, Edward Grant, & Gordon K. Lee. (2002). Using Genetic Algorithms to Capture Behavioral Traits Exhibited by Knowledge Based Robot Agents. 92–97. 3 indexed citations
16.
Nelson, Andrew, Edward Grant, & Thomas C. Henderson. (2002). Competitive relative performance evaluation of neural controllers for competitive game playing with teams of real mobile robots. 7 indexed citations
17.
Grant, Edward, et al.. (2001). A Generalized Adaptive Neural Network Fuzzy Inference Structure for Nonlinear Control.. 28(2). 258–261. 4 indexed citations
18.
Miller, D.O. & Edward Grant. (1994). A robotic wheelchair. 2 indexed citations
19.
Grant, Edward, et al.. (1991). The learned control of complex dynamic systems. 1022–1027. 2 indexed citations
20.
Grant, Edward, et al.. (1990). Experiments in adaptive rule-based control. 1. 563–568. 4 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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