Hugh G. Manning

990 total citations · 1 hit paper
17 papers, 783 citations indexed

About

Hugh G. Manning is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hugh G. Manning has authored 17 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 9 papers in Biomedical Engineering and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hugh G. Manning's work include Advanced Memory and Neural Computing (9 papers), Nanomaterials and Printing Technologies (7 papers) and Neuroscience and Neural Engineering (5 papers). Hugh G. Manning is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Nanomaterials and Printing Technologies (7 papers) and Neuroscience and Neural Engineering (5 papers). Hugh G. Manning collaborates with scholars based in Ireland, Canada and United States. Hugh G. Manning's co-authors include John J. Boland, M. S. Ferreira, C. G. Rocha, Allen T. Bellew, Colin O’Callaghan, Subhajit Biswas, Justin D. Holmes, Keerthi M. Nair, Vignesh Kumaravel and Nigel S. Leyland and has published in prestigious journals such as Nature Communications, ACS Nano and Applied Physics Letters.

In The Last Decade

Hugh G. Manning

17 papers receiving 775 citations

Hit Papers

Antimicrobial TiO2 nanocomposite coatings for surfaces, d... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugh G. Manning Ireland 12 527 320 243 126 92 17 783
Amir Taqieddin United States 11 574 1.1× 564 1.8× 418 1.7× 118 0.9× 40 0.4× 17 1.2k
Dong Keun Lee South Korea 16 545 1.0× 102 0.3× 388 1.6× 126 1.0× 34 0.4× 42 832
Ertao Hu China 21 761 1.4× 197 0.6× 532 2.2× 116 0.9× 42 0.5× 78 1.1k
Syed Ghazi Sarwat Switzerland 17 445 0.8× 67 0.2× 400 1.6× 78 0.6× 38 0.4× 35 750
Yaohua Yang China 16 325 0.6× 94 0.3× 267 1.1× 86 0.7× 22 0.2× 26 557
Ruiqiang Tao China 17 725 1.4× 198 0.6× 321 1.3× 77 0.6× 27 0.3× 54 828
Gaokuo Zhong China 19 566 1.1× 268 0.8× 594 2.4× 123 1.0× 33 0.4× 58 1.0k
Woongchan Lee South Korea 6 412 0.8× 488 1.5× 263 1.1× 72 0.6× 82 0.9× 8 797
Han Wook Song South Korea 16 401 0.8× 279 0.9× 256 1.1× 39 0.3× 56 0.6× 60 711

Countries citing papers authored by Hugh G. Manning

Since Specialization
Citations

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

Fields of papers citing papers by Hugh G. Manning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugh G. Manning. 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 Hugh G. Manning. The network helps show where Hugh G. Manning may publish in the future.

Co-authorship network of co-authors of Hugh G. Manning

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

All Works

17 of 17 papers shown
1.
Manning, Hugh G., et al.. (2023). Thermo-electro-optical properties of seamless metallic nanowire networks for transparent conductor applications. Nanoscale. 15(24). 10394–10411. 5 indexed citations
2.
Biswas, Subhajit, Hugh G. Manning, Michele Conroy, et al.. (2021). Stretching the Equilibrium Limit of Sn in Ge1–xSnx Nanowires: Implications for Field Effect Transistors. ACS Applied Nano Materials. 4(2). 1048–1056. 7 indexed citations
3.
Kumaravel, Vignesh, Keerthi M. Nair, Snehamol Mathew, et al.. (2021). Antimicrobial TiO2 nanocomposite coatings for surfaces, dental and orthopaedic implants. Chemical Engineering Journal. 416. 129071–129071. 183 indexed citations breakdown →
4.
Manning, Hugh G., et al.. (2021). Tuning the electro-optical properties of nanowire networks. Nanoscale. 13(36). 15369–15379. 9 indexed citations
5.
Bhattacharjee, Shubhadeep, et al.. (2020). Emulating synaptic response in n- and p-channel MoS2 transistors by utilizing charge trapping dynamics. Scientific Reports. 10(1). 12178–12178. 23 indexed citations
6.
Manning, Hugh G., Subhajit Biswas, Nikolay Petkov, et al.. (2020). Crystallographically Controlled Synthesis of SnSe Nanowires: Potential in Resistive Memory Devices. Advanced Materials Interfaces. 7(16). 22 indexed citations
7.
Manning, Hugh G., Patrick F. Flowers, Mutya A. Cruz, et al.. (2020). The resistance of Cu nanowire–nanowire junctions and electro-optical modeling of Cu nanowire networks. Applied Physics Letters. 116(25). 11 indexed citations
8.
Manning, Hugh G., et al.. (2019). The Electro-Optical Performance of Silver Nanowire Networks. Scientific Reports. 9(1). 11550–11550. 22 indexed citations
9.
Zheng, Jian-Yao, Hugh G. Manning, Yanhui Zhang, et al.. (2019). Synthesis of centimeter-size free-standing perovskite nanosheets from single-crystal lead bromide for optoelectronic devices. Scientific Reports. 9(1). 11738–11738. 12 indexed citations
10.
Manning, Hugh G., C. G. Rocha, Allen T. Bellew, et al.. (2018). Emergence of winner-takes-all connectivity paths in random nanowire networks. Nature Communications. 9(1). 3219–3219. 100 indexed citations
11.
Manning, Hugh G., et al.. (2018). Neuromorphic- Inspired Behaviour in Core-Shell Nanowire Networks. Cork Open Research Archive (University College Cork). 1–2. 1 indexed citations
12.
O’Callaghan, Colin, et al.. (2018). Collective capacitive and memristive responses in random nanowire networks: Emergence of critical connectivity pathways. Journal of Applied Physics. 124(15). 26 indexed citations
13.
Manning, Hugh G., Subhajit Biswas, Justin D. Holmes, & John J. Boland. (2017). Nonpolar Resistive Switching in Ag@TiO2 Core–Shell Nanowires. ACS Applied Materials & Interfaces. 9(44). 38959–38966. 47 indexed citations
14.
O’Callaghan, Colin, C. G. Rocha, Hugh G. Manning, John J. Boland, & M. S. Ferreira. (2016). Effective medium theory for the conductivity of disordered metallic nanowire networks. Physical Chemistry Chemical Physics. 18(39). 27564–27571. 51 indexed citations
15.
Fairfield, Jessamyn A., et al.. (2016). Associative Enhancement of Time Correlated Response to Heterogeneous Stimuli in a Neuromorphic Nanowire Device. Advanced Electronic Materials. 2(6). 41 indexed citations
16.
Rocha, C. G., Hugh G. Manning, Colin O’Callaghan, et al.. (2015). Ultimate conductivity performance in metallic nanowire networks. Nanoscale. 7(30). 13011–13016. 59 indexed citations
17.
Bellew, Allen T., Hugh G. Manning, C. G. Rocha, M. S. Ferreira, & John J. Boland. (2015). Resistance of Single Ag Nanowire Junctions and Their Role in the Conductivity of Nanowire Networks. ACS Nano. 9(11). 11422–11429. 164 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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