Martin A. Trefzer

704 total citations
72 papers, 342 citations indexed

About

Martin A. Trefzer is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Martin A. Trefzer has authored 72 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 40 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Martin A. Trefzer's work include Evolutionary Algorithms and Applications (28 papers), Advanced Memory and Neural Computing (16 papers) and VLSI and FPGA Design Techniques (16 papers). Martin A. Trefzer is often cited by papers focused on Evolutionary Algorithms and Applications (28 papers), Advanced Memory and Neural Computing (16 papers) and VLSI and FPGA Design Techniques (16 papers). Martin A. Trefzer collaborates with scholars based in United Kingdom, Germany and Japan. Martin A. Trefzer's co-authors include Andy M. Tyrrell, Susan Stepney, James Alfred Walker, Julian F. Miller, Simon O’Keefe, Steven Johnson, Katherine E. Dunn, Angelika Sebald, Johannes Schemmel and Karlheinz Meier and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Martin A. Trefzer

63 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin A. Trefzer United Kingdom	10	200	184	67	53	39	72	342
Advait Madhavan United States	12	383 1.9×	144 0.8×	38 0.6×	37 0.7×	37 0.9×	37	483
T. Daud United States	9	244 1.2×	184 1.0×	26 0.4×	22 0.4×	21 0.5×	38	394
Debjyoti Bhattacharjee Singapore	13	389 1.9×	116 0.6×	89 1.3×	23 0.4×	13 0.3×	41	599
Anni Lu United States	14	667 3.3×	152 0.8×	62 0.9×	26 0.5×	24 0.6×	36	792
Xiaoyong Xue China	15	587 2.9×	80 0.4×	123 1.8×	15 0.3×	20 0.5×	86	716
Siyan Lin China	7	348 1.7×	57 0.3×	66 1.0×	12 0.2×	70 1.8×	19	432
Gunnar Tufte Norway	12	153 0.8×	338 1.8×	11 0.2×	97 1.8×	69 1.8×	54	483
Chuan-Jia Jhang Taiwan	9	593 3.0×	118 0.6×	85 1.3×	9 0.2×	16 0.4×	14	649
Wenqin Huangfu United States	9	470 2.4×	137 0.7×	62 0.9×	62 1.2×	27 0.7×	14	564
Je-Min Hung Taiwan	12	744 3.7×	138 0.8×	123 1.8×	10 0.2×	17 0.4×	15	815

Countries citing papers authored by Martin A. Trefzer

Since Specialization

Citations

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

Fields of papers citing papers by Martin A. Trefzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Trefzer. 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 Martin A. Trefzer. The network helps show where Martin A. Trefzer may publish in the future.

Co-authorship network of co-authors of Martin A. Trefzer

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Trefzer. A scholar is included among the top collaborators of Martin A. Trefzer 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 Martin A. Trefzer. Martin A. Trefzer 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

Trefzer, Martin A., et al.. (2025). Reservoir computing benchmarks: a tutorial review and critique. International Journal of Parallel Emergent and Distributed Systems. 40(4). 313–351. 2 indexed citations

Stepney, Susan, et al.. (2024). Modelling and evaluating restricted ESNs on single- and multi-timescale problems. Natural Computing. 24(1). 149–161.

Stepney, Susan, et al.. (2024). Creating Network Motifs with Developmental Graph Cellular Automata. 1 indexed citations

Trefzer, Martin A., et al.. (2023). Multi‐objective digital circuit block optimisation based on cell mapping in an industrial electronic design automation flow. IET Computers & Digital Techniques. 17(3-4). 180–194.

Allwood, D. A., Matthew O. A. Ellis, Thomas J. Hayward, et al.. (2023). A perspective on physical reservoir computing with nanomagnetic devices. Applied Physics Letters. 122(4). 45 indexed citations

Walter, Andrew, Shimeng Wu, Andy M. Tyrrell, et al.. (2023). Artificial Neural Microcircuits for use in Neuromorphic System Design.

Turner, Alexander P., Andy M. Tyrrell, Martin A. Trefzer, & Michael A. Lones. (2018). Evolutionary acquisition of complex traits in artificial epigenetic networks. Biosystems. 176. 17–26.

Dunn, Katherine E., Mark C. Leake, Adam J. M. Wollman, et al.. (2017). An experimental study of the putative mechanism of a synthetic autonomous rotary DNA nanomotor. Royal Society Open Science. 4(3). 160767–160767. 2 indexed citations

Stepney, Susan, et al.. (2017). Reservoir computing in materio: A computational framework for in materio computing. 2178–2185. 9 indexed citations

10.

Dunn, Katherine E., Martin A. Trefzer, Steven Johnson, & Andy M. Tyrrell. (2016). Investigating the dynamics of surface-immobilized DNA nanomachines. Scientific Reports. 6(1). 29581–29581. 19 indexed citations

11.

Dunn, Katherine E., Martin A. Trefzer, Steven Johnson, & Andy M. Tyrrell. (2016). Assessing the potential of surface-immobilized molecular logic machines for integration with solid state technology. Biosystems. 146. 3–9. 3 indexed citations

12.

Turner, Alexander P., Michael A. Lones, Martin A. Trefzer, et al.. (2016). Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. Biosystems. 146. 35–42. 3 indexed citations

13.

Tyrrell, Andy M., et al.. (2016). Hardware implementation of Social-Insect-Inspired Adaptive many-core task allocation. 1–8. 1 indexed citations

14.

Trefzer, Martin A., et al.. (2016). XL-STaGe: A cross-layer scalable tool for graph generation, evaluation and implementation. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 354–359. 5 indexed citations

15.

Tyrrell, Andy M., et al.. (2016). Social-insect-inspired adaptive task allocation for many-core systems. 140. 911–918. 3 indexed citations

16.

Trefzer, Martin A. & Andy M. Tyrrell. (2014). Improved fault-tolerance through dynamic modular redundancy (DMR) on the RISA FPGA platform. 39–46. 5 indexed citations

17.

Trefzer, Martin A., et al.. (2009). On the properties of artificial development and its use in evolvable hardware. 108–115. 7 indexed citations

18.

Trefzer, Martin A., et al.. (2004). New genetic operators to facilitate understanding of evolved transistor circuits. 217–224. 4 indexed citations

19.

Meier, Karlheinz, et al.. (2004). Intrinsic evolution of digital-to-analog converters using a CMOS FPTA chip. 18–25. 8 indexed citations

20.

Orlic, Susanna, et al.. (2002). Optical storage in photopolymers using 3D microgratings. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4459. 323–323. 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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