Sam Kassegne

1.2k total citations
53 papers, 922 citations indexed

About

Sam Kassegne is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sam Kassegne has authored 53 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 23 papers in Cellular and Molecular Neuroscience and 21 papers in Biomedical Engineering. Recurrent topics in Sam Kassegne's work include Neuroscience and Neural Engineering (21 papers), Conducting polymers and applications (19 papers) and EEG and Brain-Computer Interfaces (7 papers). Sam Kassegne is often cited by papers focused on Neuroscience and Neural Engineering (21 papers), Conducting polymers and applications (19 papers) and EEG and Brain-Computer Interfaces (7 papers). Sam Kassegne collaborates with scholars based in United States, Italy and Canada. Sam Kassegne's co-authors include Elisa Castagnola, Maria Vomero, Davide Ricci, Luciano Fadiga, Noah Goshi, Stefano Carli, Elena Zucchini, Emma Maggiolini, Ajit Khosla and J. N. Reddy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of The Electrochemical Society.

In The Last Decade

Sam Kassegne

52 papers receiving 899 citations

Peers

Sam Kassegne

CMN

EEE

Hsuan‐Chen Wu United States

Kewang Nan United States

John A. Rogers United States

Muhammad Asad Ullah Khalid South Korea

Onnop Srivannavit United States

Akihiro Shibata Japan

Darren W. Branch United States

Zhitao Zhou China

Sanghyuk Yoon South Korea

Leila F. Deravi United States

Hsuan‐Chen Wu United States

Sam Kassegne

269 ×0.7

CMN

250 ×0.8

EEE

765 ×2.4

95 ×0.4

88 ×0.7

Citations per year, relative to Sam Kassegne Sam Kassegne (= 1×) peers Hsuan‐Chen Wu

Countries citing papers authored by Sam Kassegne

Since Specialization

Citations

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

Fields of papers citing papers by Sam Kassegne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Kassegne

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

Keller, Stephan Sylvest, et al.. (2024). Indirect Voltammetry Detection of Non-Electroactive Neurotransmitters Using Glassy Carbon Microelectrodes: The Case of Glutamate. SHILAP Revista de lepidopterología. 10(3). 68–68.

Kassegne, Sam, et al.. (2024). Minimization of melt-pool field variables fluctuation during selective laser melting of Ti6Al4V alloy through computational investigation. Modelling and Simulation in Materials Science and Engineering. 33(1). 15002–15002. 1 indexed citations

Kassegne, Sam, et al.. (2024). Insights into molecular and bulk mechanical properties of glassy carbon through molecular dynamics simulations and mechanical tensile testing. Journal of Micromechanics and Microengineering. 34(8). 85001–85001. 2 indexed citations

Yang, Shize, et al.. (2022). Carbon allotropes form a hybrid material: Synthesis, characterization, and molecular dynamics simulation of novel graphene-glassy carbon hybrid material. Carbon. 196. 1012–1023. 7 indexed citations

Whulanza, Yudan, et al.. (2022). On-chip testing of a carbon-based platform for electro-adsorption of glutamate. Heliyon. 8(5). e09445–e09445. 5 indexed citations

Samejima, Soshi, et al.. (2022). Glassy Carbon Neural Interface for Chronic Epidural Stimulation in Rats With Cervical Spinal Cord Injury. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 620–627. 2 indexed citations

Kassegne, Sam, et al.. (2021). Effects of RF Magnetron Sputtering Deposition Power on Crystallinity and Thermoelectric Properties of Antimony Telluride and Bismuth Telluride Thin Films on Flexible Substrates. Journal of Electronic Materials. 50(4). 2190–2198. 10 indexed citations

Kassegne, Sam, et al.. (2021). Molecular dynamics simulation of evolution of nanostructures and functional groups in glassy carbon under pyrolysis. Carbon. 184. 627–640. 19 indexed citations

Samejima, Soshi, et al.. (2021). Graphene on glassy carbon microelectrodes demonstrate long-term structural and functional stability in neurophysiological recording and stimulation. Journal of Neural Engineering. 18(5). 56035–56035. 9 indexed citations

10.

Devi, Mamta, Maria Vomero, Elisa Castagnola, et al.. (2021). Carbon-based neural electrodes: promises and challenges. Journal of Neural Engineering. 18(4). 41007–41007. 54 indexed citations

11.

Castagnola, Elisa, et al.. (2020). Epi-Intra neural probes with glassy carbon microelectrodes help elucidate neural coding and stimulus encoding in 3D volume of tissue. Journal of Neural Engineering. 17(4). 46005–46005. 12 indexed citations

12.

Kassegne, Sam, et al.. (2019). Microfabrication of multi-layer glassy carbon microstructures through dye-doped negative photoresists. Journal of Micromechanics and Microengineering. 29(12). 125012–125012. 2 indexed citations

13.

Silva, Pedro, et al.. (2019). Glassy carbon microelectrodes minimize induced voltages, mechanical vibrations, and artifacts in magnetic resonance imaging. Microsystems & Nanoengineering. 5(1). 61–61. 22 indexed citations

14.

Castagnola, Elisa, Alice Scarpellini, Soshi Samejima, et al.. (2018). Ultra-Capacitive Carbon Neural Probe Allows Simultaneous Long-Term Electrical Stimulations and High-Resolution Neurotransmitter Detection. Scientific Reports. 8(1). 6958–6958. 66 indexed citations

15.

Castagnola, Elisa, Marvin Thielk, Elena Zucchini, et al.. (2018). In Vivo Dopamine Detection and Single Unit Recordings Using Intracortical Glassy Carbon Microelectrode Arrays. MRS Advances. 3(29). 1629–1634. 30 indexed citations

16.

Vomero, Maria, Elisa Castagnola, Francesca Ciarpella, et al.. (2017). Highly Stable Glassy Carbon Interfaces for Long-Term Neural Stimulation and Low-Noise Recording of Brain Activity. Scientific Reports. 7(1). 40332–40332. 123 indexed citations

17.

Kassegne, Sam, et al.. (2014). Electrical impedance, electrochemistry, mechanical stiffness, and hardness tunability in glassy carbon MEMS μECoG electrodes. Microelectronic Engineering. 133. 36–44. 34 indexed citations

18.

Ramesh, Varsha, et al.. (2013). Bionanoelectronics Platform with DNA Molecular Wires Attached to High Aspect-Ratio 3D Metal Microelectrodes. ECS Journal of Solid State Science and Technology. 3(3). Q29–Q36. 14 indexed citations

19.

Kassegne, Sam, Kee S. Moon, Pablo Martín‐Ramos, et al.. (2012). Organic MEMS/NEMS-based high-efficiency 3D ITO-less flexible photovoltaic cells. Journal of Micromechanics and Microengineering. 22(11). 115015–115015. 9 indexed citations

20.

Frank, Michael, Kee S. Moon, & Sam Kassegne. (2010). A PMMA coated PMN–PT single crystal resonator for sensing chemical agents. Smart Materials and Structures. 19(3). 35015–35015. 11 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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