Halid Mulaosmanovic

5.2k total citations · 1 hit paper
75 papers, 3.5k citations indexed

About

Halid Mulaosmanovic is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Halid Mulaosmanovic has authored 75 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Electrical and Electronic Engineering, 29 papers in Materials Chemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Halid Mulaosmanovic's work include Ferroelectric and Negative Capacitance Devices (70 papers), Semiconductor materials and devices (54 papers) and Advanced Memory and Neural Computing (44 papers). Halid Mulaosmanovic is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (70 papers), Semiconductor materials and devices (54 papers) and Advanced Memory and Neural Computing (44 papers). Halid Mulaosmanovic collaborates with scholars based in Germany, United States and Italy. Halid Mulaosmanovic's co-authors include Thomas Mikolajick, Stefan Slesazeck, Evelyn T. Breyer, Johannes Müller, Uwe Schroeder, Stefan Müller, Sven Beyer, J. Ocker, Stefan Dünkel and P. Polakowski and has published in prestigious journals such as Nature Communications, Nano Letters and Applied Physics Letters.

In The Last Decade

Halid Mulaosmanovic

72 papers receiving 3.4k citations

Hit Papers

Next generation ferroelectric materials for semiconductor... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Halid Mulaosmanovic Germany 32 3.3k 1.7k 258 155 149 75 3.5k
Amritanand Sebastian United States 14 1.3k 0.4× 1.3k 0.8× 375 1.5× 165 1.1× 132 0.9× 16 2.0k
Thomas Kämpfe Germany 29 2.8k 0.9× 1.7k 1.0× 307 1.2× 62 0.4× 115 0.8× 202 3.2k
P. Polakowski Germany 22 3.4k 1.0× 2.1k 1.3× 118 0.5× 62 0.4× 80 0.5× 32 3.4k
Chao Wen China 16 1.1k 0.3× 676 0.4× 163 0.6× 239 1.5× 53 0.4× 30 1.4k
Konrad Seidel Germany 26 2.6k 0.8× 1.5k 0.9× 108 0.4× 45 0.3× 59 0.4× 135 2.7k
Jing Wan China 24 1.5k 0.5× 575 0.3× 471 1.8× 61 0.4× 66 0.4× 146 1.9k
Huaxiang Yin China 26 2.6k 0.8× 1.0k 0.6× 446 1.7× 67 0.4× 36 0.2× 231 2.8k
Jan Van Houdt Belgium 28 3.5k 1.0× 1.3k 0.8× 128 0.5× 36 0.2× 32 0.2× 302 3.6k
Jin‐Ping Han United States 16 1.4k 0.4× 887 0.5× 345 1.3× 87 0.6× 64 0.4× 38 1.7k
Huai‐Yu Cheng Taiwan 25 1.5k 0.4× 1.4k 0.8× 273 1.1× 66 0.4× 87 0.6× 69 1.7k

Countries citing papers authored by Halid Mulaosmanovic

Since Specialization
Citations

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

Fields of papers citing papers by Halid Mulaosmanovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Halid Mulaosmanovic

This figure shows the co-authorship network connecting the top 25 collaborators of Halid Mulaosmanovic. A scholar is included among the top collaborators of Halid Mulaosmanovic 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 Halid Mulaosmanovic. Halid Mulaosmanovic 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.
Luo, Yuan-Chun, et al.. (2025). Ternary Content Addressable Memory With Ferroelectric Non-Volatile Capacitor. IEEE Electron Device Letters. 46(5). 872–875. 2 indexed citations
2.
Mulaosmanovic, Halid, et al.. (2024). Origin of charges in bulk Si:HfO2 FeFET probed by nanosecond polarization measurements. Microelectronic Engineering. 296. 112284–112284.
3.
Lashkare, Sandip, Halid Mulaosmanovic, Veeresh Deshpande, et al.. (2024). Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for the TCAM, Storage, and In-Memory Computing Applications. IEEE Transactions on Electron Devices. 71(5). 2957–2962. 1 indexed citations
5.
Lashkare, Sandip, et al.. (2024). FeFET-Based MirrorBit Cell for High-Density NVM Storage. IEEE Transactions on Electron Devices. 71(4). 2380–2385. 3 indexed citations
6.
Mulaosmanovic, Halid, et al.. (2024). Reliability Assesement of Ferroelectric nvCAP for Small-Signal Capacitive Read-Out. 1–5. 5 indexed citations
8.
Dünkel, Stefan, Halid Mulaosmanovic, Johannes Müller, et al.. (2024). Charge Trapping and Endurance Degradation in Ferroelectric Field-Effect Transistors. 1–5. 1 indexed citations
9.
Mulaosmanovic, Halid, Sven Beyer, Xiao Gong, et al.. (2023). Evaluating the Robustness of Complementary Channel Ferroelectric FETs Against Total Ionizing Dose Toward Radiation-Tolerant Embedded Nonvolatile Memory. IEEE Electron Device Letters. 45(7). 1165–1168. 1 indexed citations
10.
Kim, Tae‐Hyeon, Yuan-Chun Luo, Halid Mulaosmanovic, et al.. (2023). Tunable Non-Volatile Gate-to-Source/Drain Capacitance of FeFET for Capacitive Synapse. IEEE Electron Device Letters. 44(10). 1628–1631. 31 indexed citations
11.
Mulaosmanovic, Halid, et al.. (2023). Sub-Nanosecond Switching of Si:HfO2 Ferroelectric Field-Effect Transistor. Nano Letters. 23(4). 1395–1400. 43 indexed citations
12.
Simon, Maik, Halid Mulaosmanovic, V. Sessi, et al.. (2022). Three-to-one analog signal modulation with a single back-bias-controlled reconfigurable transistor. Nature Communications. 13(1). 7042–7042. 36 indexed citations
13.
Zhao, Zijian, Shan Deng, Yi Xiao, et al.. (2022). On the Feasibility of 1T Ferroelectric FET Memory Array. IEEE Transactions on Electron Devices. 69(12). 6722–6730. 7 indexed citations
14.
Sessi, V., Maik Simon, Stefan Slesazeck, et al.. (2021). S2–2 Back-Bias Reconfigurable Field Effect Transistor: A Flexible Add-On Functionality for 22 nm FDSOI. 1–2. 1 indexed citations
15.
Mulaosmanovic, Halid, Evelyn T. Breyer, Stefan Dünkel, et al.. (2021). Ferroelectric field-effect transistors based on HfO 2 : a review. Nanotechnology. 32(50). 502002–502002. 213 indexed citations
16.
Breyer, Evelyn T., Halid Mulaosmanovic, Jens Trommer, et al.. (2020). Compact FeFET Circuit Building Blocks for Fast and Efficient Nonvolatile Logic-in-Memory. IEEE Journal of the Electron Devices Society. 8. 748–756. 38 indexed citations
17.
Toriumi, Akira, et al.. (2019). Material perspectives of HfO 2 -based ferroelectric films for device applications. Qucosa (Saxon State and University Library Dresden). 2019. 1–15. 5 indexed citations
18.
Breyer, Evelyn T., Halid Mulaosmanovic, Thomas Mikolajick, & Stefan Slesazeck. (2017). Reconfigurable NAND/NOR logic gates in 28 nm HKMG and 22 nm FD-SOI FeFET technology. 28.5.1–28.5.4. 70 indexed citations
19.
Lecce, Valerio Di, Michael Hoffmann, Halid Mulaosmanovic, et al.. (2017). Physical and circuit modeling of HfO<inf>2</inf> based ferroelectric memories and devices. IRIS UNIMORE (University of Modena and Reggio Emilia). 26. 1–4. 2 indexed citations
20.
Müller, Johannes, P. Polakowski, Stefan Müller, et al.. (2016). High endurance strategies for hafnium oxide based ferroelectric field effect transistor. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 88 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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