Petar Jokic

437 total citations
9 papers, 337 citations indexed

About

Petar Jokic is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Petar Jokic has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Petar Jokic's work include Energy Harvesting in Wireless Networks (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Advanced Memory and Neural Computing (3 papers). Petar Jokic is often cited by papers focused on Energy Harvesting in Wireless Networks (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Advanced Memory and Neural Computing (3 papers). Petar Jokic collaborates with scholars based in Switzerland and Italy. Petar Jokic's co-authors include Michele Magno, Luca Benini, Giovanni A. Salvatore, Raoul Hopf, Stefan Knobelspies, Norbert Kirchgeßner, Gerhard Tröster, Giuseppe Cantarella, Alwin Daus and Francesco Robotti and has published in prestigious journals such as Advanced Functional Materials, IEEE Access and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Petar Jokic

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petar Jokic Switzerland	7	202	163	76	58	30	9	337
Huiqing Zhang China	10	211 1.0×	218 1.3×	81 1.1×	22 0.4×	62 2.1×	45	507
Luca Fachechi Italy	7	267 1.3×	96 0.6×	105 1.4×	57 1.0×	20 0.7×	17	340
Seunghyeon Lee South Korea	13	156 0.8×	95 0.6×	124 1.6×	68 1.2×	81 2.7×	23	508
Minh Thuy Le Vietnam	14	213 1.1×	485 3.0×	98 1.3×	53 0.9×	26 0.9×	83	729
Tianming Sun China	8	244 1.2×	162 1.0×	92 1.2×	62 1.1×	64 2.1×	9	395
Amelia Wong Azman Malaysia	8	156 0.8×	175 1.1×	136 1.8×	20 0.3×	35 1.2×	63	440
Jui-Wei Tsai Taiwan	8	210 1.0×	175 1.1×	48 0.6×	57 1.0×	30 1.0×	11	350
Zehua Li China	7	156 0.8×	133 0.8×	58 0.8×	29 0.5×	46 1.5×	17	311
Chuanlin Zhang China	7	156 0.8×	186 1.1×	99 1.3×	37 0.6×	23 0.8×	18	383
Huiyun Zhang China	11	276 1.4×	172 1.1×	118 1.6×	93 1.6×	64 2.1×	39	589

Countries citing papers authored by Petar Jokic

Since Specialization

Citations

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

Fields of papers citing papers by Petar Jokic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petar Jokic

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

All Works

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9 of 9 papers shown

1.

Jokic, Petar, et al.. (2023). An Ultra-Low-Power Serial Implementation for Sigmoid and Tanh Using CORDIC Algorithm. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–2. 5 indexed citations

2.

Jokic, Petar, et al.. (2022). A Construction Kit for Efficient Low Power Neural Network Accelerator Designs. ACM Transactions on Embedded Computing Systems. 21(5). 1–36. 2 indexed citations

3.

Jokic, Petar, et al.. (2021). Battery-Less Face Recognition at the Extreme Edge. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–4. 6 indexed citations

4.

Jokic, Petar, et al.. (2021). A Sub-mW Dual-Engine ML Inference System-on-Chip for Complete End-to-End Face-Analysis at the Edge. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–2. 10 indexed citations

5.

Jokic, Petar, et al.. (2020). Improving Memory Utilization in Convolutional Neural Network Accelerators. IEEE Embedded Systems Letters. 13(3). 77–80. 9 indexed citations

6.

Magno, Michele, Giovanni A. Salvatore, Petar Jokic, & Luca Benini. (2019). Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation. IEEE Access. 7. 115400–115408. 31 indexed citations

7.

Jokic, Petar, et al.. (2018). BinaryEye: A 20 kfps Streaming Camera System on FPGA with Real-Time On-Device Image Recognition Using Binary Neural Networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–7. 19 indexed citations

8.

Salvatore, Giovanni A., Giuseppe Cantarella, Francesco Robotti, et al.. (2017). Biodegradable and Highly Deformable Temperature Sensors for the Internet of Things. Advanced Functional Materials. 27(35). 198 indexed citations

9.

Jokic, Petar & Michele Magno. (2017). Powering smart wearable systems with flexible solar energy harvesting. 1–4. 57 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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