Mikołaj Jankowski

730 total citations
9 papers, 446 citations indexed

About

Mikołaj Jankowski is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Mikołaj Jankowski has authored 9 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mikołaj Jankowski's work include Advanced Data Compression Techniques (4 papers), Speech and Audio Processing (3 papers) and Wireless Signal Modulation Classification (2 papers). Mikołaj Jankowski is often cited by papers focused on Advanced Data Compression Techniques (4 papers), Speech and Audio Processing (3 papers) and Wireless Signal Modulation Classification (2 papers). Mikołaj Jankowski collaborates with scholars based in United Kingdom and France. Mikołaj Jankowski's co-authors include Denız Gündüz, Krystian Mikolajczyk, Tze-Yang Tung, David Burth Kurka, Mahdi Boloursaz Mashhadi, Marios Kountouris and David Gesbert and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and View.

In The Last Decade

Mikołaj Jankowski

9 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mikołaj Jankowski United Kingdom	7	202	197	104	93	42	9	446
Peiwen Jiang China	7	197 1.0×	181 0.9×	101 1.0×	90 1.0×	34 0.8×	16	427
Chenghong Bian United Kingdom	8	104 0.5×	152 0.8×	105 1.0×	93 1.0×	21 0.5×	18	321
Kailin Tan China	5	144 0.7×	120 0.6×	104 1.0×	125 1.3×	15 0.4×	10	372
Shuo Shao China	11	199 1.0×	131 0.7×	185 1.8×	76 0.8×	17 0.4×	46	443
Haijun Tan China	9	109 0.5×	192 1.0×	65 0.6×	53 0.6×	75 1.8×	15	322
Lei Shen China	11	96 0.5×	134 0.7×	181 1.7×	51 0.5×	45 1.1×	60	369
Siyu Liao United States	11	160 0.8×	119 0.6×	48 0.5×	133 1.4×	16 0.4×	29	358
Caidan Zhao China	13	192 1.0×	151 0.8×	116 1.1×	97 1.0×	99 2.4×	44	386
Danlan Huang China	3	181 0.9×	74 0.4×	78 0.8×	98 1.1×	15 0.4×	6	351
Bertil Svensson Sweden	10	118 0.6×	238 1.2×	224 2.2×	47 0.5×	21 0.5×	70	504

Countries citing papers authored by Mikołaj Jankowski

Since Specialization

Citations

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

Fields of papers citing papers by Mikołaj Jankowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikołaj Jankowski

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

Jankowski, Mikołaj, Denız Gündüz, & Krystian Mikolajczyk. (2024). Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels. 126–131. 3 indexed citations

2.

Jankowski, Mikołaj, Denız Gündüz, & Krystian Mikolajczyk. (2024). AirNet: Neural Network Transmission Over the Air. IEEE Transactions on Wireless Communications. 23(9). 12126–12139. 2 indexed citations

3.

Tung, Tze-Yang, David Burth Kurka, Mikołaj Jankowski, & Denız Gündüz. (2022). DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding. IEEE Journal on Selected Areas in Information Theory. 3(4). 720–731. 81 indexed citations

4.

Mashhadi, Mahdi Boloursaz, et al.. (2022). LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training. IEEE Transactions on Vehicular Technology. 71(3). 2979–2990. 51 indexed citations

5.

Jankowski, Mikołaj, Denız Gündüz, & Krystian Mikolajczyk. (2022). AirNet: Neural Network Transmission over the Air. 2022 IEEE International Symposium on Information Theory (ISIT). 2451–2456. 15 indexed citations

6.

Tung, Tze-Yang, David Burth Kurka, Mikołaj Jankowski, & Denız Gündüz. (2022). DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding. ICC 2022 - IEEE International Conference on Communications. 3880–3885. 21 indexed citations

7.

Mashhadi, Mahdi Boloursaz, et al.. (2021). . View. 49 indexed citations

8.

Jankowski, Mikołaj, Denız Gündüz, & Krystian Mikolajczyk. (2021). Wireless Image Retrieval at the Edge. IRIS UNIMORE (University of Modena and Reggio Emilia). 185 indexed citations

9.

Jankowski, Mikołaj, Denız Gündüz, & Krystian Mikolajczyk. (2020). Deep Joint Source-Channel Coding for Wireless Image Retrieval. arXiv (Cornell University). 5070–5074. 39 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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