Milutin Pajovic

1.2k total citations
52 papers, 879 citations indexed

About

Milutin Pajovic is a scholar working on Electrical and Electronic Engineering, Signal Processing and Automotive Engineering. According to data from OpenAlex, Milutin Pajovic has authored 52 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 17 papers in Signal Processing and 8 papers in Automotive Engineering. Recurrent topics in Milutin Pajovic's work include Indoor and Outdoor Localization Technologies (15 papers), Optical Network Technologies (10 papers) and Millimeter-Wave Propagation and Modeling (10 papers). Milutin Pajovic is often cited by papers focused on Indoor and Outdoor Localization Technologies (15 papers), Optical Network Technologies (10 papers) and Millimeter-Wave Propagation and Modeling (10 papers). Milutin Pajovic collaborates with scholars based in United States, Japan and United Kingdom. Milutin Pajovic's co-authors include Philip V. Orlik, Toshiaki Koike‐Akino, Toshihiro Wada, Pu Wang, Zafer Şahinoğlu, Yebin Wang, James C. Preisig, Haijian Sun, Kyeong Jin Kim and Keisuke Kojima and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Milutin Pajovic

51 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milutin Pajovic United States 15 717 290 117 103 100 52 879
Hen‐Geul Yeh United States 16 850 1.2× 67 0.2× 39 0.3× 78 0.8× 417 4.2× 122 1.0k
Biqiang Mu China 15 179 0.2× 134 0.5× 32 0.3× 37 0.4× 473 4.7× 57 735
Lujuan Dang China 13 129 0.2× 46 0.2× 200 1.7× 102 1.0× 132 1.3× 26 600
Guanbin Xing United States 9 322 0.4× 37 0.1× 27 0.2× 294 2.9× 11 0.1× 15 672
Shunqiao Sun United States 15 350 0.5× 39 0.1× 282 2.4× 721 7.0× 24 0.2× 57 1.1k
Konstantinos Manolakis Germany 10 998 1.4× 46 0.2× 14 0.1× 133 1.3× 36 0.4× 27 1.1k
Habti Abeida France 16 371 0.5× 58 0.2× 589 5.0× 263 2.6× 143 1.4× 39 944
Won‐Sang Ra South Korea 11 127 0.2× 29 0.1× 23 0.2× 161 1.6× 112 1.1× 61 369
Saeid Sedighi Luxembourg 12 110 0.2× 43 0.1× 88 0.8× 155 1.5× 32 0.3× 26 355
Ziguo Zhong United States 13 499 0.7× 45 0.2× 23 0.2× 57 0.6× 35 0.3× 27 790

Countries citing papers authored by Milutin Pajovic

Since Specialization
Citations

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

Fields of papers citing papers by Milutin Pajovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milutin Pajovic

This figure shows the co-authorship network connecting the top 25 collaborators of Milutin Pajovic. A scholar is included among the top collaborators of Milutin Pajovic 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 Milutin Pajovic. Milutin Pajovic 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.
Pajovic, Milutin, et al.. (2021). Remaining Useful Life Estimation for LFP Cells in Second-Life Applications. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 47 indexed citations
2.
Pajovic, Milutin, et al.. (2021). Online voltage prediction using gaussian process regression for fault-tolerant photovoltaic standalone applications. Neural Computing and Applications. 33(23). 16577–16590. 4 indexed citations
3.
Wei, Zhiqiang, et al.. (2021). Channel Estimation and User Identification With Deep Learning for Massive Machine-Type Communications. IEEE Transactions on Vehicular Technology. 70(10). 10709–10722. 5 indexed citations
4.
Sun, Haijian, Pu Wang, Milutin Pajovic, et al.. (2020). Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study. 1–5. 4 indexed citations
5.
Wang, Pu, Milutin Pajovic, Toshiaki Koike‐Akino, Haijian Sun, & Philip V. Orlik. (2019). Fingerprinting-Based Indoor Localization with Commercial mmWave WiFi - Part II: Spatial Beam SNRs. 1–6. 20 indexed citations
6.
Liu, Bryan, Zhiqiang Wei, Jinhong Yuan, & Milutin Pajovic. (2019). Deep Learning Assisted User Identification in Massive Machine-Type Communications. 8 indexed citations
7.
Wang, Pu, Toshiaki Koike‐Akino, Philip V. Orlik, Milutin Pajovic, & Kyeong Jin Kim. (2019). Variational Bayesian Symbol Detection for Massive MIMO Systems with Symbol-Dependent Transmit Impairments. 1–6. 1 indexed citations
8.
Pajovic, Milutin, James C. Preisig, & Arthur B. Baggeroer. (2018). Analysis of Optimal Diagonal Loading for MPDR-Based Spatial Power Estimators in the Snapshot Deficient Regime. IEEE Journal of Oceanic Engineering. 44(2). 451–465. 14 indexed citations
9.
Pajovic, Milutin, et al.. (2017). Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression. IEEE Transactions on Industrial Electronics. 65(5). 4311–4321. 223 indexed citations
10.
Millar, David S., Lídia Galdino, Robert Maher, et al.. (2017). A Simplified Dual-Carrier DP-64QAM 1 Tb/s Transceiver. Optical Fiber Communication Conference. M3D.2–M3D.2. 6 indexed citations
11.
Pajovic, Milutin, et al.. (2017). Packet separation in random access channels via approximate sparse recovery. 873–877. 2 indexed citations
12.
Pajovic, Milutin, Zafer Şahinoğlu, Yebin Wang, Philip V. Orlik, & Toshihiro Wada. (2017). Online data-driven battery voltage prediction. 14. 827–834. 6 indexed citations
13.
Ding, Yacong, Kyeong Jin Kim, Toshiaki Koike‐Akino, et al.. (2017). Millimeter wave adaptive transmission using spatial scattering modulation. 1–6. 8 indexed citations
14.
Ding, Yacong, Kyeong Jin Kim, Toshiaki Koike‐Akino, et al.. (2017). Spatial Scattering Modulation for Uplink Millimeter-Wave Systems. IEEE Communications Letters. 21(7). 1493–1496. 54 indexed citations
15.
Koike‐Akino, Toshiaki, Kenya Sugihara, Milutin Pajovic, et al.. (2016). Experimental demonstration of nonbinary LDPC convolutional codes for DP-64QAM/256QAM. TU/e Research Portal (Eindhoven University of Technology). 2 indexed citations
16.
Özcan, Gözde, Milutin Pajovic, Zafer Şahinoğlu, et al.. (2016). Online state of charge estimation for Lithium-ion batteries using Gaussian process regression. 998–1003. 21 indexed citations
17.
Pajovic, Milutin. (2014). The development and application of random matrix theory in adaptive signal processing in the sample deficient regime. Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community). 5 indexed citations
18.
Pajovic, Milutin, James C. Preisig, & Arthur B. Baggeroer. (2012). MSE of diagonally loaded Capon beamformer-based power spectrum estimator in snapshot deficient regime. 207–211. 3 indexed citations
19.
Pajovic, Milutin & James C. Preisig. (2011). Performance analysis of the least squares based LTI channel identification algorithm using random matrix methods. 72. 516–523. 5 indexed citations
20.

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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