Rajet Krishnan

677 total citations
17 papers, 489 citations indexed

About

Rajet Krishnan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Rajet Krishnan has authored 17 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Rajet Krishnan's work include Advanced MIMO Systems Optimization (9 papers), Advanced Wireless Communication Techniques (8 papers) and Wireless Communication Networks Research (5 papers). Rajet Krishnan is often cited by papers focused on Advanced MIMO Systems Optimization (9 papers), Advanced Wireless Communication Techniques (8 papers) and Wireless Communication Networks Research (5 papers). Rajet Krishnan collaborates with scholars based in Sweden, United States and Italy. Rajet Krishnan's co-authors include Balasubramaniam Natarajan, Steve Warren, Thomas Eriksson, Alexandre Graell i Amat, M. Reza Khanzadi, Giulio Colavolpe, Narayanan Krishnan, Robert Schober, Yongpeng Wu and Sheetal Kalyani and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Communications.

In The Last Decade

Rajet Krishnan

16 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajet Krishnan Sweden 9 246 223 186 145 101 17 489
Mehran Baboli United States 11 265 1.1× 66 0.3× 61 0.3× 65 0.4× 37 0.4× 23 362
Gheorghe Zaharia France 8 134 0.5× 283 1.3× 71 0.4× 31 0.2× 56 0.6× 36 427
Mostafa Alizadeh Canada 4 306 1.2× 72 0.3× 130 0.7× 131 0.9× 17 0.2× 9 380
João Carlos Almeida Brazil 2 289 1.2× 65 0.3× 124 0.7× 125 0.9× 13 0.1× 5 363
Mu-Cyun Tang Taiwan 10 281 1.1× 86 0.4× 95 0.5× 109 0.8× 7 0.1× 18 336
Ashikur Rahman United States 12 279 1.1× 67 0.3× 86 0.5× 105 0.7× 8 0.1× 25 371
Jerry Lopez United States 14 133 0.5× 504 2.3× 46 0.2× 33 0.2× 15 0.1× 66 722
Fabio Zito Italy 8 207 0.8× 158 0.7× 61 0.3× 36 0.2× 20 0.2× 14 322
Mehrdad Nosrati United States 10 238 1.0× 192 0.9× 118 0.6× 91 0.6× 8 0.1× 16 443
Tero Kiuru Finland 11 114 0.5× 190 0.9× 35 0.2× 38 0.3× 7 0.1× 35 344

Countries citing papers authored by Rajet Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Rajet Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajet Krishnan

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

All Works

17 of 17 papers shown
1.
Jamali, Vahid, et al.. (2018). Firefly Ultra Dense Networks with mmWave Fronthaul Links. 1–7.
2.
Venkateswaran, Vijay & Rajet Krishnan. (2016). Hybrid Analog and Digital Precoding: From Practical RF System Models to Information Theoretic Bounds. arXiv (Cornell University). 9. 1–6. 5 indexed citations
3.
Krishnan, Rajet, et al.. (2016). Joint-Polarization Phase-Noise Estimation and Symbol Detection for Optical Coherent Receivers. Journal of Lightwave Technology. 34(18). 4394–4405. 10 indexed citations
4.
Krishnan, Rajet, Giulio Colavolpe, Alexandre Graell i Amat, & Thomas Eriksson. (2015). Algorithms for Joint Phase Estimation and Decoding for MIMO Systems in the Presence of Phase Noise and Quasi-Static Fading Channels. IEEE Transactions on Signal Processing. 63(13). 3360–3375. 20 indexed citations
5.
Bao, Lei, et al.. (2015). On Field Measurements and Modelling of 2x2 Microwave LOS-MIMO Systems. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 6 indexed citations
6.
Khanzadi, M. Reza, et al.. (2015). On the Capacity of the Wiener Phase-Noise Channel: Bounds and Capacity Achieving Distributions. IEEE Transactions on Communications. 63(11). 4174–4184. 7 indexed citations
7.
Krishnan, Rajet. (2015). On the Impact of Phase Noise in Communication Systems - Performance Analysis and Algorithms. Chalmers Publication Library (Chalmers University of Technology). 7 indexed citations
8.
Krishnan, Rajet, M. Reza Khanzadi, Narayanan Krishnan, et al.. (2015). Linear Massive MIMO Precoders in the Presence of Phase Noise—A Large-Scale Analysis. IEEE Transactions on Vehicular Technology. 65(5). 3057–3071. 58 indexed citations
9.
Khanzadi, M. Reza, Rajet Krishnan, & Thomas Eriksson. (2015). Receiver Algorithm Based on Differential Signaling for SIMO Phase Noise Channels with Common and Separate Oscillator Configurations. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 1 indexed citations
10.
Khanzadi, M. Reza, Rajet Krishnan, & Thomas Eriksson. (2013). Effect of synchronizing coordinated base stations on phase noise estimation. arXiv (Cornell University). 1. 4938–4942. 5 indexed citations
11.
Krishnan, Rajet, Alexandre Graell i Amat, Thomas Eriksson, & Giulio Colavolpe. (2013). Constellation Optimization in the Presence of Strong Phase Noise. IEEE Transactions on Communications. 61(12). 5056–5066. 51 indexed citations
12.
Khanzadi, M. Reza, Rajet Krishnan, & Thomas Eriksson. (2013). Estimation of Phase Noise in Oscillators with Colored Noise Sources. IEEE Communications Letters. 17(11). 2160–2163. 19 indexed citations
13.
Krishnan, Rajet, M. Reza Khanzadi, Lennart Svensson, Thomas Eriksson, & Tommy Svensson. (2012). Variational Bayesian framework for receiver design in the presence of phase noise in MIMO systems. Chalmers Research (Chalmers University of Technology). 347–352. 17 indexed citations
14.
Krishnan, Rajet, et al.. (2011). Cognitive Interference Management in Heterogeneous Femto-Macro Cell Networks. 1–6. 29 indexed citations
15.
Krishnan, Rajet, Balasubramaniam Natarajan, & Steve Warren. (2010). Two-Stage Approach for Detection and Reduction of Motion Artifacts in Photoplethysmographic Data. IEEE Transactions on Biomedical Engineering. 57(8). 1867–1876. 215 indexed citations
16.
Krishnan, Rajet & Balasubramaniam Natarajan. (2008). Joint Power and Quantization Optimization for Target Tracking in Wireless Sensor Networks. 1618. 1–5. 3 indexed citations
17.
Krishnan, Rajet, Balasubramaniam Natarajan, & Steve Warren. (2008). Analysis and detection of motion artifact in photoplethysmographic data using higher order statistics. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 613–616. 36 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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