Daniel P. Palomar

20.4k total citations · 7 hit papers
251 papers, 13.3k citations indexed

About

Daniel P. Palomar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Daniel P. Palomar has authored 251 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Electrical and Electronic Engineering, 105 papers in Computer Networks and Communications and 44 papers in Computational Mechanics. Recurrent topics in Daniel P. Palomar's work include Advanced MIMO Systems Optimization (82 papers), Cooperative Communication and Network Coding (60 papers) and Advanced Wireless Communication Techniques (50 papers). Daniel P. Palomar is often cited by papers focused on Advanced MIMO Systems Optimization (82 papers), Cooperative Communication and Network Coding (60 papers) and Advanced Wireless Communication Techniques (50 papers). Daniel P. Palomar collaborates with scholars based in Hong Kong, United States and Spain. Daniel P. Palomar's co-authors include Mung Chiang, Prabhu Babu, Gesualdo Scutari, M.A. Lagunas, Ying Sun, Sergio Barbarossa, J.M. Cioffi, Yongwei Huang, J.R. Fonollosa and Junxiao Song and has published in prestigious journals such as Nature Communications, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Daniel P. Palomar

236 papers receiving 12.9k citations

Hit Papers

A tutorial on decomposition methods for network utility m... 2003 2026 2010 2018 2006 2016 2003 2007 2009 400 800 1.2k

Peers

Daniel P. Palomar
Comparison fields: 5 of 138
  • Electrical and Electronic Engineering 9.1k
  • Computer Networks and Communications 6.3k
  • Aerospace Engineering 2.6k
  • Artificial Intelligence 962
  • Computational Mechanics 954
Replace Zhi‐Quan Luo with:
Zhi‐Quan Luo United States
Jeffrey H. Reed United States
Sergio Barbarossa Italy
Shuzhong Zhang United States
K. J. Ray Liu United States
Mingyi Hong United States
Anna Scaglione United States
Norman C. Beaulieu Canada
Joseph Mitola United States
Kislaya Prasad United States
Zhi‐Quan Luo United States View profile →
Citations per field, relative to Daniel P. Palomar
Daniel P. Palomar · 1×
Citations per year, relative to Daniel P. Palomar
Daniel P. Palomar · 1×

Countries citing papers authored by Daniel P. Palomar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Palomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Palomar. 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 Daniel P. Palomar. The network helps show where Daniel P. Palomar may publish in the future.

Co-authorship network of co-authors of Daniel P. Palomar

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Palomar. A scholar is included among the top collaborators of Daniel P. Palomar 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 Daniel P. Palomar. Daniel P. Palomar 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
# Work Indexed citations
1 3
2 16
3
Minimax Estimation of Laplacian Constrained Precision Matrices
3
4
Graphical Models in Heavy-Tailed Markets
8
5
A Unified Framework for Structured Graph Learning via Spectral Constraints
12
6
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
10
7 57
8 21
9 12
10 23
11
Coordinated Scheduling and Spectrum Sharing via Matrix Fractional Programming.
1
12
Sparse Portfolios for High-Dimensional Financial Index Tracking
3
13 51
14 19
15
An Online Parallel Algorithm for Recursive Estimation of Sparse Signals
1
16 229
17 37
18
Decode-and-Forward Protocol for Cooperative Diversity in Multi-Antenna Wireless Networks
11
19
Capacity of spatially flattened frequency-selective MIMO channels using linear processing techniques in transmission
4
20
Self-reference spatial diversity processing for spread spectrum communications
1

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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