Tomaso Erseghe

63 papers receiving 1.6k citations

Hit Papers

Distributed Optimal Power Flow Using ADMM20142026201820222014100200300

Peers

Tomaso Erseghe
Comparison fields: 5 of 84
  • Electrical and Electronic Engineering 974
  • Control and Systems Engineering 474
  • Computer Vision and Pattern Recognition 381
  • Computer Networks and Communications 351
  • Applied Mathematics 338
Replace Mohammad Pourmahmood Aghababa with:
Mohammad Pourmahmood Aghababa Iran
Isabel S. Jesus Portugal
Meng Zhang China
Masaaki Nagahara Japan
J.R. Fonollosa Spain
Tianqi Zhang China
Mihail N. Kolountzakis Greece
Saroj Biswas United States
S. Marano Italy
Lawrence A. Shepp United States
Tomaso Erseghe relative to Mohammad Pourmahmood Aghababa Iran Mohammad Pourmahmood Aghababa's profile →
Citations per field
00.5×7.2×
Mohammad Pourmahmood Aghababa · 1×
Citations per year

Countries citing papers authored by Tomaso Erseghe

Since Specialization
Citations

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

Fields of papers citing papers by Tomaso Erseghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomaso Erseghe

This figure shows the co-authorship network connecting the top 25 collaborators of Tomaso Erseghe. A scholar is included among the top collaborators of Tomaso Erseghe 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 Tomaso Erseghe. Tomaso Erseghe 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
#WorkIndexed citations
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Optimization of micro-grid operation by dynamic grid mapping and token ring control
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14 112
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About Tomaso Erseghe

Tomaso Erseghe is a scholar working on Signal Processing, Applied Mathematics and Computer Networks and Communications, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (16 papers), Smart Grid Energy Management (12 papers) and Antenna Design and Analysis (12 papers). The work is most often cited by research in Applied Mathematics (338 citations), Signal Processing (310 citations) and Control and Systems Engineering (474 citations). Tomaso Erseghe has collaborated with scholars based in Italy, Poland and United States. Frequent co-authors include P. Kraniauskas, Gianfranco Cariolaro, Nicola Laurenti, Stefano Tomasin, Lorenzo Vangelista, Emiliano Dall’Anese, Andréa Zanella, Paolo Tenti, Michele Rossi and Alessandro Costabeber. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and IEEE Transactions on Signal Processing.

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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