Sara Sulis

3.2k total citations
128 papers, 2.4k citations indexed

About

Sara Sulis is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Sara Sulis has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Electrical and Electronic Engineering, 66 papers in Control and Systems Engineering and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Sara Sulis's work include Power System Optimization and Stability (72 papers), Optimal Power Flow Distribution (44 papers) and Power Systems Fault Detection (40 papers). Sara Sulis is often cited by papers focused on Power System Optimization and Stability (72 papers), Optimal Power Flow Distribution (44 papers) and Power Systems Fault Detection (40 papers). Sara Sulis collaborates with scholars based in Italy, Germany and Switzerland. Sara Sulis's co-authors include Carlo Muscas, Paolo Attilio Pegoraro, Marco Pau, Ferdinanda Ponci, Antonello Monti, N. Locci, Giuditta Pisano, Fabrizio Pilo, Paolo Attilio Pegoraro and Paolo Castello and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.

In The Last Decade

Sara Sulis

123 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Sulis Italy 27 2.2k 1.2k 220 203 134 128 2.4k
Paolo Attilio Pegoraro Italy 25 2.4k 1.1× 1.5k 1.2× 161 0.7× 183 0.9× 100 0.7× 129 2.6k
Nilanjan Senroy India 26 2.8k 1.3× 2.2k 1.8× 82 0.4× 234 1.2× 96 0.7× 144 3.1k
Dmitry Kosterev United States 23 2.2k 1.0× 1.4k 1.1× 58 0.3× 348 1.7× 109 0.8× 60 2.4k
George N. Korres Greece 33 2.9k 1.3× 2.0k 1.6× 172 0.8× 290 1.4× 95 0.7× 115 3.1k
T.H. Ortmeyer United States 20 1.5k 0.7× 798 0.7× 46 0.2× 139 0.7× 52 0.4× 100 1.7k
W.H. Kersting United States 24 3.6k 1.7× 2.5k 2.0× 87 0.4× 383 1.9× 73 0.5× 60 3.8k
Daniel Karlsson Sweden 21 2.4k 1.1× 1.8k 1.5× 57 0.3× 236 1.2× 58 0.4× 51 2.6k
Carlos A. Duque Brazil 23 1.2k 0.6× 612 0.5× 39 0.2× 80 0.4× 75 0.6× 156 1.5k
Biswarup Das India 27 2.2k 1.0× 1.8k 1.4× 34 0.2× 281 1.4× 47 0.4× 86 2.5k
Saikat Chakrabarti India 29 3.9k 1.8× 2.9k 2.4× 198 0.9× 376 1.9× 89 0.7× 207 4.2k

Countries citing papers authored by Sara Sulis

Since Specialization
Citations

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

Fields of papers citing papers by Sara Sulis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Sulis

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Sulis. A scholar is included among the top collaborators of Sara Sulis 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 Sara Sulis. Sara Sulis 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.
Castello, Paolo, et al.. (2025). Characterization of Matrix Profile Technique for Enhanced Detection of Events in Sampled Values Data Streams. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
2.
Pegoraro, Paolo Attilio, et al.. (2025). Improved Fault Detection and Location Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations
3.
Castello, Paolo, et al.. (2024). Influence of Apparent Wind on Particulate Matter Monitoring through Low-Cost Sensors. UNICA IRIS Institutional Research Information System (University of Cagliari). 530–535. 1 indexed citations
4.
Pegoraro, Paolo Attilio, et al.. (2024). Compensation of Systematic Errors for Improved PMU-Based Fault Detection and Location in Three-Phase Distribution Grids. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 8 indexed citations
5.
Pegoraro, Paolo Attilio, et al.. (2023). Transmission line parameters estimation in the presence of realistic PMU measurement error models. Measurement. 218. 113175–113175. 6 indexed citations
6.
Laurano, Christian, et al.. (2023). Refined Modeling and Compensation of Current Transformers Behavior for Line Parameters Estimation Based on Synchronized Measurements. SHILAP Revista de lepidopterología. 2. 1–11. 3 indexed citations
7.
Castello, Paolo, et al.. (2023). Measurement Platform for Latency Characterization of Wide Area Monitoring, Protection and Control Systems. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 10 indexed citations
8.
Castello, Paolo, Carlo Muscas, Paolo Attilio Pegoraro, et al.. (2023). A Practical Solution for Locating the Source of Voltage Dips in HV/MV Interconnected Grids. IEEE Open Access Journal of Power and Energy. 10. 406–414. 2 indexed citations
9.
Muscas, Carlo, et al.. (2022). Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 15 indexed citations
10.
11.
Pegoraro, Paolo Attilio, et al.. (2022). PMU-Based Estimation of Systematic Measurement Errors, Line Parameters, and Tap Changer Ratios in Three-Phase Power Systems. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 14 indexed citations
12.
Carcangiu, Sara, Alessandra Fanni, Paolo Attilio Pegoraro, G. Sias, & Sara Sulis. (2020). Forecasting-Aided Monitoring for the Distribution System State Estimation. Complexity. 2020. 1–15. 14 indexed citations
13.
Castello, Paolo, Carlo Muscas, Paolo Attilio Pegoraro, & Sara Sulis. (2020). Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator. IEEE Transactions on Instrumentation and Measurement. 70. 1–9. 10 indexed citations
14.
Muscas, Carlo, et al.. (2020). Compressive Sensing-Based Harmonic Sources Identification in Smart Grids. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 23 indexed citations
15.
Muscas, Carlo, Paolo Attilio Pegoraro, Sara Sulis, et al.. (2020). New Kalman Filter Approach Exploiting Frequency Knowledge for Accurate PMU-Based Power System State Estimation. IEEE Transactions on Instrumentation and Measurement. 69(9). 6713–6722. 34 indexed citations
16.
17.
Castello, Paolo, Carlo Muscas, Paolo Attilio Pegoraro, & Sara Sulis. (2019). PMU’s Behavior with Flicker-Generating Voltage Fluctuations: An Experimental Analysis. Energies. 12(17). 3355–3355. 8 indexed citations
18.
Castello, Paolo, Carlo Muscas, Paolo Attilio Pegoraro, & Sara Sulis. (2018). Active Phasor Data Concentrator performing adaptive management of latency. Sustainable Energy Grids and Networks. 16. 270–277. 21 indexed citations
19.
20.
Muscas, Carlo, Fabrizio Pilo, Giuditta Pisano, & Sara Sulis. (2008). Optimal Location of Measurement Devices in Active Distribution Networks. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–8. 2 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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