Nicoletta Bof

615 total citations
10 papers, 388 citations indexed

About

Nicoletta Bof is a scholar working on Computer Networks and Communications, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Nicoletta Bof has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 2 papers in Computational Mechanics and 2 papers in Artificial Intelligence. Recurrent topics in Nicoletta Bof's work include Distributed Control Multi-Agent Systems (6 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Cooperative Communication and Network Coding (3 papers). Nicoletta Bof is often cited by papers focused on Distributed Control Multi-Agent Systems (6 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Cooperative Communication and Network Coding (3 papers). Nicoletta Bof collaborates with scholars based in Italy, United States and Sweden. Nicoletta Bof's co-authors include Luca Schenato, Ettore Fornasini, Maria Elena Valcher, Saverio Bolognani, Sandro Zampieri, Giacomo Baggio, Ruggero Carli, Giuseppe Notarstefano, Marco Todescato and Damiano Varagnolo and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Control of Network Systems.

In The Last Decade

Nicoletta Bof

10 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicoletta Bof Italy	8	143	133	110	90	47	10	388
Jinfeng Pan China	12	27 0.2×	146 1.1×	43 0.4×	39 0.4×	46 1.0×	41	372
Max Tschaikowski Italy	10	30 0.2×	120 0.9×	35 0.3×	24 0.3×	72 1.5×	35	300
Jinling Liang China	5	58 0.4×	102 0.8×	356 3.2×	152 1.7×	13 0.3×	8	523
Shicheng Huo China	11	84 0.6×	34 0.3×	391 3.6×	394 4.4×	57 1.2×	24	564
Weiwei Sun China	12	65 0.5×	118 0.9×	150 1.4×	385 4.3×	80 1.7×	43	554
Xin‐Ming Cheng China	12	55 0.4×	38 0.3×	271 2.5×	167 1.9×	19 0.4×	34	453
Zhengguo Huang China	10	79 0.6×	20 0.2×	306 2.8×	404 4.5×	42 0.9×	15	519
Yongyuan Yu China	10	30 0.2×	339 2.5×	81 0.7×	87 1.0×	150 3.2×	32	465
Wu Zhu China	10	48 0.3×	25 0.2×	114 1.0×	34 0.4×	112 2.4×	17	343

Countries citing papers authored by Nicoletta Bof

Since Specialization

Citations

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

Fields of papers citing papers by Nicoletta Bof

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicoletta Bof

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

All Works

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10 of 10 papers shown

Todescato, Marco, Nicoletta Bof, Guido Cavraro, Ruggero Carli, & Luca Schenato. (2019). Partition-based multi-agent optimization in the presence of lossy and asynchronous communication. Automatica. 111. 108648–108648. 9 indexed citations

Bof, Nicoletta, Ruggero Carli, & Luca Schenato. (2018). Is ADMM always faster than Average Consensus?. Automatica. 91. 311–315. 8 indexed citations

Bof, Nicoletta, Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, & Damiano Varagnolo. (2018). Multiagent Newton–Raphson Optimization Over Lossy Networks. IEEE Transactions on Automatic Control. 64(7). 2983–2990. 16 indexed citations

Bof, Nicoletta, Ruggero Carli, & Luca Schenato. (2017). Average Consensus with Asynchronous Updates and Unreliable Communication. IFAC-PapersOnLine. 50(1). 601–606. 16 indexed citations

Bof, Nicoletta, Ruggero Carli, Angelo Cenedese, & Luca Schenato. (2017). Asynchronous Distributed Camera Network Patrolling Under Unreliable Communication. IEEE Transactions on Automatic Control. 62(11). 5982–5989. 7 indexed citations

Bof, Nicoletta, Marco Todescato, Ruggero Carli, & Luca Schenato. (2016). Robust Distributed Estimation for Localization in Lossy Sensor Networks. IFAC-PapersOnLine. 49(22). 250–255. 5 indexed citations

Bof, Nicoletta, Giacomo Baggio, & Sandro Zampieri. (2016). On the Role of Network Centrality in the Controllability of Complex Networks. IEEE Transactions on Control of Network Systems. 4(3). 643–653. 53 indexed citations

Bof, Nicoletta, Ruggero Carli, & Luca Schenato. (2016). On the performance of consensus based versus Lagrangian based algorithms for quadratic cost functions. Padua Research Archive (University of Padova). 160–165. 3 indexed citations

Bof, Nicoletta, Ettore Fornasini, & Maria Elena Valcher. (2015). Output feedback stabilization of Boolean control networks. Automatica. 57. 21–28. 131 indexed citations

10.

Bolognani, Saverio, et al.. (2013). Identification of power distribution network topology via voltage correlation analysis. Research Padua Archive (University of Padua). 1659–1664. 140 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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