Daniela Tulone

467 total citations
11 papers, 135 citations indexed

About

Daniela Tulone is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniela Tulone has authored 11 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniela Tulone's work include Energy Efficient Wireless Sensor Networks (6 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Distributed systems and fault tolerance (3 papers). Daniela Tulone is often cited by papers focused on Energy Efficient Wireless Sensor Networks (6 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Distributed systems and fault tolerance (3 papers). Daniela Tulone collaborates with scholars based in Italy, United States and Israel. Daniela Tulone's co-authors include Samuel Madden, Dahlia Malkhi, Michael K. Reiter, Erik D. Demaine, Roberto Baldoni, Sara Tucci-Piergiovanni, Mani Srivastava, Sadaf Zahedi and Laura Balzano and has published in prestigious journals such as Ad Hoc Networks, Algorithmica and Joint Research Centre (European Commission).

In The Last Decade

Daniela Tulone

11 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Tulone Italy	4	127	30	22	11	10	11	135
Gonzalo Salgueiro United Kingdom	4	67 0.5×	31 1.0×	22 1.0×	9 0.8×	11 1.1×	8	106
Nina Peterson United States	6	92 0.7×	66 2.2×	11 0.5×	11 1.0×	35 3.5×	9	136
Rami Tawil Lebanon	8	183 1.4×	161 5.4×	12 0.5×	7 0.6×	15 1.5×	20	214
Hua-Wen Tsai Taiwan	8	280 2.2×	157 5.2×	20 0.9×	13 1.2×	45 4.5×	21	300
Ghassan A. Abed Malaysia	9	115 0.9×	111 3.7×	6 0.3×	10 0.9×	6 0.6×	27	188
Christophe Osswald France	5	35 0.3×	22 0.7×	12 0.5×	4 0.4×	12 1.2×	12	65
Vijay Raisinghani India	9	332 2.6×	196 6.5×	10 0.5×	8 0.7×	15 1.5×	18	357
J. Blumenthal Germany	6	94 0.7×	51 1.7×	10 0.5×	4 0.4×	19 1.9×	8	110
Lakshmi Venkatraman United States	5	314 2.5×	169 5.6×	26 1.2×	4 0.4×	21 2.1×	7	319
Ulrich Herberg France	8	285 2.2×	143 4.8×	15 0.7×	4 0.4×	3 0.3×	17	321

Countries citing papers authored by Daniela Tulone

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Tulone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Tulone

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

All Works

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11 of 11 papers shown

1.

Tulone, Daniela. (2009). A Model-Based Monitoring Scheme for Disruption-tolerant Underwater Sensor Networks. Joint Research Centre (European Commission). 1–3. 1 indexed citations

2.

Tulone, Daniela, et al.. (2007). Inspect: a general framework for on-line detection and diagnosis of sensor faults. eScholarship (California Digital Library). 1 indexed citations

3.

Tulone, Daniela. (2007). Ensuring strong data guarantees in highly mobile ad hoc networks via quorum systems. Ad Hoc Networks. 5(8). 1251–1271. 2 indexed citations

4.

Tulone, Daniela & Erik D. Demaine. (2007). Revising Quorum Systems for Energy Conservation in Sensor Networks. 147–157. 2 indexed citations

5.

Tulone, Daniela. (2007). On the Feasibility of Time Estimation under Isolation Conditions in Wireless Sensor Networks. Algorithmica. 49(4). 386–411. 1 indexed citations

6.

Tulone, Daniela & Erik D. Demaine. (2007). Revising Quorum Systems for Energy Conservation in Sensor Networks. 147–157. 2 indexed citations

7.

Tulone, Daniela & Samuel Madden. (2006). An energy-efficient querying framework in sensor networks for detecting node similarities. 191–300. 63 indexed citations

8.

Tulone, Daniela. (2006). A Scalable and Intrusion-tolerant Digital Time-stamping System. 2006 IEEE International Conference on Communications. 2357–2363. 3 indexed citations

9.

Tulone, Daniela. (2004). A resource--efficient time estimation for wireless sensor networks. 52–59. 18 indexed citations

10.

Baldoni, Roberto, et al.. (2002). An Implementation of Causal Memories using the Writing Semantic.. 41–50. 2 indexed citations

11.

Malkhi, Dahlia, et al.. (2002). Persistent objects in the Fleet system. 2. 126–136. 40 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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