David Lorenzi

48 total papers · 446 total citations
18 papers, 277 citations indexed

About

David Lorenzi is a scholar working on Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Lorenzi has authored 18 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Lorenzi's work include Privacy, Security, and Data Protection (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and QR Code Applications and Technologies (2 papers). David Lorenzi is often cited by papers focused on Privacy, Security, and Data Protection (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and QR Code Applications and Technologies (2 papers). David Lorenzi collaborates with scholars based in United States, Pakistan and India. David Lorenzi's co-authors include Jaideep Vaidya, Basit Shafiq, Wei Fan, Vijayalakshmi Atluri, Soon Ae Chun, Michael Horvat, Anthony D. Pellegrini, Nancy Bell, Nabil R. Adam and Zamil S. Alzamil and has published in prestigious journals such as Journal of Autism and Developmental Disorders, Government Information Quarterly and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

David Lorenzi

16 papers receiving 263 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Lorenzi	81	64	62	53	50	18	277
Peter Novitzky	18 0.2×	21 0.3×	36 0.6×	63 1.2×	31 0.6×	13	317
Leyteris Koukianakis	16 0.2×	34 0.5×	45 0.7×	12 0.2×	52 1.0×	12	301
Matteo Orsoni	33 0.4×	16 0.3×	28 0.5×	19 0.4×	38 0.8×	13	300
V. Muñoz	50 0.6×	16 0.3×	40 0.6×	33 0.6×	18 0.4×	21	276
Ismael Edrein Espinosa‐Curiel	41 0.5×	11 0.2×	46 0.7×	17 0.3×	44 0.9×	28	301
Owen Rees	122 1.5×	69 1.1×	148 2.4×	25 0.5×	24 0.5×	18	317
Nicholas Shopland	28 0.3×	13 0.2×	43 0.7×	29 0.5×	47 0.9×	19	278
Peter Worthy	52 0.6×	24 0.4×	29 0.5×	56 1.1×	25 0.5×	42	324
Eunkyung Jo	60 0.7×	9 0.1×	26 0.4×	53 1.0×	30 0.6×	13	253
Nicholas Graham	16 0.2×	10 0.2×	34 0.5×	57 1.1×	54 1.1×	17	293

Countries citing papers authored by David Lorenzi

Since Specialization

Citations

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

Fields of papers citing papers by David Lorenzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lorenzi

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

All Works

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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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