Tula Giannini

25 papers receiving 236 citations

Peers

Tula Giannini
Comparison fields: 5 of 55
  • Museology 101
  • Human-Computer Interaction 54
  • Conservation 32
  • Geology 23
  • Computer Science Applications 22
Replace Shengdan Cai with:
Shengdan Cai China
Marilena Alivizatou United Kingdom
Adele Magnelli Italy
Peter Lunenfeld United States
Julia Noordegraaf Netherlands
Miriam Ross New Zealand
Carolyn Handler Miller United States
Alexandros Kleftodimos Greece
Patrik Svensson Sweden
Michael Karabinos United States
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Citations per field
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Citations per year

Countries citing papers authored by Tula Giannini

Since Specialization
Citations

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

Fields of papers citing papers by Tula Giannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Tula Giannini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tula Giannini Line = papers co-authored together Tula Giannini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202282
2 201618
3 201713
4 202113
5 201811
6 202310
7 201910
8 20169
9 20179
10 20189
11 20149
12 20206
13 20196
14 20225
15 20225
16 20155
17 20195
18 20124
19
Information Receiving: A Primary Mode of the Information Process
19984
20 20203

About Tula Giannini

Tula Giannini is a scholar working on Museology, Sociology and Political Science, Conservation, Computer Science Applications and Information Systems, having authored 28 papers that have together received 245 indexed citations. Recurring topics across this work include Museums and Cultural Heritage (9 papers), Digital Games and Media (5 papers), Digital and Traditional Archives Management (4 papers), Digital Media and Philosophy (3 papers), Digital Humanities and Scholarship (3 papers), Virtual Reality Applications and Impacts (2 papers), Computability, Logic, AI Algorithms (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Museology (101 citations), Human-Computer Interaction (54 citations), Conservation (32 citations), Geology (23 citations) and Computer Science Applications (22 citations). Tula Giannini has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Jonathan P. Bowen, Arthur I. Miller, Marcia J. Bates, M. Cristina Pattuelli, Michael K. Buckland, Chris A. Michaels, Stuart Dunn, Jonathan Weinel, John Solum and Irene Lopatovska. Their work appears in journals such as Heritage, Journal on Computing and Cultural Heritage, Early Music, Notes and Proceedings of the American Society for Information Science and Technology.

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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