Robert Laurini

41 papers receiving 364 citations

Peers

Robert Laurini
Comparison fields: 5 of 76
  • Geography, Planning and Development 218
  • Signal Processing 160
  • Computer Networks and Communications 93
  • Artificial Intelligence 89
  • Computer Vision and Pattern Recognition 55
Replace Daniel Fay with:
Daniel Fay United Kingdom
Peter Gatalsky Germany
S. Wróbel Germany
John G. Stell United Kingdom
Hansi Senaratne Germany
Simon Scheider Netherlands
Michail Vaitis Greece
Matthew Rice United States
Thomas Devogèle France
Sylvie Servigne France
Robert Laurini relative to Daniel Fay United Kingdom Daniel Fay's profile →
Citations per field
00.5×2.7×
Daniel Fay · 1×
Citations per year

Countries citing papers authored by Robert Laurini

Since Specialization
Citations

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

Fields of papers citing papers by Robert Laurini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Laurini

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Laurini. A scholar is included among the top collaborators of Robert Laurini 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 Robert Laurini. Robert Laurini 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
#WorkIndexed citations
1 6
2 28
3 3
4
Geographic Ontologies: Survey and Challenges
6
5 21
6 4
7
Proceedings of the 9th international conference on Advances in visual information systems
1
8 3
9
Urban Ontologies for an improved communication in urban civil engineering projects
10
10
The Po-tree: a Real-time Spatiotemporal Data Indexing Structure.
1
11 6
12
Groupware and Public Participation for Urban Planning 1
1
13 7
14 58
15 0
16 14
17
ACM-GIS '98 : Proceedings of the 6th International Symposium on Advances in Geographic Information Systems, November 6-7, 1998, Washington, D.C., USA
2
18 15
19 77
20 22

About Robert Laurini

Robert Laurini is a scholar working on Geography, Planning and Development, Signal Processing and Computer Networks and Communications, having authored 45 papers that have together received 412 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (31 papers), Data Management and Algorithms (18 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Geography, Planning and Development (218 citations), Signal Processing (160 citations) and Transportation (41 citations). Robert Laurini has collaborated with scholars based in France, Italy and Algeria. Frequent co-authors include Sylvie Servigne, Max J. Egenhofer, Timothy Nyerges, David Mark, Giuliana Vitiello, Marie-Aude Aufaure, Monica Sebillo, Vincenzo Del Fatto, Azedine Boulmakoul and Okba Kazar. Their work appears in journals such as Land Use Policy, Computers Environment and Urban Systems and Lecture notes in computer science.

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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