Simon Scerri

65 papers receiving 1.4k citations

Simon Scerri's Hit Papers

A systematic review of open government data initiatives 2015 · 675 citations
6750+3+7Years since publication200400600

Peers

Simon Scerri
Comparison fields: 5 of 95
  • Information Systems and Management 215
  • Management Science and Operations Research 374
  • Management Information Systems 183
  • Political Science and International Relations 481
  • Artificial Intelligence 595
Replace Fabrizio Orlandi with:
Fabrizio Orlandi Ireland
Sunil Choenni Netherlands
Judie Attard Germany
Charalampos Alexopoulos Greece
Martin Lněnička Czechia
Andrew Gemino Canada
Anastasija Nikiforova Estonia
Sebastian Neumaier Austria
Ricardo Matheus Netherlands
Gianluigi Viscusi Italy
Simon Scerri relative to Fabrizio Orlandi Ireland Fabrizio Orlandi's profile →
Citations per field
00.5×1.5×
Fabrizio Orlandi · 1×
Citations per year

Countries citing papers authored by Simon Scerri

Since Specialization
Citations

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

Fields of papers citing papers by Simon Scerri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Scerri, 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 Simon Scerri Line = papers co-authored together Simon Scerri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A systematic review of open government data initiatives
Hit paper breakdown →
2015675
2 200845
3 202241
4 201736
5
The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies
200836
6 201331
7 201929
8 201528
9 201325
10 201724
11 202224
12 202023
13 201722
14 201721
15 202221
16 201520
17 201519
18 201017
19 200717
20 201616

About Simon Scerri

Simon Scerri is a scholar working on Information Systems and Management, Artificial Intelligence, Information Systems, Management Science and Operations Research and Computer Networks and Communications, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), Personal Information Management and User Behavior (19 papers), Data Quality and Management (15 papers), Privacy, Security, and Data Protection (12 papers), Service-Oriented Architecture and Web Services (8 papers), Web Data Mining and Analysis (8 papers), Privacy-Preserving Technologies in Data (8 papers) and Access Control and Trust (8 papers). The work is most often cited by research in Information Systems and Management (215 citations), Management Science and Operations Research (374 citations), Management Information Systems (183 citations), Political Science and International Relations (481 citations) and Artificial Intelligence (595 citations). Simon Scerri has collaborated with scholars based in Germany, Ireland and Italy. Frequent co-authors include Sören Auer, Judie Attard, Fabrizio Orlandi, Siegfried Handschuh, Ismael Rivera, Tuomo Tuikka, Edward Curry, Stefan Decker, John G. Breslin and Mikhail Galkin. Their work appears in journals such as Lecture notes in computer science, Language Resources and Evaluation, Journal of Web Semantics, AI Magazine and Government Information Quarterly.

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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