Boris Glavic

77 papers receiving 759 citations

Peers

Boris Glavic
Comparison fields: 5 of 47
  • Information Systems and Management 423
  • Management Science and Operations Research 234
  • Computer Networks and Communications 414
  • Information Systems 352
  • Signal Processing 121
Replace Kiran‐Kumar Muniswamy‐Reddy with:
Kiran‐Kumar Muniswamy‐Reddy United States
Craig A. N. Soules United States
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Hazem Elmeleegy United States
Marc Friedman United States
Muhammad Ali Gulzar United States
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Esther Pacitti France
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Countries citing papers authored by Boris Glavic

Since Specialization
Citations

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

Fields of papers citing papers by Boris Glavic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 201554
3
Data Provenance: A Categorization of Existing Approaches
200750
4 201536
5 202228
6 201924
7 201722
8 201720
9 200919
10
GProM - A Swiss Army Knife for Your Provenance Needs.
201818
11 201318
12 201718
13 200916
14 201415
15 201015
16 202115
17
A Generic Provenance Middleware for Database Queries, Updates, and Transactions
201414
18 200813
19 200213
20 201313

About Boris Glavic

Boris Glavic is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 80 papers that have together received 804 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (51 papers), Advanced Database Systems and Queries (30 papers), Data Quality and Management (25 papers), Research Data Management Practices (22 papers), Distributed and Parallel Computing Systems (15 papers), Data Management and Algorithms (10 papers), Advanced Data Storage Technologies (10 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Information Systems and Management (423 citations), Management Science and Operations Research (234 citations), Computer Networks and Communications (414 citations), Information Systems (352 citations) and Signal Processing (121 citations). Boris Glavic has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Gustavo Alonso, Renée J. Miller, Klaus R. Dittrich, Patricia C. Arocena, Bertram Ludäscher, Sudeepa Roy, Dieter Gawlick, Oliver Kennedy, Zhengjie Miao and Paolo Papotti. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Internet Technology, Blood and Knowledge and Information Systems.

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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