Ľubor Kollár
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Signal Processing
- Artificial Intelligence
- Management Science and Operations Research
- Co-authors
- Meikel PoessPaul A. LarsonSanjay AgrawalA. MaratheSurajit ChaudhuriVivek NarasayyaManoj SyamalaBryan Smith
- Topics
- Advanced Database Systems and Queries (3 papers)Data Management and Algorithms (2 papers)Data Quality and Management (2 papers)
- Journals
- Lecture notes in computer scienceCERN Document Server (European Organization for Nuclear Research)Computing and Informatics / Computers and Artificial Intelligence
- Partner nations
- United StatesRussiaSlovakia
In The Last Decade
Ľubor Kollár
6 papers receiving 121 citations
Peers
Comparison fields: 5 of 19
- Computer Networks and Communications 110
- Information Systems 68
- Signal Processing 42
- Artificial Intelligence 33
- Management Science and Operations Research 12
Countries citing papers authored by Ľubor Kollár
This map shows the geographic impact of Ľubor Kollár'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 Ľubor Kollár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ľubor Kollár more than expected).
Fields of papers citing papers by Ľubor Kollár
This network shows the impact of papers produced by Ľubor Kollár. 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 Ľubor Kollár. The network helps show where Ľubor Kollár may publish in the future.
Co-authorship network of co-authors of Ľubor Kollár
This figure shows the co-authorship network connecting the top 25 collaborators of Ľubor Kollár. A scholar is included among the top collaborators of Ľubor Kollár 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 Ľubor Kollár. Ľubor Kollár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inside Microsoft SQL Server 2005: T-SQL Querying | 4 |
| 2 | 66 | |
| 3 | 1 | |
| 4 | 55 | |
| 5 | 1 | |
| 6 | Expected number of comparisons in the Hwang-Lin merging algorithm | 1 |
About Ľubor Kollár
Ľubor Kollár is a scholar working on Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 6 papers that have together received 128 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Computer Networks and Communications (110 citations), Signal Processing (42 citations) and Information Systems (68 citations). Ľubor Kollár has collaborated with scholars based in United States, Russia and Slovakia. Frequent co-authors include Meikel Poess, Paul A. Larson, Sanjay Agrawal, A. Marathe, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala, Bryan Smith and Paul Larson. Their work appears in journals such as Lecture notes in computer science, CERN Document Server (European Organization for Nuclear Research) and Computing and Informatics / Computers and Artificial Intelligence.
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.