Ola Svensson

64 papers receiving 741 citations

Peers

Ola Svensson
Comparison fields: 5 of 61
  • Computer Networks and Communications 377
  • Computational Theory and Mathematics 315
  • Industrial and Manufacturing Engineering 278
  • Artificial Intelligence 149
  • Organizational Behavior and Human Resource Management 116
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Viswanath Nagarajan United States
Jochen Könemann Canada
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Y. Bartal Israel
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Citations per field
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Citations per year

Countries citing papers authored by Ola Svensson

Since Specialization
Citations

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

Fields of papers citing papers by Ola Svensson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ola Svensson

This figure shows the co-authorship network connecting the top 25 collaborators of Ola Svensson. A scholar is included among the top collaborators of Ola Svensson 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 Ola Svensson. Ola Svensson 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
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Parallel and Efficient Hierarchical k-Median Clustering
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4
The Primal-Dual method for Learning Augmented Algorithms
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5
Learning Augmented Energy Minimization via Speed Scaling
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6
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7 6
8 3
9 1
10 3
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Linear Relaxations for Finding Diverse Elements in Metric Spaces
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12 13
13 1
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A Simple Order-Oblivious O(log log(rank))-Competitive Algorithm for the Matroid Secretary Problem
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16 24
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Faster approximation algorithms for scheduling with fixed jobs
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18 10
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Precedence Constraint Scheduling and Connections to Dimension Theory of Partial Orders
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20 122

About Ola Svensson

Ola Svensson is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 69 papers that have together received 789 indexed citations. Recurring topics across this work include Optimization and Search Problems (37 papers), Complexity and Algorithms in Graphs (31 papers) and Scheduling and Optimization Algorithms (17 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (278 citations), Computational Theory and Mathematics (315 citations) and Computer Networks and Communications (377 citations). Ola Svensson has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Christoph Ambühl, Monaldo Mastrolilli, Shi Li, Mohit Singh, Rico Zenklusen, Moran Feldman, Tobias Mömke, Nelson A. Uhan, Andreas S. Schulz and Maurice Queyranne. Their work appears in journals such as IEEE Transactions on Smart Grid, Journal of the ACM and Mathematical Programming.

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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