Riko Jacob

33 papers receiving 558 citations

Peers

Riko Jacob
Comparison fields: 5 of 57
  • Computer Graphics and Computer-Aided Design 92
  • Computational Mathematics 7
  • Signal Processing 127
  • Hardware and Architecture 78
  • Computer Networks and Communications 254
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Chris Harrelson United States
Daniele Frigioni Italy
Satish Rao United States
Dror Rawitz Israel
Sanjeeb Dash United States
Elias Dahlhaus Germany
Karl Bringmann Germany
Bettina Klinz Austria
Thomas Willhalm Germany
Tsunehiko Kameda Canada
Riko Jacob relative to Chris Harrelson United States Chris Harrelson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Riko Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Riko Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003102
2 200097
3 200270
4 200463
5 201050
6 200930
7 200727
8 200125
9 201024
10 200720
11 201415
12 200714
13
Dynamic Planar Convex Hull with Optimal Query Time
200010
14 201810
15 20178
16 20135
17 20125
18 20124
19 20043
20 20113

About Riko Jacob

Riko Jacob is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Hardware and Architecture, having authored 38 papers that have together received 607 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (9 papers), Distributed systems and fault tolerance (7 papers), Algorithms and Data Compression (7 papers), Data Management and Algorithms (6 papers), Interconnection Networks and Systems (6 papers), Optimization and Search Problems (5 papers), Peer-to-Peer Network Technologies (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (92 citations), Computational Mathematics (7 citations), Signal Processing (127 citations), Hardware and Architecture (78 citations) and Computer Networks and Communications (254 citations). Riko Jacob has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Gerth Stølting Brodal, Rolf Fagerberg, Madhav Marathe, Chris Barrett, Marc Nunkesser, Stefan Schmid, Christian Scheideler, Andréa W. Richa, Hanjo Täubig and Elias Vicari. Their work appears in journals such as Theory of Computing Systems, Algorithmica, Theoretical Computer Science, ACM SIGCOMM Computer Communication Review and Bioinformatics.

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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