Hans‐Arno Jacobsen
- Computer Networks and Communications top 0.2%
- Information Systems top 0.1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Co-authors
- Mohammad SadoghiVinod MuthusamyChristoph GoebelKaiwen ZhangTilmann RablRuben MayerGuoli LiWei Song
- Topics
- Peer-to-Peer Network Technologies (110 papers)Caching and Content Delivery (81 papers)Cloud Computing and Resource Management (56 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Power SystemsPhysical Chemistry Chemical Physics
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Hans‐Arno Jacobsen
318 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 4.0k
- Information Systems 2.7k
- Electrical and Electronic Engineering 1.2k
- Artificial Intelligence 1.2k
- Signal Processing 683
Countries citing papers authored by Hans‐Arno Jacobsen
This map shows the geographic impact of Hans‐Arno Jacobsen'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 Hans‐Arno Jacobsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Arno Jacobsen more than expected).
Fields of papers citing papers by Hans‐Arno Jacobsen
This network shows the impact of papers produced by Hans‐Arno Jacobsen. 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 Hans‐Arno Jacobsen. The network helps show where Hans‐Arno Jacobsen may publish in the future.
Co-authorship network of co-authors of Hans‐Arno Jacobsen
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Arno Jacobsen. A scholar is included among the top collaborators of Hans‐Arno Jacobsen 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 Hans‐Arno Jacobsen. Hans‐Arno Jacobsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 57 | |
| 13 | 27 | |
| 14 | 6 | |
| 15 | SolUnit: a framework for reducing execution time of smart contract unit tests. | 3 |
| 16 | 48 | |
| 17 | 6 | |
| 18 | 36 | |
| 19 | CMS-ToPSS: efficient dissemination of RSS documents | 12 |
| 20 | Horizontal decomposition of Prevayler | 25 |
About Hans‐Arno Jacobsen
Hans‐Arno Jacobsen is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 334 papers that have together received 6.2k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (110 papers), Caching and Content Delivery (81 papers) and Cloud Computing and Resource Management (56 papers). The work is most often cited by research in Computer Networks and Communications (4.0k citations), Information Systems (2.7k citations) and Signal Processing (683 citations). Hans‐Arno Jacobsen has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Mohammad Sadoghi, Vinod Muthusamy, Christoph Goebel, Kaiwen Zhang, Tilmann Rabl, Ruben Mayer, Guoli Li, Wei Song, João Pereira and Françoise Fabret. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems and Physical Chemistry Chemical Physics.
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.