Jacob Eberhardt
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Blockchain Technology Applications and Security 10
- Cloud Computing and Resource Management 3
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- Cryptography and Data Security 4
- Internet Traffic Analysis and Secure E-voting 2
- Security and Verification in Computing 2
- Co-authors
- Stefan Tai (10 shared papers)Markus Klems (2 shared papers)Gregory Katsaros (1 shared paper)Alexander Lenk (1 shared paper)Michael Menzel (1 shared paper)David Bermbach (1 shared paper)Steffen Müller (1 shared paper)Jörn Kuhlenkamp (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)IEEE Conference Proceedings (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Jacob Eberhardt
13 papers receiving 546 citations
Peers
Comparison fields: 5 of 39
- Information Systems 503
- Computer Networks and Communications 200
- Artificial Intelligence 254
- Management Information Systems 68
- Information Systems and Management 17
Countries citing papers authored by Jacob Eberhardt
This map shows the geographic impact of Jacob Eberhardt'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 Jacob Eberhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Eberhardt more than expected).
Fields of papers citing papers by Jacob Eberhardt
This network shows the impact of papers produced by Jacob Eberhardt. 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 Jacob Eberhardt. The network helps show where Jacob Eberhardt may publish in the future.
Co-authors
The 10 scholars most cited alongside Jacob Eberhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2018 | 158 | |
| 3 | 2019 | 73 | |
| 4 | 2018 | 59 | |
| 5 | 2017 | 41 | |
| 6 | 2014 | 23 | |
| 7 | 2017 | 21 | |
| 8 | 2020 | 10 | |
| 9 | 2015 | 9 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 |
About Jacob Eberhardt
Jacob Eberhardt is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 13 papers that have together received 567 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), Cryptography and Data Security (4 papers), Cloud Computing and Resource Management (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Smart Grid Energy Management (2 papers), Security and Verification in Computing (2 papers), Distributed systems and fault tolerance (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Information Systems (503 citations), Computer Networks and Communications (200 citations), Artificial Intelligence (254 citations), Management Information Systems (68 citations) and Information Systems and Management (17 citations). Jacob Eberhardt has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Stefan Tai, Markus Klems, Gregory Katsaros, Alexander Lenk, Michael Menzel, David Bermbach, Steffen Müller, Jörn Kuhlenkamp, Jörg Baus and Matthias Roth. Their work appears in journals such as Lecture notes in computer science and IEEE Conference Proceedings.
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.