Frank Pallas

869 citations
37 papers · 244 indexed · h-index 8
Topics
Privacy, Security, and Data Protection (8 papers)Cloud Computing and Resource Management (8 papers)Privacy-Preserving Technologies in Data (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Internet ComputingLecture notes in computer science

In The Last Decade

Frank Pallas

33 papers receiving 226 citations

Peers

Frank Pallas
Comparison fields: 5 of 70
  • Information Systems 108
  • Sociology and Political Science 78
  • Computer Networks and Communications 67
  • Artificial Intelligence 67
  • Electrical and Electronic Engineering 16
Replace Danilo Doneda with:
Danilo Doneda Brazil
Hadi Asghari Netherlands
Lothar Fritsch Sweden
Rüdiger Grimm Germany
Ian Walden United Kingdom
Daniel Woods Austria
Vincent Toubiana France
Petros Belsis Greece
David Gresty United Kingdom
Michael A. Specter United States
Frank Pallas relative to Danilo Doneda Brazil Danilo Doneda's profile →
Citations per field
00.5×4.5×
Danilo Doneda · 1×
Citations per year

Countries citing papers authored by Frank Pallas

Since Specialization
Citations

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

Fields of papers citing papers by Frank Pallas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Pallas

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Pallas. A scholar is included among the top collaborators of Frank Pallas 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 Frank Pallas. Frank Pallas 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
1 0
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3 1
4 5
5 70
6 2
7 1
8 2
9 5
10
Information Logistics and Fog Computing: The DITAS* Approach.
7
11 1
12 7
13 6
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15 9
16 4
17 1
18 8
19 13
20 6

About Frank Pallas

Frank Pallas is a scholar working on Information Systems, Computer Science Applications and Law, having authored 37 papers that have together received 244 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (8 papers), Cloud Computing and Resource Management (8 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Information Systems (108 citations), Computer Networks and Communications (67 citations) and Artificial Intelligence (67 citations). Frank Pallas has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Michèle Finck, David Bermbach, Stefan Tai, Steffen Müller, Philip Raschke, Sarah Spiekermann, Alexander Lenk, Roland Bless, Paul Smith and Oliver Raabe. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Internet Computing and Lecture notes in computer science.

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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