Kálmán Graffi

80 papers receiving 629 citations

Peers

Kálmán Graffi
Comparison fields: 5 of 41
  • Computer Networks and Communications 559
  • Information Systems 110
  • Artificial Intelligence 110
  • Sociology and Political Science 78
  • Statistical and Nonlinear Physics 56
Replace Ronaldo A. Ferreira with:
Ronaldo A. Ferreira Brazil
Ananthram Swami United States
Benoît Garbinato Switzerland
Wandong Cai China
Karim Seada United States
Ramakrishnan Durairajan United States
Nino Vincenzo Verde Italy
Xiao Bai United States
Panagiotis Kokkinos Greece
Ignac Lovrek Croatia
Kálmán Graffi relative to Ronaldo A. Ferreira Brazil Ronaldo A. Ferreira's profile →
Citations per field
00.5×8.8×
Ronaldo A. Ferreira · 1×
Citations per year

Countries citing papers authored by Kálmán Graffi

Since Specialization
Citations

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

Fields of papers citing papers by Kálmán Graffi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kálmán Graffi

This figure shows the co-authorship network connecting the top 25 collaborators of Kálmán Graffi. A scholar is included among the top collaborators of Kálmán Graffi 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 Kálmán Graffi. Kálmán Graffi 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
2 0
3 3
4 8
5 0
6 4
7 3
8 5
9 1
10 6
11 3
12 11
13
Distributed data structures improvement for collective retrieval time
3
14
Towards a Biometric Random Number Generator - A General Approach For True Random Extraction From Biometric Samples
4
15 12
16 3
17 19
18 10
19
The Impact of the P2P Paradigm on the New Media Industries
7
20 10

About Kálmán Graffi

Kálmán Graffi is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 84 papers that have together received 668 indexed citations. Recurring topics across this work include Caching and Content Delivery (50 papers), Peer-to-Peer Network Technologies (41 papers) and Opportunistic and Delay-Tolerant Networks (30 papers). The work is most often cited by research in Computer Networks and Communications (559 citations), Information Systems (110 citations) and Statistical and Nonlinear Physics (56 citations). Kálmán Graffi has collaborated with scholars based in Germany, Italy and Kazakhstan. Frequent co-authors include Ralf Steinmetz, Aleksandra Kovačević, Dominik Stingl, Daniel M. Hartung, Christian Groß, Konstantin Pussep, Matthias Hollick, Sebastian Kaune, Parag S. Mogre and Barbara Guidi. Their work appears in journals such as Journal of the Association for Information Systems, Computer Communications and IEEE Security & Privacy.

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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