Stefan Weber

77 total papers · 1.4k total citations
46 papers, 828 citations indexed

About

Stefan Weber is a scholar working on Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Stefan Weber has authored 46 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 10 papers in Sociology and Political Science. Recurrent topics in Stefan Weber's work include Cryptography and Data Security (10 papers), Opportunistic and Delay-Tolerant Networks (8 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). Stefan Weber is often cited by papers focused on Cryptography and Data Security (10 papers), Opportunistic and Delay-Tolerant Networks (8 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). Stefan Weber collaborates with scholars based in Ireland, Germany and United States. Stefan Weber's co-authors include Brendan Tangney, Inmaculada Arnedillo‐Sánchez, Christian D. Jensen, Sebastian Ries, Max Mühlhäuser, Elizabeth Gray, Paul E. O’Connell, Jean-Marc Seigneur, J. Robert Beck and Joshua Anhalt and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Computers & Education and European Food Research and Technology.

In The Last Decade

Stefan Weber

42 papers receiving 712 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stefan Weber	399	249	180	161	131	46	828
Chun‐Yu Chen	93 0.2×	551 2.2×	189 1.1×	110 0.7×	284 2.2×	50	946
Armando De Giusti	128 0.3×	266 1.1×	69 0.4×	115 0.7×	313 2.4×	48	889
Sri Devi Ravana	189 0.5×	284 1.1×	176 1.0×	412 2.6×	28 0.2×	72	985
Rakesh Verma	313 0.8×	506 2.0×	118 0.7×	511 3.2×	54 0.4×	114	1.0k
Mohammed Almulla	208 0.5×	144 0.6×	41 0.2×	111 0.7×	350 2.7×	68	1.0k
Chee Sun Liew	424 1.1×	343 1.4×	27 0.1×	221 1.4×	42 0.3×	45	907
Alberto Gil‐Solla	221 0.6×	612 2.5×	284 1.6×	252 1.6×	27 0.2×	103	994
Vinícius H. S. Durelli	86 0.2×	294 1.2×	137 0.8×	113 0.7×	85 0.6×	57	760
R. Benjamin Shapiro	74 0.2×	120 0.5×	85 0.5×	85 0.5×	103 0.8×	49	764
Jun Li	626 1.6×	329 1.3×	54 0.3×	124 0.8×	66 0.5×	101	986

Countries citing papers authored by Stefan Weber

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Weber. A scholar is included among the top collaborators of Stefan Weber 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 Stefan Weber. Stefan Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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