Gregory Dane Wyss

89 total papers · 517 total citations
20 papers, 89 citations indexed

About

Gregory Dane Wyss is a scholar working on Information Systems, Statistics, Probability and Uncertainty and Civil and Structural Engineering. According to data from OpenAlex, Gregory Dane Wyss has authored 20 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Statistics, Probability and Uncertainty and 5 papers in Civil and Structural Engineering. Recurrent topics in Gregory Dane Wyss's work include Risk and Safety Analysis (7 papers), Information and Cyber Security (6 papers) and Infrastructure Resilience and Vulnerability Analysis (5 papers). Gregory Dane Wyss is often cited by papers focused on Risk and Safety Analysis (7 papers), Information and Cyber Security (6 papers) and Infrastructure Resilience and Vulnerability Analysis (5 papers). Gregory Dane Wyss collaborates with scholars based in United States and Switzerland. Gregory Dane Wyss's co-authors include James M. Phelan, Claudio Mura, Renato Pajarola, Simon Fletcher, Eric D. Vugrin, James A. Blink, Andrew Walter and Jason J. Haas and has published in prestigious journals such as Nuclear Science and Engineering, The Visual Computer and SIMULATION.

In The Last Decade

Gregory Dane Wyss

17 papers receiving 77 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory Dane Wyss 37 23 22 17 16 20 89
Vladimir I. Gorodetski 34 0.9× 40 1.7× 35 1.6× 5 0.3× 9 0.6× 12 111
Emanuele Galli 16 0.4× 39 1.7× 41 1.9× 57 3.4× 12 0.8× 22 140
Thomas Gruber 47 1.3× 17 0.7× 35 1.6× 4 0.2× 14 0.9× 17 145
Antoine Marot 48 1.3× 21 0.9× 64 2.9× 9 0.5× 2 0.1× 14 218
Jiayu Wang 15 0.4× 29 1.3× 7 0.3× 32 1.9× 2 0.1× 27 219
Ying Lu 28 0.8× 16 0.7× 10 0.5× 10 0.6× 1 0.1× 19 120
Д. В. Иванов 29 0.8× 28 1.2× 19 0.9× 1 0.1× 7 0.4× 27 214
Marta Chinnici 56 1.5× 51 2.2× 17 0.8× 5 0.3× 29 214
Grzegorz Chmaj 21 0.6× 53 2.3× 18 0.8× 4 0.2× 2 0.1× 25 142
Sanjay Kumar Sonbhadra 22 0.6× 21 0.9× 23 1.0× 6 0.4× 16 158

Countries citing papers authored by Gregory Dane Wyss

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Dane Wyss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Dane Wyss. 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 Gregory Dane Wyss. The network helps show where Gregory Dane Wyss may publish in the future.

Co-authorship network of co-authors of Gregory Dane Wyss

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026