Nadya Bliss

1.1k total citations
37 papers, 652 citations indexed

About

Nadya Bliss is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Nadya Bliss has authored 37 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 12 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Nadya Bliss's work include Complex Network Analysis Techniques (15 papers), Topological and Geometric Data Analysis (6 papers) and Distributed and Parallel Computing Systems (5 papers). Nadya Bliss is often cited by papers focused on Complex Network Analysis Techniques (15 papers), Topological and Geometric Data Analysis (6 papers) and Distributed and Parallel Computing Systems (5 papers). Nadya Bliss collaborates with scholars based in United States and United Kingdom. Nadya Bliss's co-authors include Benjamin A. Miller, Patrick J. Wolfe, Jeremy Kepner, Hanghang Tong, Jingrui He, Chen Chen, Shehzad Afzal, Kamaldeen Okuneye, Luca P. Carloni and Carlos Castillo‐Chávez and has published in prestigious journals such as PLoS ONE, Communications of the ACM and IEEE Transactions on Signal Processing.

In The Last Decade

Nadya Bliss

35 papers receiving 624 citations

Peers

Nadya Bliss
Comparison fields: 5 of 97
  • Statistical and Nonlinear Physics 205
  • Artificial Intelligence 203
  • Computer Networks and Communications 168
  • Sociology and Political Science 102
  • Electrical and Electronic Engineering 74
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Terence Hung Singapore
Yuyun Hidayat Indonesia
Henning Mortveit United States
André Panisson Italy
Maurice Tchuenté France
Louis Shekhtman United States
Eran Shir Israel
Marco Quaggiotto Italy
Rose Yu United States View profile →
Citations per field, relative to Nadya Bliss
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Citations per year, relative to Nadya Bliss
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Countries citing papers authored by Nadya Bliss

Since Specialization
Citations

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

Fields of papers citing papers by Nadya Bliss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadya Bliss

This figure shows the co-authorship network connecting the top 25 collaborators of Nadya Bliss. A scholar is included among the top collaborators of Nadya Bliss 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 Nadya Bliss. Nadya Bliss 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
# Work Indexed citations
1 0
2 5
3 23
4 168
5 36
6 20
7 1
8 28
9 6
10 2
11 3
12
Eigenspace analysis for threat detection in social networks
13
13 17
14 12
15 1
16 40
17 1
18 35
19 25
20 9

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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