Randy Paffenroth

4.5k citations
80 papers · 3.0k indexed · 2 hit papers · h-index 17
Topics
Anomaly Detection Techniques and Applications (10 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)Advanced Chemical Sensor Technologies (8 papers)
Partner nations
United StatesCanadaSpain

In The Last Decade

Randy Paffenroth

66 papers receiving 2.9k citations

Hit Papers

AUTO-07p: Continuation and bifurcation software for ordin...2007202620132019200720174008001.2k

Peers

Randy Paffenroth
Comparison fields: 5 of 165
  • Computer Networks and Communications 891
  • Artificial Intelligence 811
  • Control and Systems Engineering 464
  • Aerospace Engineering 410
  • Statistical and Nonlinear Physics 408
Replace Chao Lü with:
Chao Lü Hong Kong
Luís A. Aguirre Brazil
Zhong Liu China
David Bau United States
Bill Moran Australia
Erik M. Bollt United States
Hao Yu Singapore
Alexander N. Gorban United Kingdom
Sergios Theodoridis Greece
D.S. Mazel United States
Randy Paffenroth relative to Chao Lü Hong Kong Chao Lü's profile →
Citations per field
00.5×1.5×2.2×
Chao Lü · 1×
Citations per year

Countries citing papers authored by Randy Paffenroth

Since Specialization
Citations

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

Fields of papers citing papers by Randy Paffenroth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randy Paffenroth

This figure shows the co-authorship network connecting the top 25 collaborators of Randy Paffenroth. A scholar is included among the top collaborators of Randy Paffenroth 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 Randy Paffenroth. Randy Paffenroth 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 0
4 2
5 0
6 14
7 1
8 0
9 5
10 15
11 6
12 2
13 0
14 1
15 3
16 12
17 14
18 2
19 2
20 16

About Randy Paffenroth

Randy Paffenroth is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 80 papers that have together received 3.0k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Advanced Chemical Sensor Technologies (8 papers). The work is most often cited by research in Computer Networks and Communications (891 citations), Statistical and Nonlinear Physics (408 citations) and Artificial Intelligence (811 citations). Randy Paffenroth has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Chong Zhou, Eusebius J. Doedel, Björn Sandstede, Fabio Dercole, Bart E. Oldeman, Yuri A. Kuznetsov, Alan Champneys, Alexander M. Wyglinski, Donald J. Dichmann and Dale J. Mortensen. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Journal of Computational Physics.

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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