M. Hurley

1.2k total citations
11 papers, 217 citations indexed

About

M. Hurley is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Hurley has authored 11 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Hurley's work include Target Tracking and Data Fusion in Sensor Networks (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). M. Hurley is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). M. Hurley collaborates with scholars based in United States and New Zealand. M. Hurley's co-authors include J. S. Rowarth, Ashok N. Srivastava, M. J. Way, Leslie V. Foster, P. R. Gazis, P. Mastromarino, M. F. Barnes, Michael C. T. Trought, R. N. Rowe and Weina Ge and has published in prestigious journals such as Journal of Experimental Botany, Journal of Machine Learning Research and Information Fusion.

In The Last Decade

M. Hurley

11 papers receiving 204 citations

Peers

M. Hurley
Comparison fields: 5 of 61
  • Artificial Intelligence 143
  • Computer Networks and Communications 86
  • Control and Systems Engineering 34
  • Plant Science 31
  • Aerospace Engineering 19
Replace Qianqian Wang with:
Qianqian Wang China
Suhui Liu China
G. P. Saradhi Varma India
M. L. Rilee United States
Kristian Kersting Germany
Tzvi Diskin Israel
Ashia Wilson United States
Yijia Xu China
John Roscoe Clark United States
S.B. Slimane Sweden
Qianqian Wang China View profile →
Citations per field, relative to M. Hurley
M. Hurley · 1×
Citations per year, relative to M. Hurley
M. Hurley · 1×

Countries citing papers authored by M. Hurley

Since Specialization
Citations

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

Fields of papers citing papers by M. Hurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hurley

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 4
2 6
3
Stable and Efficient Gaussian Process Calculations
38
4
Simple Real-Time Human Detection using a Single Correlation Filter
1
5
Improved Linear Algebra Methods for Redshift Computation from Limited Spectrum Data - II
2
6 2
7 4
8 119
9 33
10 7
11 1

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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