Brian Gallagher

9.7k citations
77 papers · 5.9k indexed · 3 hit papers · h-index 28

Impact in

Papers in

Brian Gallagher

68 papers receiving 5.7k citations

Hit Papers

Explainable machine learning in materials science 2022 · 214 citations
2140+6+13Years since publication50010001.5k

Peers

Brian Gallagher
Comparison fields: 5 of 179
  • Statistical and Nonlinear Physics 1.5k
  • Computer Networks and Communications 2.0k
  • Artificial Intelligence 2.7k
  • Computational Mathematics 30
  • Computer Vision and Pattern Recognition 814
Replace Bin Cui with:
Bin Cui China
Markus Hagenbuchner Australia
M. Gori Italy
Cheng Yang China
Mong Li Lee Singapore
Di Jin China
Hao Peng China
Zhengyan Zhang China
Xiangliang Zhang Saudi Arabia
Chuan Zhou China
Brian Gallagher relative to Bin Cui China Bin Cui's profile →
Citations per field
00.5×2.6×
Bin Cui · 1×
Citations per year

Countries citing papers authored by Brian Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Brian Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Gallagher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Gallagher Line = papers co-authored together Brian Gallagher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Collective Classification in Network Data
Hit paper breakdown →
20081830
2
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks
Hit paper breakdown →
20061454
3 2012222
4
Explainable machine learning in materials science
Hit paper breakdown →
2022214
5 2007169
6 2004167
7 2011134
8 2010124
9 1999117
10
Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching.
2006112
11 2013109
12 200897
13 201494
14 201685
15 200582
16 201577
17 201876
18 201469
19 202052
20 201451

About Brian Gallagher

Brian Gallagher is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Signal Processing and Materials Chemistry, having authored 77 papers that have together received 5.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (25 papers), Advanced Graph Neural Networks (14 papers), Machine Learning in Materials Science (9 papers), Network Security and Intrusion Detection (8 papers), Bayesian Modeling and Causal Inference (5 papers), Bioinformatics and Genomic Networks (5 papers), Data Management and Algorithms (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Computer Networks and Communications (2.0k citations), Artificial Intelligence (2.7k citations), Computational Mathematics (30 citations) and Computer Vision and Pattern Recognition (814 citations). Brian Gallagher has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Tina Eliassi‐Rad, David Jensen, Brian Neil Levine, John Burgess, Galileo Namata, Lise Getoor, Prithviraj Sen, Mustafa Bilgic, Christos Faloutsos and Jennifer Neville. Their work appears in journals such as npj Computational Materials, The Journal of Chemical Physics, ACM Transactions on Knowledge Discovery from Data, Chemistry of Materials and PEDIATRICS.

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