Brian Gallagher

9.7k total citations · 3 hit papers
77 papers, 5.9k citations indexed

About

Brian Gallagher is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Brian Gallagher has authored 77 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Statistical and Nonlinear Physics and 12 papers in Computer Networks and Communications. Recurrent topics in Brian Gallagher's work include Complex Network Analysis Techniques (25 papers), Advanced Graph Neural Networks (14 papers) and Machine Learning in Materials Science (9 papers). Brian Gallagher is often cited by papers focused on Complex Network Analysis Techniques (25 papers), Advanced Graph Neural Networks (14 papers) and Machine Learning in Materials Science (9 papers). Brian Gallagher collaborates with scholars based in United States, Netherlands and Australia. Brian Gallagher's co-authors include Tina Eliassi‐Rad, David Jensen, Brian Neil Levine, John Burgess, Mustafa Bilgic, Lise Getoor, Galileo Namata, Prithviraj Sen, Christos Faloutsos and Jennifer Neville and has published in prestigious journals such as The Journal of Chemical Physics, Chemistry of Materials and PEDIATRICS.

In The Last Decade

Brian Gallagher

68 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Collective Classification in Network Data

2008 1.8k citations Brian Gallagher, Tina Eliassi‐Rad et al. profile →
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks

2006 1.5k citations John Burgess, Brian Gallagher et al. profile →
Explainable machine learning in materials science

2022 214 citations Xiaoting Zhong, Brian Gallagher et al. npj Computational Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian Gallagher United States	28	2.7k	2.0k	1.5k	814	659	77	5.9k
Cheng Yang China	28	3.5k 1.3×	681 0.3×	1.2k 0.8×	1.0k 1.3×	1.2k 1.8×	148	6.5k
Markus Hagenbuchner Australia	17	3.1k 1.1×	637 0.3×	640 0.4×	1.5k 1.8×	820 1.2×	62	6.1k
M. Gori Italy	4	2.8k 1.0×	582 0.3×	576 0.4×	1.3k 1.5×	652 1.0×	6	5.3k
Zhengyan Zhang China	16	2.7k 1.0×	486 0.2×	532 0.3×	847 1.0×	597 0.9×	35	4.9k
Shengding Hu China	7	2.3k 0.8×	460 0.2×	432 0.3×	767 0.9×	577 0.9×	17	4.6k
Ganqu Cui China	8	2.0k 0.7×	431 0.2×	496 0.3×	677 0.8×	532 0.8×	20	4.2k
Di Jin China	33	2.3k 0.8×	446 0.2×	1.8k 1.2×	537 0.7×	595 0.9×	228	4.0k
Xiangliang Zhang Saudi Arabia	44	3.8k 1.4×	1.5k 0.7×	442 0.3×	921 1.1×	2.4k 3.7×	291	7.0k
Bin Cui China	44	3.9k 1.4×	1.9k 0.9×	595 0.4×	2.0k 2.5×	3.0k 4.6×	368	7.8k
Hao Peng China	34	2.9k 1.1×	671 0.3×	406 0.3×	544 0.7×	1.0k 1.5×	177	5.1k

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-authorship network of co-authors of Brian Gallagher

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Shusen, Brandon Bocklund, Bhavya Kailkhura, et al.. (2024). A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks. npj Computational Materials. 10(1). 18 indexed citations

2.

Liu, Shusen, et al.. (2024). RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. 1776–1782. 2 indexed citations

3.

Bose, Arpita & Brian Gallagher. (2023). The role of microbial diversity in microbial electrosynthesis. 39(1). 302–303.

4.

Sadigh, Babak, Siya Zhu, Brian Gallagher, et al.. (2021). Accurate parameterization of the kinetic energy functional. The Journal of Chemical Physics. 156(2). 24110–24110. 6 indexed citations

5.

Sadigh, Babak, Siya Zhu, Phanish Suryanarayana, et al.. (2021). Accurate parameterization of the kinetic energy functional for calculations using exact-exchange. The Journal of Chemical Physics. 156(2). 24107–24107. 4 indexed citations

6.

Zhong, Xiaoting, et al.. (2021). A study of real-world micrograph data quality and machine learning model robustness. npj Computational Materials. 7(1). 14 indexed citations

7.

Hiszpanski, Anna M., Brian Gallagher, Peggy Li, et al.. (2020). Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. Journal of Chemical Information and Modeling. 60(6). 2876–2887. 52 indexed citations

8.

Gallagher, Brian, et al.. (2018). Reach out and Read: Innovative Approaches to Literacy Project. PEDIATRICS. 141(1_MeetingAbstract). 39–39. 1 indexed citations

9.

Shah, Neil, et al.. (2017). On Summarizing Large-Scale Dynamic Graphs.. IEEE Data(base) Engineering Bulletin. 40. 75–88. 8 indexed citations

10.

Soundarajan, Sucheta, Acar Tamersoy, Elias B. Khalil, et al.. (2016). Generating Graph Snapshots from Streaming Edge Data. 109–110. 27 indexed citations

11.

Koutra, Danai, Neil Shah, Joshua T Vogelstein, Brian Gallagher, & Christos Faloutsos. (2016). D elta C on. ACM Transactions on Knowledge Discovery from Data. 10(3). 1–43. 85 indexed citations

12.

Neville, Jennifer, Brian Gallagher, & Tina Eliassi‐Rad. (2009). Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. 397–406. 10 indexed citations

13.

Chau, Duen Horng, Christos Faloutsos, Hanghang Tong, et al.. (2008). GRAPHITE: A Visual Query System for Large Graphs. 963–966. 34 indexed citations

14.

Tong, Hanghang, Christos Faloutsos, Brian Gallagher, & Tina Eliassi‐Rad. (2007). Fast best-effort pattern matching in large attributed graphs. 737–746. 169 indexed citations

15.

Gallagher, Brian. (2006). Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching.. National Conference on Artificial Intelligence. 45–53. 112 indexed citations

16.

Burgess, John, Brian Gallagher, David Jensen, & Brian Neil Levine. (2006). MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. 1–11. 1454 indexed citations breakdown →

17.

Bauer, Judith, et al.. (2005). Poor nutritional status prior to peripheral blood stem cell transplantation is associated with increased length of hospital stay. Bone Marrow Transplantation. 35(11). 1113–1116. 82 indexed citations

18.

Bauer, Judith, M. Ferguson, Brian Gallagher, & Sandra Capra. (1997). Validation of a Simple Quick Malnutrition Screening Tool. Journal of the American Dietetic Association. 97(9). A85–A85.

19.

Gallagher, Brian. (1978). Investigation of Containment Area Design to Maximize Hydraulic Efficiency.. Defense Technical Information Center (DTIC). 1 indexed citations

20.

Gallagher, Brian, et al.. (1974). Zooplankton: thermal regulation and stress. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 53(6). 639–47. 5 indexed citations

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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