Geoffrey Barbier

1.7k total citations · 1 hit paper
9 papers, 702 citations indexed

About

Geoffrey Barbier is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Geoffrey Barbier has authored 9 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Geoffrey Barbier's work include Complex Network Analysis Techniques (3 papers), Scientific Computing and Data Management (3 papers) and Spam and Phishing Detection (2 papers). Geoffrey Barbier is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Scientific Computing and Data Management (3 papers) and Spam and Phishing Detection (2 papers). Geoffrey Barbier collaborates with scholars based in United States. Geoffrey Barbier's co-authors include Huiji Gao, Rebecca Goolsby, Huan Liu, Pritam Gundecha, Huan Liu, Reza Zafarani, Gabriel Pui Cheong Fung, Zhuo Feng, Mohammad Ali Abbasi and Shamanth Kumar and has published in prestigious journals such as IEEE Intelligent Systems, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Geoffrey Barbier

9 papers receiving 643 citations

Hit Papers

1 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.

Harnessing the Crowdsourcing Power of Social Media for Disaster Relief

2011 532 citations Huiji Gao, Geoffrey Barbier et al. IEEE Intelligent Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoffrey Barbier United States	7	279	261	174	130	109	9	702
Rebecca Goolsby United States	6	313 1.1×	305 1.2×	127 0.7×	108 0.8×	97 0.9×	11	701
Robert Power Australia	9	383 1.4×	509 2.0×	327 1.9×	36 0.3×	107 1.0×	24	922
Bella Robinson Australia	10	380 1.4×	494 1.9×	332 1.9×	37 0.3×	128 1.2×	26	1.0k
Andrew Lampert Australia	8	227 0.8×	280 1.1×	246 1.4×	23 0.2×	112 1.0×	16	612
Hemant Purohit United States	16	315 1.1×	307 1.2×	302 1.7×	26 0.2×	113 1.0×	74	779
Sophia B. Liu United States	11	913 3.3×	915 3.5×	135 0.8×	74 0.6×	184 1.7×	15	1.5k
Anuj Jaiswal United States	9	120 0.4×	160 0.6×	170 1.0×	15 0.1×	65 0.6×	17	478
Alexander Savelyev United States	12	137 0.5×	106 0.4×	146 0.8×	20 0.2×	340 3.1×	25	886
Shamanth Kumar United States	10	168 0.6×	177 0.7×	234 1.3×	13 0.1×	121 1.1×	13	592
Pedro O. S. Vaz de Melo Brazil	14	139 0.5×	58 0.2×	90 0.5×	53 0.4×	79 0.7×	84	695

Countries citing papers authored by Geoffrey Barbier

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Barbier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Barbier

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Barbier. A scholar is included among the top collaborators of Geoffrey Barbier 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 Geoffrey Barbier. Geoffrey Barbier 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:

9 of 9 papers shown

1.

Kumar, Shamanth, Geoffrey Barbier, Mohammad Ali Abbasi, & Huan Liu. (2021). TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 661–662. 25 indexed citations

2.

Gundecha, Pritam, Geoffrey Barbier, Jiliang Tang, & Huan Liu. (2014). User Vulnerability and Its Reduction on a Social Networking Site. ACM Transactions on Knowledge Discovery from Data. 9(2). 1–25. 11 indexed citations

3.

Barbier, Geoffrey, Zhuo Feng, Pritam Gundecha, & Huan Liu. (2013). Provenance Data in Social Media. 3 indexed citations

4.

Barbier, Geoffrey, Zhuo Feng, Pritam Gundecha, & Huan Liu. (2013). Provenance Data in Social Media. 4(1). 1–84. 25 indexed citations

5.

Barbier, Geoffrey, Reza Zafarani, Huiji Gao, Gabriel Pui Cheong Fung, & Huan Liu. (2012). Maximizing benefits from crowdsourced data. Computational and Mathematical Organization Theory. 18(3). 257–279. 55 indexed citations

6.

Gundecha, Pritam, Geoffrey Barbier, & Huan Liu. (2011). Exploiting vulnerability to secure user privacy on a social networking site. 511–519. 39 indexed citations

7.

Liu, Huan & Geoffrey Barbier. (2011). Finding provenance data in social media. 3 indexed citations

8.

Barbier, Geoffrey, Lei Tang, & Huan Liu. (2011). Understanding online groups through social media. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 1(4). 330–338. 9 indexed citations

9.

Gao, Huiji, Geoffrey Barbier, & Rebecca Goolsby. (2011). Harnessing the Crowdsourcing Power of Social Media for Disaster Relief. IEEE Intelligent Systems. 26(3). 10–14. 532 indexed citations breakdown →

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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