Brian Baingana

549 total citations
17 papers, 321 citations indexed

About

Brian Baingana is a scholar working on Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging and Computational Mathematics. According to data from OpenAlex, Brian Baingana has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computational Mathematics. Recurrent topics in Brian Baingana's work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (5 papers) and Tensor decomposition and applications (4 papers). Brian Baingana is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (5 papers) and Tensor decomposition and applications (4 papers). Brian Baingana collaborates with scholars based in United States. Brian Baingana's co-authors include Georgios B. Giannakis, Yanning Shen, Gonzalo Mateos, Juan Andrés Bazerque, Nicholas D. Sidiropoulos, Emiliano Dall’Anese and Fatemeh Sheikholeslami and has published in prestigious journals such as IEEE Transactions on Signal Processing and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Brian Baingana

17 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Baingana United States	9	171	128	64	56	42	17	321
Mario Coutiño Netherlands	9	160 0.9×	65 0.5×	60 0.9×	17 0.3×	52 1.2×	41	284
Ambedkar Dukkipati India	10	136 0.8×	100 0.8×	11 0.2×	25 0.4×	23 0.5×	43	337
Weixiang Shao United States	10	242 1.4×	59 0.5×	42 0.7×	19 0.3×	13 0.3×	15	383
Vassilis Kalofolias Switzerland	5	113 0.7×	54 0.4×	18 0.3×	23 0.4×	63 1.5×	6	207
Yunlong He United States	4	89 0.5×	25 0.2×	16 0.3×	19 0.3×	83 2.0×	6	276
Raehyun Kim South Korea	7	230 1.3×	57 0.4×	66 1.0×	37 0.7×	8 0.2×	10	395
Thomas Bühler Germany	4	111 0.6×	70 0.5×	23 0.4×	13 0.2×	54 1.3×	4	293
Akie Sakiyama Japan	10	306 1.8×	208 1.6×	45 0.7×	82 1.5×	33 0.8×	24	399
Oğuzhan Teke United States	9	184 1.1×	107 0.8×	49 0.8×	36 0.6×	85 2.0×	28	325
Will Wei Sun United States	11	95 0.6×	21 0.2×	3 0.0×	30 0.5×	74 1.8×	23	292

Countries citing papers authored by Brian Baingana

Since Specialization

Citations

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

Fields of papers citing papers by Brian Baingana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Baingana

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

All Works

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17 of 17 papers shown

Shen, Yanning, Georgios B. Giannakis, & Brian Baingana. (2019). Nonlinear Structural Vector Autoregressive Models With Application to Directed Brain Networks. IEEE Transactions on Signal Processing. 67(20). 5325–5339. 30 indexed citations

Shen, Yanning, Brian Baingana, & Georgios B. Giannakis. (2017). Kernel-Based Structural Equation Models for Topology Identification of Directed Networks. IEEE Transactions on Signal Processing. 65(10). 2503–2516. 57 indexed citations

Shen, Yanning, Brian Baingana, & Georgios B. Giannakis. (2017). Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks. IEEE Transactions on Signal Processing. 65(14). 3675–3687. 47 indexed citations

Shen, Yanning, Brian Baingana, & Georgios B. Giannakis. (2017). Topology inference of directed graphs using nonlinear structural vector autoregressive models. 6513–6517. 9 indexed citations

Shen, Yanning, Brian Baingana, & Georgios B. Giannakis. (2016). Tracking dynamic piecewise-constant network topologies via adaptive tensor factorization. 11. 375–379. 1 indexed citations

Shen, Yanning, Brian Baingana, & Georgios B. Giannakis. (2016). Inferring directed network topologies via tensor factorization. 16. 1739–1743. 7 indexed citations

Shen, Yanning, Brian Baingana, & Georgios B. Giannakis. (2016). Nonlinear structural equation models for network topology inference. 163–168. 9 indexed citations

Sheikholeslami, Fatemeh, Brian Baingana, Georgios B. Giannakis, & Nicholas D. Sidiropoulos. (2016). Egonet tensor decomposition for community identification. 341–345. 5 indexed citations

Baingana, Brian & Georgios B. Giannakis. (2016). Tracking Switched Dynamic Network Topologies From Information Cascades. IEEE Transactions on Signal Processing. 65(4). 985–997. 30 indexed citations

10.

Baingana, Brian & Georgios B. Giannakis. (2015). Joint Community and Anomaly Tracking in Dynamic Networks. IEEE Transactions on Signal Processing. 64(8). 2013–2025. 22 indexed citations

11.

Baingana, Brian, Emiliano Dall’Anese, Gonzalo Mateos, & Georgios B. Giannakis. (2015). Robust kriged Kalman filtering. 1525–1529. 3 indexed citations

12.

Baingana, Brian & Georgios B. Giannakis. (2015). Dynamic and decentralized learning of overlapping network communities. 97–100. 2 indexed citations

13.

Baingana, Brian & Georgios B. Giannakis. (2015). Switched dynamic structural equation models for tracking social network topologies. 11. 682–686. 6 indexed citations

14.

Baingana, Brian, Gonzalo Mateos, & Georgios B. Giannakis. (2014). Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. IEEE Journal of Selected Topics in Signal Processing. 8(4). 563–575. 65 indexed citations

15.

Bazerque, Juan Andrés, Brian Baingana, & Georgios B. Giannakis. (2013). Identifiability of sparse structural equation models for directed and cyclic networks. 839–842. 18 indexed citations

16.

Baingana, Brian, Gonzalo Mateos, & Georgios B. Giannakis. (2013). Dynamic structural equation models for tracking topologies of social networksy. 11. 292–295. 8 indexed citations

17.

Baingana, Brian & Georgios B. Giannakis. (2013). Centrality-constrained graph embedding. 3113–3117. 2 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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