Dmitry Bagaev

1.0k total citations
9 papers, 261 citations indexed

About

Dmitry Bagaev is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Dmitry Bagaev has authored 9 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Dmitry Bagaev's work include Bayesian Modeling and Causal Inference (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Dmitry Bagaev is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Dmitry Bagaev collaborates with scholars based in Netherlands, Australia and Canada. Dmitry Bagaev's co-authors include Jerome Samir, Can Keşmir, Mikhail Shugay, David K. Cole, Garry Dolton, Meriem Attaf, Nina Babel, Andrew K. Sewell, Evgeny S. Egorov and Dmitriy M. Chudakov and has published in prestigious journals such as Nucleic Acids Research, IEEE Robotics and Automation Letters and Entropy.

In The Last Decade

Dmitry Bagaev

7 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Bagaev Netherlands	4	162	127	60	52	22	9	261
Martin Berglund Sweden	10	101 0.6×	97 0.8×	24 0.4×	18 0.3×	10 0.5×	26	359
Fareed Ahmad Germany	12	202 1.2×	56 0.4×	39 0.7×	66 1.3×	35 1.6×	21	375
Shaocong Mo China	10	61 0.4×	71 0.6×	56 0.9×	20 0.4×	13 0.6×	29	230
Jennifer Y. Tong United States	7	65 0.4×	74 0.6×	54 0.9×	15 0.3×	12 0.5×	8	340
Alexander Tong United States	10	78 0.5×	180 1.4×	82 1.4×	10 0.2×	7 0.3×	31	320
Lèon Kuchenbecker Germany	11	185 1.1×	146 1.1×	107 1.8×	26 0.5×	26 1.2×	13	379
Chong Deng China	10	68 0.4×	155 1.2×	39 0.7×	10 0.2×	5 0.2×	26	332
Miaomiao Tan China	6	72 0.4×	245 1.9×	52 0.9×	26 0.5×	13 0.6×	11	388
Christopher J. Savoie Japan	11	109 0.7×	233 1.8×	29 0.5×	30 0.6×	12 0.5×	20	372

Countries citing papers authored by Dmitry Bagaev

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Bagaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Bagaev

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

All Works

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9 of 9 papers shown

1.

Bagaev, Dmitry, et al.. (2026). Gaussian Variational Inference With Non-Gaussian Factors for State Estimation: A UWB Localization Case Study. IEEE Robotics and Automation Letters. 11(3). 2762–2769.

2.

Bagaev, Dmitry, et al.. (2024). Multi-Agent Trajectory Planning with NUV Priors. TU/e Research Portal. 2766–2771.

3.

Bagaev, Dmitry, et al.. (2023). RxInfer: A Julia package for reactive real-timeBayesian inference. The Journal of Open Source Software. 8(84). 5161–5161. 9 indexed citations

4.

Bagaev, Dmitry, et al.. (2022). ReactiveMP.jl: A Julia package for reactive variational Bayesian inference. Software Impacts. 12. 100299–100299. 1 indexed citations

5.

Bagaev, Dmitry, et al.. (2022). Message Passing-based Inference in Switching Autoregressive Models. 2022 30th European Signal Processing Conference (EUSIPCO). 1497–1501. 2 indexed citations

6.

Bagaev, Dmitry & Bert de Vries. (2022). ReactiveMP.jl: A Julia Package for Reactive Message Passing-based Bayesian Inference. TU/e Research Portal. 1(1). 91–91. 1 indexed citations

7.

Bagaev, Dmitry, et al.. (2021). Message Passing-Based Inference in the Gamma Mixture Model. TU/e Research Portal. 1–6. 3 indexed citations

8.

Bagaev, Dmitry, et al.. (2021). Variational Message Passing and Local Constraint Manipulation in Factor Graphs. Entropy. 23(7). 807–807. 16 indexed citations

9.

Bagaev, Dmitry, Renske M. A. Vroomans, Jerome Samir, et al.. (2019). VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium. Nucleic Acids Research. 48(D1). D1057–D1062. 229 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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