Petko Bogdanov

1.8k total citations · 1 hit paper
50 papers, 1.1k citations indexed

About

Petko Bogdanov is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Petko Bogdanov has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Statistical and Nonlinear Physics and 11 papers in Molecular Biology. Recurrent topics in Petko Bogdanov's work include Complex Network Analysis Techniques (14 papers), Nanocluster Synthesis and Applications (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Petko Bogdanov is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Nanocluster Synthesis and Applications (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Petko Bogdanov collaborates with scholars based in United States, Russia and Mexico. Petko Bogdanov's co-authors include John W. Mohr, Ambuj K. Singh, Stacy M. Copp, E. G. Gwinn, Misael Mongiovı̀, Alexander Gorovits, Steven M. Swasey, Robin Wagner‐Pacifici, Ronald L. Breiger and Mark Debord and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Petko Bogdanov

49 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Introduction—Topic models: What they are and why they matter

2013 292 citations John W. Mohr, Petko Bogdanov Poetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petko Bogdanov United States	14	292	269	239	208	187	50	1.1k
Chengzhi Zhang China	18	45 0.2×	648 2.4×	147 0.6×	19 0.1×	23 0.1×	179	1.4k
Tehmina Amjad Pakistan	18	43 0.1×	308 1.1×	29 0.1×	31 0.1×	11 0.1×	43	962
David Buttler United States	15	52 0.2×	534 2.0×	78 0.3×	6 0.0×	62 0.3×	40	980
Priscila López Spain	5	48 0.2×	140 0.5×	46 0.2×	14 0.1×	9 0.0×	8	966
Xiaoming Liu China	10	41 0.1×	141 0.5×	42 0.2×	38 0.2×	5 0.0×	72	897
Yabing Liu China	20	334 1.1×	318 1.2×	83 0.3×	75 0.4×	1 0.0×	71	1.4k
Nan Feng China	19	244 0.8×	260 1.0×	24 0.1×	85 0.4×	3 0.0×	86	1.3k
Steffen Koch Germany	23	28 0.1×	422 1.6×	88 0.4×	10 0.0×	8 0.0×	76	1.4k
Ellen Riloff United States	36	21 0.1×	5.5k 20.6×	492 2.1×	7 0.0×	39 0.2×	102	6.2k
Jong-Hyeok Lee South Korea	16	38 0.1×	735 2.7×	92 0.4×	10 0.0×	5 0.0×	129	985

Countries citing papers authored by Petko Bogdanov

Since Specialization

Citations

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

Fields of papers citing papers by Petko Bogdanov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petko Bogdanov

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

All Works

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20 of 20 papers shown

Copp, Stacy M., et al.. (2024). Multi-Objective Design of DNA-Stabilized Nanoclusters Using Variational Autoencoders With Automatic Feature Extraction. ACS Nano. 18(39). 26997–27008. 11 indexed citations

Bogdanov, Petko, et al.. (2023). Multi-Dictionary Tensor Decomposition. 1 indexed citations

Татарникова, Т. М., et al.. (2022). Botnet Attack Detection Approach in IoT Networks. Automatic Control and Computer Sciences. 56(8). 838–846. 5 indexed citations

Gascó‐Hernández, Mila, et al.. (2022). Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 5 indexed citations

Zhang, Lin, et al.. (2021). AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Mining and Knowledge Discovery. 35(5). 1882–1905. 6 indexed citations

Gorovits, Alexander, et al.. (2021). CORE: Connectivity Optimization via REinforcement Learning in WANETs. abs 1802 6971. 1–9.

Gorovits, Alexander, et al.. (2021). Mining Bursty Groups from Interaction Data. 596–605. 2 indexed citations

Gascó‐Hernández, Mila, et al.. (2020). Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access. GetMobile Mobile Computing and Communications. 24(2). 5–11. 5 indexed citations

Zheleva, Mariya, et al.. (2018). AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. 6 indexed citations

10.

Swasey, Steven M., et al.. (2018). High throughput near infrared screening discovers DNA-templated silver clusters with peak fluorescence beyond 950 nm. Nanoscale. 10(42). 19701–19705. 41 indexed citations

11.

Copp, Stacy M., et al.. (2018). Fluorescence Color by Data-Driven Design of Genomic Silver Clusters. ACS Nano. 12(8). 8240–8247. 70 indexed citations

12.

Bogdanov, Petko, et al.. (2017). Learning about learning: Mining human brain sub-network biomarkers from fMRI data. PLoS ONE. 12(10). e0184344–e0184344. 6 indexed citations

13.

Zheleva, Mariya, et al.. (2017). Smallholder Agriculture in the Information Age. 59–70. 12 indexed citations

14.

Bogdanov, Petko, Michael Busch, Jeff Moehlis, Ambuj K. Singh, & Bolesław K. Szymański. (2014). Modeling individual topic-specific behavior and influence backbone networks in social media. Social Network Analysis and Mining. 4(1). 12 indexed citations

15.

Bogdanov, Petko & Ambuj K. Singh. (2013). Accurate and scalable nearest neighbors in large networks based on effective importance. 1009–1018. 12 indexed citations

16.

Mohr, John W. & Petko Bogdanov. (2013). Introduction—Topic models: What they are and why they matter. Poetics. 41(6). 545–569. 292 indexed citations breakdown →

17.

Bogdanov, Petko, Michael Busch, Jeff Moehlis, Ambuj K. Singh, & Bolesław K. Szymański. (2013). The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media. arXiv (Cornell University). 19 indexed citations

18.

Mongiovı̀, Misael, Petko Bogdanov, & Ambuj K. Singh. (2013). Mining Evolving Network Processes. 328. 537–546. 21 indexed citations

19.

Mongiovı̀, Misael, et al.. (2012). SigSpot. 865–865. 1 indexed citations

20.

Bogdanov, Petko & Ambuj K. Singh. (2009). Molecular Function Prediction Using Neighborhood Features. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(2). 208–217. 54 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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