András Hartmann

485 total citations
22 papers, 315 citations indexed

About

András Hartmann is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, András Hartmann has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Artificial Intelligence. Recurrent topics in András Hartmann's work include Gene Regulatory Network Analysis (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). András Hartmann is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). András Hartmann collaborates with scholars based in Portugal, Luxembourg and Hungary. András Hartmann's co-authors include Günter Speit, Susana Vinga, Marie Vasquez, Rafael S. Costa, Irene Witte, U. Plappert, João M. Lemos, Antonio del Sol, João Xavier and András Eke and has published in prestigious journals such as Bioinformatics, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

András Hartmann

21 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
András Hartmann Portugal 9 120 77 52 39 36 22 315
Mark Nelms United States 12 80 0.7× 35 0.5× 106 2.0× 6 0.2× 11 0.3× 29 321
Yanqin Feng China 11 123 1.0× 47 0.6× 40 0.8× 8 0.2× 4 0.1× 52 366
Sheng Wan China 9 109 0.9× 23 0.3× 17 0.3× 19 0.5× 7 0.2× 18 353
Na Chen China 13 229 1.9× 64 0.8× 107 2.1× 44 1.1× 4 0.1× 28 457
Xueting Liu China 13 128 1.1× 29 0.4× 24 0.5× 7 0.2× 19 0.5× 29 513
Hongying Zhang China 13 202 1.7× 17 0.2× 51 1.0× 15 0.4× 9 0.3× 35 757
Parkash Chand India 7 88 0.7× 44 0.6× 20 0.4× 30 0.8× 4 0.1× 16 316
Qinghao Li China 9 121 1.0× 42 0.5× 7 0.1× 28 0.7× 10 0.3× 18 361
Mengya Liu China 12 264 2.2× 62 0.8× 6 0.1× 70 1.8× 5 0.1× 33 604

Countries citing papers authored by András Hartmann

Since Specialization
Citations

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

Fields of papers citing papers by András Hartmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Hartmann

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

All Works

20 of 20 papers shown
1.
Mukli, Péter, et al.. (2021). Two-Tiered Response of Cardiorespiratory-Cerebrovascular Network to Orthostatic Challenge. Frontiers in Physiology. 12. 622569–622569. 4 indexed citations
2.
Hartmann, András, Srikanth Ravichandran, & Antonio del Sol. (2019). Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks. Methods in molecular biology. 1975. 37–51. 1 indexed citations
3.
Ravichandran, Srikanth, András Hartmann, & Antonio del Sol. (2019). SigHotSpotter: scRNA-seq-based computational tool to control cell subpopulation phenotypes for cellular rejuvenation strategies. Bioinformatics. 36(6). 1963–1965. 8 indexed citations
4.
Hartmann, András, et al.. (2018). SeesawPred: A Web Application for Predicting Cell-fate Determinants in Cell Differentiation. Scientific Reports. 8(1). 13355–13355. 10 indexed citations
5.
Hartmann, András, Nicolai Kallscheuer, Michael Vogt, et al.. (2017). OptPipe - a pipeline for optimizing metabolic engineering targets. BMC Systems Biology. 11(1). 143–143. 9 indexed citations
6.
Hartmann, András, Ana Rute Neves, João M. Lemos, & Susana Vinga. (2016). Identification and automatic segmentation of multiphasic cell growth using a linear hybrid model. Mathematical Biosciences. 279. 83–89. 2 indexed citations
7.
Costa, Rafael S., András Hartmann, & Susana Vinga. (2015). Kinetic modeling of cell metabolism for microbial production. Journal of Biotechnology. 219. 126–141. 32 indexed citations
8.
Hartmann, András, João M. Lemos, Rafael S. Costa, João Xavier, & Susana Vinga. (2015). Identification of switched ARX models via convex optimization and expectation maximization. Journal of Process Control. 28. 9–16. 23 indexed citations
9.
Costa, Rafael S., András Hartmann, Paula Gaspar, Ana Rute Neves, & Susana Vinga. (2014). An extended dynamic model of Lactococcus lactis metabolism for mannitol and 2,3-butanediol production. Molecular BioSystems. 10(3). 628–639. 12 indexed citations
10.
Hartmann, András, João M. Lemos, & Susana Vinga. (2014). Modeling multiple experiments using regularized optimization: A case study on bacterial glucose utilization dynamics. Computers in Biology and Medicine. 63. 301–309. 3 indexed citations
11.
Hartmann, András, João M. Lemos, Rafael S. Costa, & Susana Vinga. (2014). Identifying IIR filter coefficients using particle swarm optimization with application to reconstruction of missing cardiovascular signals. Engineering Applications of Artificial Intelligence. 34. 193–198. 12 indexed citations
12.
Hartmann, András, Susana Vinga, & João M. Lemos. (2013). Hybrid identification of time-varying parameter with particle filtering and expectation maximization. 47. 884–889. 2 indexed citations
13.
Hartmann, András, Susana Vinga, & João M. Lemos. (2012). Online Bayesian Time-varying Parameter Estimation of HIV-1 Time-series. IFAC Proceedings Volumes. 45(16). 1294–1299. 6 indexed citations
14.
Hartmann, András, Susana Vinga, & João M. Lemos. (2012). IDENTIFICATION OF HIV-1 DYNAMICS - Estimating the Noise Model, Constant and Time-varying Parameters of Long-term Clinical Data. 286–289. 2 indexed citations
15.
Hartmann, András, et al.. (2012). Real-time fractal signal processing in the time domain. Physica A Statistical Mechanics and its Applications. 392(1). 89–102. 22 indexed citations
16.
Hartmann, András. (2010). Reconstruction of missing cardiovascular signals using adaptive filtering. Computing in Cardiology. 321–324. 7 indexed citations
17.
Speit, Günter, Marie Vasquez, & András Hartmann. (2008). The comet assay as an indicator test for germ cell genotoxicity. Mutation Research/Reviews in Mutation Research. 681(1). 3–12. 80 indexed citations
18.
19.
Hartmann, András. (1986). Software of silicon? the designer's option. Proceedings of the IEEE. 74(6). 861–874. 6 indexed citations
20.
Reichart, Bruno, et al.. (1983). [Left ventricular function in the myocardial regions of the 3 principal coronary arteries. Effect of complete revascularization].. PubMed. 8(4). 211–20. 1 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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