Iván Mura

986 total citations
49 papers, 585 citations indexed

About

Iván Mura is a scholar working on Molecular Biology, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Iván Mura has authored 49 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Iván Mura's work include Gene Regulatory Network Analysis (12 papers), Air Quality and Health Impacts (8 papers) and Reliability and Maintenance Optimization (8 papers). Iván Mura is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), Air Quality and Health Impacts (8 papers) and Reliability and Maintenance Optimization (8 papers). Iván Mura collaborates with scholars based in Italy, Colombia and China. Iván Mura's co-authors include Andrea Bondavalli, Juan Felipe Franco, Attila Csikász‐Nagy, Hiroyuki Kuwahara, Félicita Di Giandomenico, Silvano Chiaradonna, István Majzik, Matteo Cavaliere, Adaoha Ihekwaba and Gary C. Barker and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Bacteriology.

In The Last Decade

Iván Mura

47 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván Mura Italy 13 194 176 134 123 90 49 585
Alireza Khanteymoori Iran 11 10 0.1× 43 0.2× 107 0.8× 94 0.8× 39 0.4× 36 429
Frank Jensen Denmark 8 35 0.2× 13 0.1× 45 0.3× 72 0.6× 42 0.5× 9 718
A. Wayne Wymore United States 10 48 0.2× 60 0.3× 7 0.1× 13 0.1× 74 0.8× 16 543
Sandeep Kumar India 11 180 0.9× 11 0.1× 20 0.1× 47 0.4× 6 0.1× 65 538
G.Y. Hong New Zealand 13 100 0.5× 76 0.4× 4 0.0× 8 0.1× 8 0.1× 50 550
Severino F. Galán Spain 11 8 0.0× 17 0.1× 16 0.1× 46 0.4× 42 0.5× 18 323
B.W.M. Bettonvil Netherlands 9 46 0.2× 9 0.1× 6 0.0× 70 0.6× 92 1.0× 18 361
Alexandra A. Vagis Ukraine 3 19 0.1× 11 0.1× 44 0.3× 29 0.2× 14 0.2× 11 342
Michael Dyer United States 9 455 2.3× 94 0.5× 2 0.0× 12 0.1× 68 0.8× 19 885
Boya Wei China 9 10 0.1× 32 0.2× 8 0.1× 89 0.7× 129 1.4× 9 566

Countries citing papers authored by Iván Mura

Since Specialization
Citations

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

Fields of papers citing papers by Iván Mura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Mura

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Mura. A scholar is included among the top collaborators of Iván Mura 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 Iván Mura. Iván Mura 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.
Díaz, Juan José, Iván Mura, Juan Felipe Franco, & Raha Akhavan‐Tabatabaei. (2021). aiRe - A web-based R application for simple, accessible and repeatable analysis of urban air quality data. Environmental Modelling & Software. 138. 104976–104976. 6 indexed citations
2.
3.
Franco, Juan Felipe, et al.. (2020). Simulation to Predict the Impact of Public Transport Changes on Air Pollutants Emissions. DEStech Transactions on Computer Science and Engineering. 1 indexed citations
4.
Franco, Juan Felipe, et al.. (2018). Simulation to predict cyclists' exposure to air pollution along bikeways. Winter Simulation Conference. 2387–2398. 4 indexed citations
5.
Mura, Iván, et al.. (2018). Machine Learning Techniques for PM 10 Levels Forecast in Bogotá. 1 indexed citations
6.
Ramírez, Omar, Iván Mura, & Juan Felipe Franco. (2017). How Do People Understand Urban Air Pollution? Exploring Citizens’ Perception on Air Quality, Its Causes and Impacts in Colombian Cities. 6(1). 1–17. 19 indexed citations
7.
Lecca, Paola, et al.. (2016). Computational Systems Biology: Inference and Modelling. Open Repository and Bibliography (University of Luxembourg). 2 indexed citations
8.
Lecca, Paola, Iván Mura, Angela Re, Gary C. Barker, & Adaoha Ihekwaba. (2016). Time Series Analysis of the Bacillus subtilis Sporulation Network Reveals Low Dimensional Chaotic Dynamics. Frontiers in Microbiology. 7. 1760–1760. 4 indexed citations
9.
Akhavan‐Tabatabaei, Raha, et al.. (2016). A compartmentalized simulation model for evaluation of HPV vaccination policies in Colombia. 2016 Winter Simulation Conference (WSC). 42. 1994–2005. 1 indexed citations
10.
Ihekwaba, Adaoha, Iván Mura, John Walshaw, Michael W. Peck, & Gary C. Barker. (2016). An Integrative Approach to Computational Modelling of the Gene Regulatory Network Controlling Clostridium botulinum Type A1 Toxin Production. PLoS Computational Biology. 12(11). e1005205–e1005205. 9 indexed citations
11.
Csikász‐Nagy, Attila & Iván Mura. (2015). Role of Computational Modeling in Understanding Cell Cycle Oscillators. Methods in molecular biology. 1342. 59–70. 2 indexed citations
12.
Ihekwaba, Adaoha, Iván Mura, Michael W. Peck, & Gary C. Barker. (2015). The pattern of growth observed forClostridium botulinumtype A1 strain ATCC 19397 is influenced by nutritional status and quorum sensing: a modelling perspective. Pathogens and Disease. 73(9). ftv084–ftv084. 4 indexed citations
13.
Ihekwaba, Adaoha, Iván Mura, Pradeep K. Malakar, et al.. (2015). New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food. Journal of Bacteriology. 198(2). 204–211. 5 indexed citations
14.
Ihekwaba, Adaoha, Iván Mura, & Gary C. Barker. (2014). Computational modelling and analysis of the molecular network regulating sporulation initiation in Bacillus subtilis. BMC Systems Biology. 8(1). 119–119. 6 indexed citations
15.
Csikász‐Nagy, Attila & Iván Mura. (2010). Role of mRNA Gestation and Senescence in Noise Reduction during the Cell Cycle. In Silico Biology. 10(1,2). 81–88. 3 indexed citations
16.
Kuwahara, Hiroyuki, et al.. (2010). Effecient Stochastic Simulation to Analyze Targeted Properties of Biological Systems. Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech). 3 indexed citations
17.
Mura, Iván & Attila Csikász‐Nagy. (2008). Stochastic Petri Net extension of a yeast cell cycle model. Journal of Theoretical Biology. 254(4). 850–860. 39 indexed citations
18.
Ballarini, Paolo, Iván Mura, & Radu Mardare. (2008). Query-based Verification of Biochemical Oscillations through Probabilistic Model Checking. Institutional Research Information System (Università degli Studi di Trento). 1 indexed citations
19.
Bondavalli, Andrea, et al.. (2002). DEEM: a tool for the dependability modeling and evaluation of multiple phased systems. ISTI Open Portal. 231–236. 20 indexed citations
20.
Mura, Iván, et al.. (1996). Real-Time Multiprocessor Systems: Performability Evaluation. OpenGrey (Institut de l'Information Scientifique et Technique). 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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