Md. Nurujjaman

502 total citations
27 papers, 354 citations indexed

About

Md. Nurujjaman is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Md. Nurujjaman has authored 27 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 10 papers in Statistical and Nonlinear Physics and 9 papers in Computer Networks and Communications. Recurrent topics in Md. Nurujjaman's work include Complex Systems and Time Series Analysis (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and stochastic dynamics and bifurcation (8 papers). Md. Nurujjaman is often cited by papers focused on Complex Systems and Time Series Analysis (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and stochastic dynamics and bifurcation (8 papers). Md. Nurujjaman collaborates with scholars based in India, United States and Brazil. Md. Nurujjaman's co-authors include Arun Iyengar, R. Narayanan, P. Parmananda, Anjan Kumar Ray, Mo Jamshidi, Debi Prasad Bal, Argha Deb, Chiranjib Barman, Barun Kumar Thakur and Dipok K. Bora and has published in prestigious journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Physics of Plasmas.

In The Last Decade

Md. Nurujjaman

26 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Nurujjaman India 12 121 93 82 51 39 27 354
Mireille Bossy France 12 93 0.8× 43 0.5× 27 0.3× 21 0.4× 18 0.5× 47 587
Xiaojun Duan China 8 69 0.6× 13 0.1× 37 0.5× 21 0.4× 11 0.3× 52 380
Ruoxi Xiang Hong Kong 4 155 1.3× 203 2.2× 83 1.0× 29 0.6× 62 1.6× 4 399
Volker Jentsch Germany 7 99 0.8× 65 0.7× 46 0.6× 12 0.2× 28 0.7× 11 343
Ibiyinka Fuwape Nigeria 13 129 1.1× 127 1.4× 50 0.6× 18 0.4× 47 1.2× 51 443
Evgeny Loskutov Russia 14 67 0.6× 84 0.9× 40 0.5× 23 0.5× 38 1.0× 24 347
Harald Kinzelbach Germany 13 55 0.5× 27 0.3× 12 0.1× 26 0.5× 24 0.6× 22 611
Sucharita Ghosh Switzerland 11 32 0.3× 219 2.4× 14 0.2× 12 0.2× 15 0.4× 34 548
Kevin Sprague Canada 7 38 0.3× 96 1.0× 19 0.2× 4 0.1× 44 1.1× 11 384
Camilo Rodrigues Neto Brazil 11 101 0.8× 127 1.4× 75 0.9× 5 0.1× 8 0.2× 36 373

Countries citing papers authored by Md. Nurujjaman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Nurujjaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Nurujjaman

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Nurujjaman. A scholar is included among the top collaborators of Md. Nurujjaman 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 Md. Nurujjaman. Md. Nurujjaman 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.
Nurujjaman, Md., et al.. (2024). Complex network analysis of cryptocurrency market during crashes. Physica A Statistical Mechanics and its Applications. 653. 130095–130095. 2 indexed citations
2.
Nurujjaman, Md., et al.. (2024). High-frequency stock market order transitions during the US–China trade war 2018: A discrete-time Markov chain analysis. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(1). 5 indexed citations
3.
Nurujjaman, Md., et al.. (2024). Identifying extreme events in the stock market: A topological data analysis. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(10). 3 indexed citations
4.
Nurujjaman, Md., et al.. (2023). Detection and forecasting of extreme events in stock price triggered by fundamental, technical, and external factors. Chaos Solitons & Fractals. 173. 113716–113716. 8 indexed citations
5.
Thakur, Barun Kumar, et al.. (2023). Developing a model for residential water demand in the Indian Himalayan Region of Ravangla, South Sikkim, India. Groundwater for Sustainable Development. 21. 100923–100923. 3 indexed citations
6.
Deb, Argha, et al.. (2022). Simultaneous monitoring of soil 222Rn in the Eastern Himalayas and the geothermal region of eastern India: an earthquake precursor. Natural Hazards. 112(2). 1477–1502. 14 indexed citations
7.
Nurujjaman, Md., et al.. (2021). Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery. Physica A Statistical Mechanics and its Applications. 574. 126008–126008. 13 indexed citations
9.
Nurujjaman, Md., et al.. (2020). Time Scales and Characteristics of Stock Markets in Different Investment Horizons. Frontiers in Physics. 8. 8 indexed citations
10.
Bal, Debi Prasad, et al.. (2019). Identification of short-term and long-term time scales in stock markets and effect of structural break. Physica A Statistical Mechanics and its Applications. 545. 123612–123612. 12 indexed citations
11.
Deb, Argha, et al.. (2017). Identification of pre-seismic anomalies of soil radon-222 signal using Hilbert–Huang transform. Natural Hazards. 87(3). 1587–1606. 17 indexed citations
12.
Deka, Utpal, Ashok Rao, & Md. Nurujjaman. (2015). Multi-scale dynamics in externally excited glow discharge plasma. Physica Scripta. 90(12). 125602–125602. 6 indexed citations
13.
Nurujjaman, Md., Amit Apte, & P. N. Vinayachandran. (2013). Data assimilation using Ensemble Transform Kalman Filter (ETKF) in ROMS model for Indian Ocean. The European Physical Journal Special Topics. 222(3-4). 875–883. 5 indexed citations
14.
Nurujjaman, Md., et al.. (2012). Effect of discrete time observations on synchronization in Chua model and applications to data assimilation. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(2). 23125–23125. 3 indexed citations
15.
Nurujjaman, Md.. (2010). Modeling noise-induced resonance in an excitable system: An alternative approach. Physical Review E. 81(3). 36203–36203. 4 indexed citations
16.
Nurujjaman, Md., et al.. (2009). Comparative study of nonlinear properties of EEG signals of normal persons and epileptic patients. PubMed. 3(1). 6–6. 37 indexed citations
17.
Nurujjaman, Md., et al.. (2009). Coherence resonance in a unijunction transistor relaxation oscillator. Physical Review E. 80(1). 15201–15201. 9 indexed citations
18.
Nurujjaman, Md., Arun Iyengar, & P. Parmananda. (2008). Noise-invoked resonances near a homoclinic bifurcation in the glow discharge plasma. Physical Review E. 78(2). 26406–26406. 27 indexed citations
19.
Nurujjaman, Md., R. Narayanan, & Arun Iyengar. (2007). Parametric investigation of nonlinear fluctuations in a dc glow discharge plasma. Chaos An Interdisciplinary Journal of Nonlinear Science. 17(4). 43121–43121. 38 indexed citations
20.
Nurujjaman, Md. & Arun Iyengar. (2006). Realization of SOC behavior in a dc glow discharge plasma. Physics Letters A. 360(6). 717–721. 35 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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