Anirban Guha

3.2k total citations
127 papers, 2.4k citations indexed

About

Anirban Guha is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Molecular Biology. According to data from OpenAlex, Anirban Guha has authored 127 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Civil and Structural Engineering, 24 papers in Mechanics of Materials and 19 papers in Molecular Biology. Recurrent topics in Anirban Guha's work include Mechanical Behavior of Composites (17 papers), Ocean Waves and Remote Sensing (12 papers) and Oceanographic and Atmospheric Processes (9 papers). Anirban Guha is often cited by papers focused on Mechanical Behavior of Composites (17 papers), Ocean Waves and Remote Sensing (12 papers) and Oceanographic and Atmospheric Processes (9 papers). Anirban Guha collaborates with scholars based in India, United States and Canada. Anirban Guha's co-authors include Yale Nemerson, Mark B. Taubman, R Bach, Ram Balachandar, R. M. Barron, R. Chattopadhyay, Steven D. Carson, Ross Se, William H. Konigsberg and P. Seshu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Anirban Guha

117 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anirban Guha India	24	727	406	249	216	211	127	2.4k
Xiaowu Zhang Singapore	33	459 0.6×	724 1.8×	164 0.7×	248 1.1×	213 1.0×	261	4.7k
Shuguang Jiang China	36	176 0.2×	1.7k 4.2×	969 3.9×	311 1.4×	149 0.7×	148	5.3k
Koichi Masuda United States	63	104 0.1×	1.2k 3.0×	182 0.7×	106 0.5×	120 0.6×	327	12.2k
Hua Huang China	35	302 0.4×	596 1.5×	1.6k 6.3×	91 0.4×	208 1.0×	149	3.9k
Weiguo Zhang China	32	634 0.9×	1.1k 2.7×	822 3.3×	84 0.4×	53 0.3×	114	3.7k
Hiroshi Tsukamoto Japan	39	488 0.7×	1.1k 2.7×	1.9k 7.6×	556 2.6×	405 1.9×	229	5.8k
Noboru Fujimoto Japan	37	641 0.9×	1.0k 2.5×	254 1.0×	19 0.1×	20 0.1×	179	4.5k
H.J. Sutherland United States	20	1.1k 1.5×	559 1.4×	510 2.0×	312 1.4×	204 1.0×	80	2.5k
Salvatore P. Sutera United States	25	172 0.2×	163 0.4×	50 0.2×	98 0.5×	51 0.2×	55	2.5k
Makoto Kaneko Japan	26	244 0.3×	265 0.7×	107 0.4×	28 0.1×	27 0.1×	214	2.2k

Countries citing papers authored by Anirban Guha

Since Specialization

Citations

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

Fields of papers citing papers by Anirban Guha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anirban Guha

This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Guha. A scholar is included among the top collaborators of Anirban Guha 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 Anirban Guha. Anirban Guha 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

Bernthaler, Timo, et al.. (2025). Microstructural damage dependent machine learning model to predict stiffness reduction in damaged GFRP composites. Journal of Reinforced Plastics and Composites.

Bernthaler, Timo, et al.. (2025). 3D damage evolution and microstructural-based machine learning model for stiffness prediction in woven composite under cyclic loads. International Journal of Fatigue. 197. 108913–108913. 3 indexed citations

Sengupta, Aditi & Anirban Guha. (2025). A numerical study of design and off-design operations of SHM1 airfoil. SHILAP Revista de lepidopterología. 4.

Bernthaler, Timo, et al.. (2024). Comparison of damage mechanisms in chopped strand mat and woven roving mat composites under cyclic tension. Polymer Composites. 45(12). 11162–11177. 2 indexed citations

Banerjee, Sauvik, et al.. (2024). Numerical study of nonlinear interaction of the guided wave due to breathing type debonding in stiffened panel. Engineering Research Express. 6(1). 15529–15529. 1 indexed citations

Balamurugan, V., Rakshit Ojha, K. Vinod Kumar, et al.. (2024). Post-Vaccination Sero-Monitoring of Peste des Petits Ruminants in Sheep and Goats in Karnataka: Progress towards PPR Eradication in India. Viruses. 16(3). 333–333. 5 indexed citations

Guha, Anirban, et al.. (2024). Understanding Stokes Drift Mechanism via Crest and Trough Phase Estimates. Journal of Physical Oceanography. 54(5). 1143–1151. 1 indexed citations

Carpenter, Jeffrey R. & Anirban Guha. (2024). Blocking effects on mean ocean currents by offshore wind farm foundations. Physical Review Fluids. 9(10). 2 indexed citations

Guha, Anirban, et al.. (2023). Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring. SHILAP Revista de lepidopterología. 6(1). 18–40. 1 indexed citations

10.

Yerramalli, Chandra Sekher, et al.. (2023). Analytical modeling of the ballistic impact performance of glass fabric - epoxy composites at low temperatures. International Journal of Impact Engineering. 176. 104565–104565. 9 indexed citations

11.

Heifetz, Eyal, et al.. (2019). On the role of the baroclinic torque on surface gravity wave propagation. arXiv (Cornell University). 1 indexed citations

12.

Heifetz, Eyal & Anirban Guha. (2019). Normal form of synchronization and resonance between vorticity waves in shear flow instability. Physical review. E. 100(4). 43105–43105. 5 indexed citations

13.

Senthilnathan, K., et al.. (2018). Mechanistic model for fiber crack density prediction in cyclically loaded carbon fiber-reinforced polymer during the damage initiation phase. Journal of Composite Materials. 53(8). 993–1004. 5 indexed citations

14.

Guha, Anirban, et al.. (2016). Bearing Health Monitoring. SHILAP Revista de lepidopterología. 4 indexed citations

15.

Guha, Anirban, et al.. (2013). Evolution of a barotropic shear layer into elliptical vortices. Physical Review E. 87(1). 13020–13020. 10 indexed citations

16.

Balaprakash, Prasanna, Darius Buntinas, Anthony Chan, et al.. (2012). Abstract: An Exascale Workload Study. 1463–1464. 1 indexed citations

17.

Guha, Anirban. (2011). Adjustable Mechanism for Walking Robots with Minimum Number of Actuators. Chinese Journal of Mechanical Engineering. 24(5). 760–760. 3 indexed citations

18.

Banerjee, P., R. Chattopadhyay, & Anirban Guha. (2002). Investigations into homogeneity of coir fibres. Indian Journal of Fibre & Textile Research. 27(2). 111–116. 11 indexed citations

19.

Taubman, Mark B., et al.. (1993). Agonist-mediated tissue factor expression in cultured vascular smooth muscle cells. Role of Ca2+ mobilization and protein kinase C activation.. Journal of Clinical Investigation. 91(2). 547–552. 132 indexed citations

20.

Guha, Anirban, et al.. (1964). Effect of carrageenin on the incorporation of S-35-sulphate and C14-glucose into cultivated connective tissue mucopolysaccharides.. PubMed. 1(3). 121–4. 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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