Sarbartha Sarkar

542 total citations
8 papers, 355 citations indexed

About

Sarbartha Sarkar is a scholar working on Civil and Structural Engineering, Water Science and Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sarbartha Sarkar has authored 8 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Civil and Structural Engineering, 4 papers in Water Science and Technology and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sarbartha Sarkar's work include Water Quality Monitoring Technologies (4 papers), Structural Health Monitoring Techniques (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). Sarbartha Sarkar is often cited by papers focused on Water Quality Monitoring Technologies (4 papers), Structural Health Monitoring Techniques (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). Sarbartha Sarkar collaborates with scholars based in India, Egypt and Romania. Sarbartha Sarkar's co-authors include Nilanjan Dey, Sankhadeep Chatterjee, Amira S. Ashour, Sirshendu Hore, Valentina Emilia Bălaş, Soumya Sen, Fuqian Shi, Takaaki Goto, Narayan C. Debnath and Dac‐Nhuong Le and has published in prestigious journals such as Neural Computing and Applications, Geotechnical and Geological Engineering and STRUCTURAL ENGINEERING AND MECHANICS.

In The Last Decade

Sarbartha Sarkar

8 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarbartha Sarkar India	7	95	78	51	40	38	8	355
Gaurang Panchal India	5	88 0.9×	30 0.4×	57 1.1×	50 1.3×	67 1.8×	8	402
Jianyu Wang China	12	109 1.1×	46 0.6×	43 0.8×	14 0.3×	42 1.1×	46	426
Ali Braytee Australia	12	114 1.2×	33 0.4×	86 1.7×	28 0.7×	56 1.5×	40	360
Tobias Pielok Germany	2	135 1.4×	28 0.4×	23 0.5×	33 0.8×	53 1.4×	2	434
Maryam Amiri Iran	10	99 1.0×	148 1.9×	28 0.5×	29 0.7×	21 0.6×	20	554
Xiaodong Qiao China	7	114 1.2×	38 0.5×	59 1.2×	20 0.5×	30 0.8×	25	363
Muhammad Zubair Rehman Malaysia	9	159 1.7×	19 0.2×	57 1.1×	42 1.1×	55 1.4×	31	419
Shanshan Zhang China	15	161 1.7×	34 0.4×	113 2.2×	23 0.6×	63 1.7×	58	681
Weijie Wang China	4	82 0.9×	18 0.2×	22 0.4×	43 1.1×	43 1.1×	13	381
Mohammad Solgi Iran	8	46 0.5×	90 1.2×	13 0.3×	53 1.3×	37 1.0×	12	291

Countries citing papers authored by Sarbartha Sarkar

Since Specialization

Citations

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

Fields of papers citing papers by Sarbartha Sarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarbartha Sarkar

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

All Works

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8 of 8 papers shown

Sarkar, Sarbartha, et al.. (2019). Experimental and Numerical Simulation of Crack Propagation in Sandstone by Semi Circular Bend Test. Geotechnical and Geological Engineering. 37(4). 3157–3169. 9 indexed citations

Chatterjee, Sankhadeep, Sarbartha Sarkar, Nilanjan Dey, & Soumya Sen. (2018). Non-Dominated Sorting Genetic Algorithm-II-Induced Neural-Supported Prediction of Water Quality with Stability Analysis. Journal of Information & Knowledge Management. 17(2). 1850016–1850016. 4 indexed citations

Chatterjee, Sankhadeep, Sarbartha Sarkar, Sirshendu Hore, et al.. (2017). Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm. STRUCTURAL ENGINEERING AND MECHANICS. 63(4). 429–438. 35 indexed citations

Chatterjee, Sankhadeep, Sarbartha Sarkar, Nilanjan Dey, et al.. (2017). Application of cuckoo search in water quality prediction using artificial neural network. 6(2/3). 229–229. 15 indexed citations

Chatterjee, Sankhadeep, Sarbartha Sarkar, Nilanjan Dey, et al.. (2017). Water quality prediction: Multi objective genetic algorithm coupled artificial neural network based approach. 963–968. 31 indexed citations

Hassanien, Aboul Ella, Amira S. Ashour, Soumya Sen, et al.. (2017). Application of cuckoo search in water quality prediction using artificial neural network. 6(2/3). 229–229. 16 indexed citations

Hore, Sirshendu, Sankhadeep Chatterjee, Sarbartha Sarkar, et al.. (2016). Neural-based prediction of structural failure of multistoried RC buildings. STRUCTURAL ENGINEERING AND MECHANICS. 58(3). 459–473. 36 indexed citations

Chatterjee, Sankhadeep, Sarbartha Sarkar, Sirshendu Hore, et al.. (2016). Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings. Neural Computing and Applications. 28(8). 2005–2016. 209 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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