Shekhar Bhansali

11.8k total citations · 2 hit papers
292 papers, 9.2k citations indexed

About

Shekhar Bhansali is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Bioengineering. According to data from OpenAlex, Shekhar Bhansali has authored 292 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Electrical and Electronic Engineering, 128 papers in Biomedical Engineering and 63 papers in Bioengineering. Recurrent topics in Shekhar Bhansali's work include Analytical Chemistry and Sensors (63 papers), Electrochemical sensors and biosensors (41 papers) and Gas Sensing Nanomaterials and Sensors (28 papers). Shekhar Bhansali is often cited by papers focused on Analytical Chemistry and Sensors (63 papers), Electrochemical sensors and biosensors (41 papers) and Gas Sensing Nanomaterials and Sensors (28 papers). Shekhar Bhansali collaborates with scholars based in United States, India and Australia. Shekhar Bhansali's co-authors include Sunil K. Arya, Ajeet Kaushik, Pandiaraj Manickam, Abhay Vasudev, Shyam Aravamudhan, Nezih Pala, Yogeswaran Umasankar, Madhavan Nair, L. K. BURTON and Ahmed Hasnain Jalal and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Shekhar Bhansali

285 papers receiving 8.9k citations

Hit Papers

Recent advances in ZnO nanostructures and thin films for ... 2012 2026 2016 2021 2012 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shekhar Bhansali United States 55 4.2k 4.2k 1.7k 1.6k 1.4k 292 9.2k
Fenghua Li China 47 3.4k 0.8× 1.8k 0.4× 1.3k 0.7× 3.5k 2.2× 613 0.4× 300 9.1k
Tae Hyun Kim South Korea 44 2.1k 0.5× 1.5k 0.4× 1.8k 1.1× 2.0k 1.3× 699 0.5× 317 8.7k
Corrado Di Natale Italy 64 5.8k 1.4× 9.9k 2.4× 1.5k 0.9× 3.1k 1.9× 3.7k 2.7× 549 15.4k
John Bosco Balaguru Rayappan India 51 4.8k 1.1× 3.0k 0.7× 1.2k 0.7× 2.6k 1.6× 2.0k 1.4× 341 9.8k
M. Jamal Deen Canada 67 9.4k 2.3× 4.8k 1.1× 605 0.4× 1.2k 0.7× 1.6k 1.1× 603 17.1k
Yang Li China 57 5.2k 1.2× 5.6k 1.4× 1.1k 0.7× 2.4k 1.5× 841 0.6× 633 12.8k
Sandro Carrara Switzerland 40 3.4k 0.8× 2.7k 0.7× 2.0k 1.2× 604 0.4× 1.4k 1.0× 366 6.4k
Silvana Andreescu United States 54 3.6k 0.9× 2.5k 0.6× 2.8k 1.7× 2.7k 1.7× 895 0.6× 181 8.8k
Wouter Olthuis Netherlands 41 4.3k 1.0× 4.2k 1.0× 434 0.3× 1.0k 0.6× 2.3k 1.7× 244 8.0k
Dermot Diamond Ireland 67 6.1k 1.5× 7.6k 1.8× 1.7k 1.0× 2.7k 1.7× 5.7k 4.0× 455 17.0k

Countries citing papers authored by Shekhar Bhansali

Since Specialization
Citations

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

Fields of papers citing papers by Shekhar Bhansali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shekhar Bhansali

This figure shows the co-authorship network connecting the top 25 collaborators of Shekhar Bhansali. A scholar is included among the top collaborators of Shekhar Bhansali 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 Shekhar Bhansali. Shekhar Bhansali 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.
Souza, Fernando Gomes de, et al.. (2025). Sustainable catalysts: Advances in geopolymer-catalyzed reactions and their applications. Journal of Molecular Structure. 1336. 142017–142017. 1 indexed citations
2.
Souza, Fernando Gomes de, et al.. (2025). Leveraging large language models for accelerated learning and innovation in biogenic tissue-engineered vascular grafts. Journal of Drug Delivery Science and Technology. 108. 106935–106935. 1 indexed citations
3.
Pérez, Maximiliano, et al.. (2024). Droplets for Gene Editing Using CRISPR-Cas9 and Clonal Selection Improvement Using Hydrogels. Micromachines. 15(3). 413–413. 3 indexed citations
4.
Basu, Adreeja, et al.. (2024). Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer. Nanoscale. 16(11). 5458–5486. 34 indexed citations
5.
Namuduri, Srikanth, et al.. (2023). AI Enabled Ensemble Deep Learning Method for Automated Sensing and Quantification of DNA Damage in Comet Assay. SHILAP Revista de lepidopterología. 2(1). 11401–11401. 10 indexed citations
6.
Bodas, Dhananjay, et al.. (2023). Active microfluidic reactor-assisted controlled synthesis of nanoparticles and related potential biomedical applications. Journal of Materials Chemistry B. 11(25). 5650–5667. 17 indexed citations
7.
Bhansali, Shekhar, et al.. (2023). Advanced Multi-functional Sensors for In-situ Soil Parameters for Sustainable Agriculture. The Electrochemical Society Interface. 32(4). 55–60. 3 indexed citations
8.
Dong, Dongmei, et al.. (2022). Pseudocapacitive Charge Storage in Electrochromic Transition-Metal Oxide Thin Films. Journal of The Electrochemical Society. 169(8). 80511–80511. 10 indexed citations
9.
Bourguignon, Natalia, et al.. (2022). New dynamic microreactor system to mimic biofilm formation and test anti-biofilm activity of nanoparticles. Applied Microbiology and Biotechnology. 106(7). 2729–2738. 5 indexed citations
10.
Dong, Dongmei, et al.. (2022). Revealing nanomechanical deformation at the interface and degradation in all-thin-film inorganic electrochromic devices. Nanoscale. 15(7). 3438–3448. 6 indexed citations
11.
Bourguignon, Natalia, R. Booth, Marı́a Silvina Juárez Tomás, et al.. (2022). Bioremediation on a chip: A portable microfluidic device for efficient screening of bacterial biofilm with polycyclic aromatic hydrocarbon removal capacity. Chemosphere. 303(Pt 2). 135001–135001. 5 indexed citations
12.
Kaushik, Ajeet, et al.. (2022). Multimodal Single-Entity Electrochemical Fluoride Sensor for Fuel Cell Membrane Degradation Diagnostics. 1(3). 35601–35601. 14 indexed citations
13.
Khosla, Ajit, Kumkum Ahmed, Trisha L. Andrew, et al.. (2020). Preface—Sensor Reviews. Journal of The Electrochemical Society. 167(3). 30001–30001. 1 indexed citations
14.
Sekar, M., Sriramprabha Ramasamy, Praveen Kumar Sekhar, et al.. (2020). Review—Towards Wearable Sensor Platforms for the Electrochemical Detection of Cortisol. Journal of The Electrochemical Society. 167(6). 67508–67508. 89 indexed citations
15.
Jalal, Ahmed Hasnain, et al.. (2018). A Model for Safe Transport of Critical Patients in Unmanned Drones with a ‘Watch’ Style Continuous Anesthesia Sensor. Journal of The Electrochemical Society. 165(8). B3071–B3077. 12 indexed citations
16.
Torres, Ingrid, Sadegh Mehdi Aghaei, Amin Rabiei Baboukani, Chunlei Wang, & Shekhar Bhansali. (2018). Individual Gas Molecules Detection Using Zinc Oxide–Graphene Hybrid Nanosensor: A DFT Study. SHILAP Revista de lepidopterología. 4(3). 44–44. 24 indexed citations
17.
Misra, Veena, Shekhar Bhansali, John Lach, et al.. (2015). Self-powered wearable sensor platforms for wellness. 187–187.
18.
Kaushik, Ajeet, Sunil K. Arya, Abhay Vasudev, & Shekhar Bhansali. (2013). Recent Advances in Detection of Ochratoxin-A. 2(1). 1–11. 27 indexed citations
19.
Bhansali, Shekhar, et al.. (1991). Synthesizing UNIX shell scripts using derivational analogy: an empirical assessment. National Conference on Artificial Intelligence. 5. 521–526. 4 indexed citations
20.
Bhansali, Shekhar, et al.. (1989). Program derivation using analogy. International Joint Conference on Artificial Intelligence. 389–394. 15 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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