Vijay Chandru

922 total citations
41 papers, 475 citations indexed

About

Vijay Chandru is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Vijay Chandru has authored 41 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Vijay Chandru's work include Genomics and Rare Diseases (4 papers), Advanced Graph Theory Research (4 papers) and 3D Shape Modeling and Analysis (4 papers). Vijay Chandru is often cited by papers focused on Genomics and Rare Diseases (4 papers), Advanced Graph Theory Research (4 papers) and 3D Shape Modeling and Analysis (4 papers). Vijay Chandru collaborates with scholars based in India, United States and South Africa. Vijay Chandru's co-authors include John Hooker, P. Balachandra, M. R. Rao, M. Mathirajan, A. Sivakumar, Vijay Kumar, Sharada Srinivasan, Santanu Chaudhury, Anshumali Shrivastava and Imran Babar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Energy Conversion and Management.

In The Last Decade

Vijay Chandru

34 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay Chandru India 12 104 93 74 69 65 41 475
Joseph Czyzyk United States 6 32 0.3× 120 1.3× 74 1.0× 112 1.6× 108 1.7× 7 564
Mingyan Jiang China 14 184 1.8× 39 0.4× 33 0.4× 77 1.1× 72 1.1× 66 485
Hong‐Fei Teng China 16 105 1.0× 70 0.8× 581 7.9× 46 0.7× 79 1.2× 52 921
Yannick Kergosien France 15 33 0.3× 65 0.7× 373 5.0× 31 0.4× 25 0.4× 32 866
Yipeng Wang China 13 135 1.3× 15 0.2× 31 0.4× 63 0.9× 166 2.6× 48 501
Charles Newton Australia 10 398 3.8× 333 3.6× 147 2.0× 76 1.1× 34 0.5× 13 796
Laura Galli Italy 12 44 0.4× 34 0.4× 311 4.2× 57 0.8× 76 1.2× 41 560
Mingchang Chih Taiwan 9 187 1.8× 72 0.8× 154 2.1× 74 1.1× 81 1.2× 30 459
Fabrizio Rossi Italy 14 53 0.5× 128 1.4× 296 4.0× 73 1.1× 201 3.1× 65 695
Chenyang Li China 11 227 2.2× 100 1.1× 28 0.4× 57 0.8× 106 1.6× 29 498

Countries citing papers authored by Vijay Chandru

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Chandru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Chandru

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Chandru. A scholar is included among the top collaborators of Vijay Chandru 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 Vijay Chandru. Vijay Chandru 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.
Kavathekar, Maithili, Bansidhar Tarai, Mandar T. Naik, et al.. (2025). PathCrisp: an innovative molecular diagnostic tool for early detection of NDM-resistant infections. Scientific Reports. 15(1). 490–490. 1 indexed citations
2.
Chandru, Vijay, et al.. (2025). MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India. BMC Medical Informatics and Decision Making. 25(1). 252–252.
3.
Arora, Reety, et al.. (2024). OmiCrisp: A CRISPR SARS-CoV-2 Test with Omicron Detection. 7(1). 1 indexed citations
4.
Mathew, Georgie, et al.. (2023). Catalyzing healthcare accessibility through cashless payment gateways in India: a digital revolution. The Lancet Regional Health - Southeast Asia. 23. 100288–100288.
5.
Espinoza, Baltazar, Aniruddha Adiga, Srinivasan Venkatramanan, et al.. (2023). Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions. Proceedings of the National Academy of Sciences. 120(48). e2305227120–e2305227120. 6 indexed citations
6.
Birur, Praveen, Sanjana Patrick, Saman Warnakulasuriya, et al.. (2022). Consensus guidelines on management of oral potentially malignant disorders. Indian Journal of Cancer. 59(3). 442–453. 16 indexed citations
7.
Chandru, Vijay, et al.. (2022). Reimagining India’s Health System: Technology Levers for Universal Health Care. Journal of the Indian Institute of Science. 102(2). 743–752. 2 indexed citations
8.
Mahadevan, Jayant, Reeteka Sud, Ravi Kumar Nadella, et al.. (2021). Targeted Sequencing Detects Variants That May Contribute to the Risk of Neuropsychiatric Disorders. Indian Journal of Psychological Medicine. 44(5). 516–522. 1 indexed citations
9.
Chandru, Vijay, et al.. (2018). A Partial Instantiation Based First Order Theorem Prover. Archives of Biochemistry and Biophysics. 333(1). 27–34.
10.
Chaudhury, Santanu, et al.. (2017). Digital Hampi: Preserving Indian Cultural Heritage. 15 indexed citations
11.
Rajasimha, Harsha, Preveen Ramamoorthy, Madhuri Hegde, et al.. (2014). Organization for rare diseases India (ORDI) – addressing the challenges and opportunities for the Indian rare diseases' community. Genetics Research. 96. e009–e009. 29 indexed citations
12.
Mathirajan, M., Vijay Chandru, & A. Sivakumar. (2007). Heuristic algorithms for scheduling heat-treatment furnaces of steel casting industries. Sadhana. 32(5). 479–500. 33 indexed citations
13.
Mathirajan, M., Appa Iyer Sivakumar, & Vijay Chandru. (2004). SCHEDULING ALGORITHMS AND SENSITIVITY ANALYSIS FOR HETEROGENEOUS BATCH PROCESSORS WITH INCOMPATIBLE JOB FAMILIES. Journal of the Chinese Institute of Industrial Engineers. 21(1). 18–26. 1 indexed citations
14.
Chandru, Vijay, et al.. (2003). The algorithmics of folding proteins on lattices. Discrete Applied Mathematics. 127(1). 145–161. 18 indexed citations
15.
Chandru, Vijay, M. R. Rao, & G. Jawahar Swaminathan. (2002). Protein Folding on Lattices: An Integer Programming Approach. SSRN Electronic Journal. 1 indexed citations
16.
Chandru, Vijay, et al.. (2002). Volume sculpting and keyframe animation system. 134–139.
17.
Chandru, Vijay, et al.. (2000). Optimization Methods for Logical Inference. Journal of the Operational Research Society. 51(2). 246–246. 76 indexed citations
18.
Chandru, Vijay, et al.. (1997). Volume modelling for emerging manufacturing technologies. Sadhana. 22(2). 199–216. 3 indexed citations
19.
Bhadury, Joyendu, Vijay Chandru, Anil Maheshwari, & R. Chandrasekaran. (1997). Art Gallery Problems for Convex Nested Polygons. INFORMS journal on computing. 9(1). 100–110. 1 indexed citations
20.
Chandru, Vijay, et al.. (1996). Proceedings of the 16th Conference on Foundations of Software Technology and Theoretical Computer Science. 2 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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