Mandar Kulkarni

629 total citations
34 papers, 372 citations indexed

About

Mandar Kulkarni is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Mandar Kulkarni has authored 34 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Ocean Engineering. Recurrent topics in Mandar Kulkarni's work include DNA and Nucleic Acid Chemistry (7 papers), Reservoir Engineering and Simulation Methods (6 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Mandar Kulkarni is often cited by papers focused on DNA and Nucleic Acid Chemistry (7 papers), Reservoir Engineering and Simulation Methods (6 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Mandar Kulkarni collaborates with scholars based in India, British Virgin Islands and Sweden. Mandar Kulkarni's co-authors include Arnab Mukherjee, Shirish Karande, Aria Abubakar, Kalpesh Patil, Youngshang Pak, Srikanth Ryali, Manho Lim, Vikas Jain, Po-Yen Wu and A. N. Rajagopalan and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Mandar Kulkarni

30 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mandar Kulkarni India	11	112	73	58	50	41	34	372
Qinglong Chen China	13	71 0.6×	38 0.5×	99 1.7×	31 0.6×	7 0.2×	47	449
Ze Liu China	10	35 0.3×	38 0.5×	39 0.7×	75 1.5×	11 0.3×	27	294
Shengyuan Zhang China	11	58 0.5×	34 0.5×	46 0.8×	138 2.8×	46 1.1×	45	610
Liyuan Li China	11	49 0.4×	156 2.1×	51 0.9×	40 0.8×	74 1.8×	19	746
Jiacong Xu China	7	19 0.2×	202 2.8×	31 0.5×	26 0.5×	48 1.2×	13	605
Sheng Gao China	11	20 0.2×	42 0.6×	29 0.5×	42 0.8×	27 0.7×	47	328
Lele Xu China	14	19 0.2×	57 0.8×	120 2.1×	31 0.6×	80 2.0×	30	396
Zhang Pin China	10	21 0.2×	51 0.7×	38 0.7×	29 0.6×	4 0.1×	30	320
Jiaxuan Zhang China	9	17 0.2×	17 0.2×	50 0.9×	38 0.8×	17 0.4×	36	271

Countries citing papers authored by Mandar Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Mandar Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandar Kulkarni

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

Kulkarni, Mandar, et al.. (2023). Machine Learning Techniques for Crop Yield Prediction and Recommendation. International Research Journal of Modernization in Engineering Technology and Science. 1 indexed citations

Kulkarni, Mandar, et al.. (2023). Label efficient semi-supervised conversational intent classification. 96–102. 4 indexed citations

Kulkarni, Mandar, et al.. (2023). Comparative analysis of RNA secondary structure accuracy on predicted RNA 3D models. PLoS ONE. 18(9). e0290907–e0290907. 1 indexed citations

Kulkarni, Mandar & Pär Söderhjelm. (2023). Free-Energy Landscape and Rate Estimation of the Aromatic Ring Flips in Basic Pancreatic Trypsin Inhibitors Using Metadynamics. Journal of Chemical Theory and Computation. 19(19). 6605–6618. 2 indexed citations

Kulkarni, Mandar, et al.. (2023). Violent Activity Detection on Public Transportation using Surveillance Footage. 737–742. 1 indexed citations

Gupta, Abhijit, Mandar Kulkarni, & Arnab Mukherjee. (2021). Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake. Patterns. 2(9). 100329–100329. 11 indexed citations

Kulkarni, Mandar, et al.. (2021). Deep Similarity Learning for Well Test Model Identification. 4 indexed citations

Abubakar, Aria, et al.. (2021). Automating Well Log Correlation Workflow Using Soft Attention Convolutional Neural Networks. SPE Annual Technical Conference and Exhibition. 3 indexed citations

Kulkarni, Mandar, et al.. (2020). Interleaflet Decoupling in a Lipid Bilayer at Excess Cholesterol Probed by Spectroscopic Ellipsometry and Simulations. The Journal of Membrane Biology. 253(6). 647–659.

10.

Kulkarni, Mandar, et al.. (2018). Spectroscopic Ellipsometry of fluid and gel phase lipid bilayers in hydrated conditions. Colloids and Surfaces B Biointerfaces. 176. 55–61. 7 indexed citations

11.

Wu, Po-Yen, Vikas Jain, Mandar Kulkarni, & Aria Abubakar. (2018). Machine learning–based method for automated well-log processing and interpretation. 2041–2045. 30 indexed citations

12.

Kulkarni, Mandar, et al.. (2018). Refined Alkali Metal Ion Parameters for the OPC Water Model. Bulletin of the Korean Chemical Society. 39(8). 931–935. 5 indexed citations

13.

Kulkarni, Mandar, et al.. (2017). In silico direct folding of thrombin-binding aptamer G-quadruplex at all-atom level. Nucleic Acids Research. 45(22). 12648–12656. 37 indexed citations

14.

Kulkarni, Mandar & Arnab Mukherjee. (2017). Understanding B-DNA to A-DNA transition in the right-handed DNA helix: Perspective from a local to global transition. Progress in Biophysics and Molecular Biology. 128. 63–73. 29 indexed citations

15.

Kulkarni, Mandar & Arnab Mukherjee. (2015). Computational Approach to Explore the B/A Junction Free Energy in DNA. ChemPhysChem. 17(1). 147–154. 2 indexed citations

16.

Kulkarni, Mandar, et al.. (2014). Online Transient Simulation To Support Production Operations Planning in Wet Crude-Oil-Gathering System. SPE Latin America and Caribbean Petroleum Engineering Conference. 3 indexed citations

17.

Kulkarni, Mandar & A. N. Rajagopalan. (2013). Depth inpainting by tensor voting. Journal of the Optical Society of America A. 30(6). 1155–1155. 13 indexed citations

18.

Kulkarni, Mandar & Arnab Mukherjee. (2013). Sequence dependent free energy profiles of localized B- to A-form transition of DNA in water. The Journal of Chemical Physics. 139(15). 155102–155102. 17 indexed citations

19.

Kulkarni, Mandar, et al.. (2013). Tensor Voting based Lazy Learner for Pattern Classification.

20.

Kulkarni, Mandar & A. N. Rajagopalan. (2011). Tensor Voting Based Foreground Object Extraction. 86–89. 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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