Rishikesh Magar

854 total citations
17 papers, 523 citations indexed

About

Rishikesh Magar is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Rishikesh Magar has authored 17 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 8 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Rishikesh Magar's work include Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (8 papers) and X-ray Diffraction in Crystallography (3 papers). Rishikesh Magar is often cited by papers focused on Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (8 papers) and X-ray Diffraction in Crystallography (3 papers). Rishikesh Magar collaborates with scholars based in United States and Canada. Rishikesh Magar's co-authors include Amir Barati Farimani, Yuyang Wang, Zhonglin Cao, Lu Xu, Samira Siahrostami, Mohammadreza Karamad, Ian D. Gates, Yuting Shi, Liang Chen and Peiyuan Li and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry C and Sensors.

In The Last Decade

Rishikesh Magar

16 papers receiving 512 citations

Peers

Countries citing papers authored by Rishikesh Magar

Since Specialization

Citations

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

Fields of papers citing papers by Rishikesh Magar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishikesh Magar

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	MOFGPT: Generative Design of Metal–Organic Frameworks using Language Models 2025 ·Journal of Chemical Information and Modeling ·(unknown), Rishikesh Magar, (unknown), (unknown), Amir Barati Farimani	3
2	GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models 2024 ·Journal of Chemical Information and Modeling ·(unknown), (unknown), (unknown), Rishikesh Magar, Amir Barati Farimani	9
3	Pretraining Strategies for Structure Agnostic Material Property Prediction 2024 ·Journal of Chemical Information and Modeling ·(unknown), Rishikesh Magar, Amir Barati Farimani	5
4	Multimodal language and graph learning of adsorption configuration in catalysis 2024 ·Nature Machine Intelligence ·(unknown), (unknown), Rishikesh Magar, (unknown), Amir Barati Farimani	25
5	ManufacturingNet: A machine learning toolbox for engineers 2023 ·SoftwareX ·(unknown), (unknown), Rishikesh Magar, (unknown), (unknown), (unknown), (unknown), Amir Barati Farimani	0
6	Learning from mistakes: Sampling strategies to efficiently train machine learning models for material property prediction 2023 ·Computational Materials Science ·Rishikesh Magar, Amir Barati Farimani	14
7	MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction 2023 ·Journal of the American Chemical Society ·Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani	98
8	Forecasting COVID-19 new cases using deep learning methods 2022 ·Computers in Biology and Medicine ·Lu Xu, Rishikesh Magar, Amir Barati Farimani	65
9	AugLiChem: data augmentation library of chemical structures for machine learning 2022 ·Machine Learning Science and Technology ·Rishikesh Magar, Yuyang Wang, (unknown), Liang Chen, (unknown), Peiyuan Li, Amir Barati Farimani	25
10	Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast 2022 ·Journal of Chemical Information and Modeling ·Yuyang Wang, Rishikesh Magar, Liang Chen, Amir Barati Farimani	48
11	Crystal twins: self-supervised learning for crystalline material property prediction 2022 ·npj Computational Materials ·Rishikesh Magar, Yuyang Wang, Amir Barati Farimani	50
12	AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. 2021 ·arXiv (Cornell University) ·Rishikesh Magar, Yuyang Wang, (unknown), (unknown), (unknown), Peiyuan Li, Amir Barati Farimani	1
13	W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data 2021 ·Medical Image Analysis ·(unknown), Jiayuan Li, Rohan Joshi, Rishikesh Magar, (unknown), (unknown), (unknown), John Galeotti	20
14	Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering 2021 ·Computers in Biology and Medicine ·(unknown), Rishikesh Magar, (unknown), Amir Barati Farimani	34
15	Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting 2021 ·Sensors ·(unknown), (unknown), (unknown), Rishikesh Magar, Amir Barati Farimani, B. Reeja‐Jayan	3
16	Orbital graph convolutional neural network for material property prediction 2020 ·Physical Review Materials ·Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami, Ian D. Gates, Amir Barati Farimani	112
17	Heteroatom-Doped Transition Metal Nitrides for CO Electrochemical Reduction: A Density Functional Theory Screening Study 2020 ·The Journal of Physical Chemistry C ·Mohammadreza Karamad, Amir Barati Farimani, Rishikesh Magar, Samira Siahrostami, Ian D. Gates	11

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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