Manish Bhattarai

482 total citations
31 papers, 260 citations indexed

About

Manish Bhattarai is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Networks and Communications. According to data from OpenAlex, Manish Bhattarai has authored 31 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Computational Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Manish Bhattarai's work include Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Tensor decomposition and applications (5 papers). Manish Bhattarai is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Tensor decomposition and applications (5 papers). Manish Bhattarai collaborates with scholars based in United States, Bulgaria and China. Manish Bhattarai's co-authors include Vince D. Calhoun, Alex Fedorov, Anees Abrol, Yuhui Du, Sergey Plis, Boian S. Alexandrov, Godfrey D. Pearlson, Shashwath A. Meda, Robert S. Astur and Daniel H. Mathalon and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Manish Bhattarai

24 papers receiving 254 citations

Peers

Countries citing papers authored by Manish Bhattarai

Since Specialization

Citations

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

Fields of papers citing papers by Manish Bhattarai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Bhattarai

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

#	Work	Indexed citations
1	Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation 2025 ·Manish Bhattarai, (unknown), Javier E. Santos, (unknown), Daniel O’Malley	0
2	TT-LoRA MoE: Using Parameter-Efficient Fine-Tuning and Sparse Mixture-Of-Experts 2025 ·ArXiv.org ·(unknown), (unknown), Maanak Gupta, Mahmoud Abdelsalam, Manish Bhattarai	0
3	PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty 2025 ·(unknown), Minh Vu, Manish Bhattarai, (unknown), Hari Viswanathan, Daniel O’Malley, Javier E. Santos	0
4	Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation 2024 ·Manish Bhattarai, Javier E. Santos, (unknown), (unknown), (unknown), Daniel O’Malley	3
5	TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs 2024 ·(unknown), (unknown), (unknown), (unknown), Manish Bhattarai, K. Ø. Rasmussen, Boian S. Alexandrov	2
6	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization 2024 ·(unknown), (unknown), (unknown), (unknown), Manish Bhattarai, (unknown), (unknown), Charles Nicholas, K. Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov	8
7	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs 2024 ·(unknown), (unknown), (unknown), Boian S. Alexandrov, Manish Bhattarai	2
8	DNA breathing integration with deep learning foundational model advances genome-wide binding prediction of human transcription factors 2024 ·Nucleic Acids Research ·(unknown), Manish Bhattarai, (unknown), (unknown), K. Ø. Rasmussen, Amarda Shehu, A. R. Bishop, Boian S. Alexandrov, Anny Usheva	4
9	Catch'em all: Classification of Rare, Prominent, and Novel Malware Families 2024 ·(unknown), (unknown), Manish Bhattarai, (unknown), (unknown), Kim J.R. Rasmussen, (unknown), Charles Nicholas	0
10	Examining DNA breathing with pyDNA-EPBD 2023 ·Bioinformatics ·(unknown), Manish Bhattarai, K. Ø. Rasmussen, Amarda Shehu, Anny Usheva, A. R. Bishop, Boian S. Alexandrov	3
11	Distributed out-of-memory NMF on CPU/GPU architectures 2023 ·The Journal of Supercomputing ·(unknown), Manish Bhattarai, (unknown), (unknown), Philip A. Romero, Stephan Eidenbenz, Boian S. Alexandrov	2
12	Distributed non-negative RESCAL with automatic model selection for exascale data 2023 ·Journal of Parallel and Distributed Computing ·Manish Bhattarai, (unknown), (unknown), (unknown), Benjamin Nebgen, Hristo Djidjev, Sanjay Rajopadhye, James P. Smith, Boian S. Alexandrov	4
13	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware 2023 ·(unknown), Manish Bhattarai, Kim J.R. Rasmussen, Boian S. Alexandrov, Charles Nicholas	3
14	One-Shot Federated Group Collaborative Filtering 2022 ·(unknown), Manish Bhattarai, (unknown), (unknown), Roberto Yus, Charles Nicholas, Boian S. Alexandrov	2
15	Distributed Out-of-Memory SVD on CPU/GPU Architectures 2022 ·(unknown), Manish Bhattarai, (unknown), (unknown), Hristo Djidjev, Boian S. Alexandrov	1
16	Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease 2020 ·Journal of Neuroscience Methods ·Anees Abrol, Manish Bhattarai, Alex Fedorov, Yuhui Du, Sergey Plis, Vince D. Calhoun	114
17	Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling 2020 ·Raviteja Vangara, (unknown), Gopinath Chennupati, Hristo Djidjev, T. E. Tierney, James P. Smith, Manish Bhattarai, Valentin Stanev, Boian S. Alexandrov	12
18	Detection and Identification of Objects and Humans in Thermal Images. 2019 ·Manish Bhattarai, Manel Martínez‐Ramón	1
19	CMOS approach to compressed-domain image acquisition 2017 ·Optics Express ·(unknown), Manish Bhattarai, (unknown), Payman Zarkesh-Ha, Sanjay Krishna, Majeed M. Hayat	2
20	An fMRI study of working memory in first-degree unaffected relatives of schizophrenia patients 2008 ·Schizophrenia Research ·Shashwath A. Meda, Manish Bhattarai, Nicholas A. Morris, Robert S. Astur, Vince D. Calhoun, Daniel H. Mathalon, Kent A. Kiehl, Godfrey D. Pearlson	49

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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