Manasi Patwardhan

102 total papers · 695 total citations
45 papers, 438 citations indexed

About

Manasi Patwardhan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Manasi Patwardhan has authored 45 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Manasi Patwardhan's work include Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (8 papers) and Multimodal Machine Learning Applications (6 papers). Manasi Patwardhan is often cited by papers focused on Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (8 papers) and Multimodal Machine Learning Applications (6 papers). Manasi Patwardhan collaborates with scholars based in India, United States and United Kingdom. Manasi Patwardhan's co-authors include Anjali Mahajan, Shirish Karande, Edgar Hernández‐Andrade, Suchaya Luewan, M. Cruz‐Lemini, Beena Rai, Bernard Gonik, Sonia S. Hassan, Roberto Romero and Percy Pacora and has published in prestigious journals such as Scientific Reports, ACM Computing Surveys and Obstetrics and Gynecology.

In The Last Decade

Manasi Patwardhan

41 papers receiving 418 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Manasi Patwardhan	109	76	62	50	50	45	438
Kevin Chai	107 1.0×	26 0.3×	35 0.6×	33 0.7×	24 0.5×	42	478
Mário W. L. Moreira	92 0.8×	22 0.3×	32 0.5×	69 1.4×	18 0.4×	29	422
Purnima Gupta	34 0.3×	26 0.3×	17 0.3×	29 0.6×	35 0.7×	39	425
Ismael Sanz	84 0.8×	40 0.5×	48 0.8×	11 0.2×	10 0.2×	44	434
Darren Dancey	178 1.6×	100 1.3×	78 1.3×	9 0.2×	7 0.1×	18	485
Zhenming Yuan	140 1.3×	13 0.2×	52 0.8×	21 0.4×	14 0.3×	49	371
Milad Asgari Mehrabadi	84 0.8×	7 0.1×	20 0.3×	18 0.4×	65 1.3×	21	479
Muhammad Amith	193 1.8×	51 0.7×	14 0.2×	15 0.3×	11 0.2×	48	452
Toktam Khatibi	121 1.1×	65 0.9×	60 1.0×	28 0.6×	3 0.1×	41	463
I. Féki	142 1.3×	35 0.5×	9 0.1×	7 0.1×	11 0.2×	64	416

Countries citing papers authored by Manasi Patwardhan

Since Specialization

Citations

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

Fields of papers citing papers by Manasi Patwardhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manasi Patwardhan

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

All Works

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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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