Manisha Sirsat

965 total citations
12 papers, 627 citations indexed

About

Manisha Sirsat is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manisha Sirsat has authored 12 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manisha Sirsat's work include Smart Agriculture and AI (3 papers), Machine Learning and Data Classification (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Manisha Sirsat is often cited by papers focused on Smart Agriculture and AI (3 papers), Machine Learning and Data Classification (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Manisha Sirsat collaborates with scholars based in Spain, Portugal and United Kingdom. Manisha Sirsat's co-authors include Eva Cernadas, Manuel Fernández-Delgado, Eduardo Fermé, Joana Câmara, Senén Barro, Sadi Alawadi, Manuel Febrero–Bande, Rehanullah Khan, Mário Cunha and João Mendes‐Moreira and has published in prestigious journals such as Meat Science, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Manisha Sirsat

11 papers receiving 595 citations

Peers

Manisha Sirsat
Comparison fields: 5 of 139
  • Artificial Intelligence 127
  • Plant Science 127
  • Epidemiology 98
  • Neurology 68
  • Environmental Engineering 63
Umair Khan Pakistan
Ahmed M. Elshewey Egypt
Vatsala Anand India
Mosleh Hmoud Al-Adhaileh Saudi Arabia
Mehrez Marzougui Saudi Arabia
Shagun Sharma India
Sutong Wang China
Ekaba Bisong United States
Adekanmi Adeyinka Adegun South Africa
Andrés Bueno-Crespo Spain
Umair Khan Pakistan View profile →
Citations per field, relative to Manisha Sirsat
Manisha Sirsat · 1×
Citations per year, relative to Manisha Sirsat
Manisha Sirsat · 1×

Countries citing papers authored by Manisha Sirsat

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Sirsat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Sirsat

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 1
3 0
4 14
5 5
6 172
7 8
8 28
9 243
10 64
11 69
12
A Validation of The Delone And Mclean Model On The Educational Information System Of The Maharashtra State (India)
19

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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