Neha Sharma

78 total papers · 418 total citations
38 papers, 272 citations indexed

About

Neha Sharma is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Neha Sharma has authored 38 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Neha Sharma's work include Data Mining Algorithms and Applications (8 papers), Big Data and Business Intelligence (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Neha Sharma is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Big Data and Business Intelligence (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Neha Sharma collaborates with scholars based in India, Romania and Israel. Neha Sharma's co-authors include Amlan Chakrabarti, Valentina Emilia Bălaş, Manoj Kumar Singh, Navneet Singh, Alfred M. Bruckstein⋆, Digamber Behera, Siddharth Sharma, Avishek Choudhury, Jan Martinovič and K.C. Nagpal and has published in prestigious journals such as Multimedia Tools and Applications, The Scientific World JOURNAL and Developmental Neuroscience.

In The Last Decade

Neha Sharma

33 papers receiving 258 citations

Author Peers

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

Author Last Decade Papers Cites
Neha Sharma 111 57 44 33 29 38 272
S. Revathy 123 1.1× 59 1.0× 10 0.2× 29 0.9× 38 1.3× 47 292
C. Gunavathi 107 1.0× 38 0.7× 92 2.1× 40 1.2× 16 0.6× 29 278
Santos Kumar Baliarsingh 177 1.6× 11 0.2× 89 2.0× 17 0.5× 29 1.0× 27 297
Saad Razzaq 77 0.7× 54 0.9× 5 0.1× 29 0.9× 15 0.5× 27 234
Yasin Görmez 99 0.9× 21 0.4× 34 0.8× 12 0.4× 32 1.1× 41 233
Raúl Alonso-Calvo 114 1.0× 52 0.9× 149 3.4× 22 0.7× 32 1.1× 35 309
Anurag Gupta 97 0.9× 39 0.7× 22 0.5× 33 1.0× 4 0.1× 29 273
Karthik Sekaran 63 0.6× 122 2.1× 37 0.8× 13 0.4× 8 0.3× 32 303
Faris Kateb 97 0.9× 31 0.5× 31 0.7× 32 1.0× 26 0.9× 35 292
Oğuz Ata 60 0.5× 34 0.6× 36 0.8× 32 1.0× 34 1.2× 36 256

Countries citing papers authored by Neha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Neha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Sharma

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