Neha Chaudhary

572 citations
55 papers · 277 indexed · h-index 10
Topics
Software Engineering Research (10 papers)Software Reliability and Analysis Research (10 papers)Software Testing and Debugging Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaBMC GenomicsPediatric Research

In The Last Decade

Neha Chaudhary

44 papers receiving 266 citations

Peers

Neha Chaudhary
Comparison fields: 5 of 108
  • Information Systems 57
  • Software 52
  • Molecular Biology 41
  • Clinical Psychology 30
  • Public Health, Environmental and Occupational Health 29
Replace Ravishankar Ravishankar with:
Ravishankar Ravishankar India
Yesol Kim South Korea
J. Wesley Baker United States
Martin Bürger Germany
Nur Atik Indonesia
Goabaone Gaobotse Botswana
Asita Elengoe Malaysia
Himani Rathi India
C Michael White United States
Akshita Singh India
Neha Chaudhary relative to Ravishankar Ravishankar India Ravishankar Ravishankar's profile →
Citations per field
00.5×7.3×
Ravishankar Ravishankar · 1×
Citations per year

Countries citing papers authored by Neha Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Neha Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Chaudhary

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 11
5 2
6 1
7 2
8 0
9 29
10 1
11 4
12 9
13 7
14 11
15 4
16 2
17 12
18 12
19 6
20
Multi criteria based fuzzy model for website evaluation
3

About Neha Chaudhary

Neha Chaudhary is a scholar working on Software, General Dentistry and Information Systems, having authored 55 papers that have together received 277 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Software Reliability and Analysis Research (10 papers) and Software Testing and Debugging Techniques (7 papers). The work is most often cited by research in Software (52 citations), Information Systems (57 citations) and Nutrition and Dietetics (24 citations). Neha Chaudhary has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Om Prakash Sangwan, Christoph Reinhardt, Joshua D. Campbell, Markus Bosmann, Padma Singh, Vivek Kumar, Narendra Kumar, Chandramani Singh, Sanjay Pandey and Yogesh Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Genomics and Pediatric Research.

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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