Neha Bharill

1.6k citations
24 papers · 1.0k indexed · 1 hit paper · h-index 9
Topics
Advanced Clustering Algorithms Research (12 papers)Face and Expression Recognition (11 papers)Machine Learning in Bioinformatics (7 papers)
Partner nations
IndiaAustraliaChina

In The Last Decade

Neha Bharill

21 papers receiving 1.0k citations

Hit Papers

A review of clustering techniques and developments20172026202020232017250500750

Peers

Neha Bharill
Comparison fields: 5 of 151
  • Artificial Intelligence 447
  • Computer Vision and Pattern Recognition 240
  • Information Systems 109
  • Signal Processing 100
  • Electrical and Electronic Engineering 89
Replace Akshansh Gupta with:
Akshansh Gupta India
Abiodun M. Ikotun South Africa
Kristina P. Sinaga Taiwan
Han Liu China
Xuedong Gao China
Chaoqun Ma China
Aruna Tiwari India
Jiejun Xu United States
Jianfei Chen China
Ling Tian China
Neha Bharill relative to Akshansh Gupta India Akshansh Gupta's profile →
Citations per field
00.5×1.5×
Akshansh Gupta · 1×
Citations per year

Countries citing papers authored by Neha Bharill

Since Specialization
Citations

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

Fields of papers citing papers by Neha Bharill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Bharill

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Bharill. A scholar is included among the top collaborators of Neha Bharill 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 Bharill. Neha Bharill 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 3
3 6
4 0
5 1
6 1
7 4
8 10
9 0
10 0
11 21
12 14
13 6
14 16
15 48
16 7
17 5
18 1
19 12
20 15

About Neha Bharill

Neha Bharill is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Urban Studies, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (11 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Artificial Intelligence (447 citations), Computational Mathematics (8 citations) and Computer Vision and Pattern Recognition (240 citations). Neha Bharill has collaborated with scholars based in India, Australia and China. Frequent co-authors include Aruna Tiwari, Om Prakash Patel, Mukesh Prasad, Weiping Ding, Amit Saxena, Meng Joo Er, Akshansh Gupta, Chin‐Teng Lin, Milind B. Ratnaparkhe and Manoranjan Mohanty. Their work appears in journals such as IEEE Access, Neurocomputing and Engineering Applications of Artificial Intelligence.

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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