Prachi Jain

471 total citations
28 papers, 220 citations indexed

About

Prachi Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Prachi Jain has authored 28 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Prachi Jain's work include Topic Modeling (6 papers), Advanced Data Compression Techniques (6 papers) and Video Coding and Compression Technologies (5 papers). Prachi Jain is often cited by papers focused on Topic Modeling (6 papers), Advanced Data Compression Techniques (6 papers) and Video Coding and Compression Technologies (5 papers). Prachi Jain collaborates with scholars based in India, United States and Belgium. Prachi Jain's co-authors include Mausam Mausam, Soumen Chakrabarti, Sachin Kajarekar, Hynek Heřmanský, Daniel P. W. Ellis, Sanjay Sharma, Pankaj Kumar, Sunayana Sitaram, Kalika Bali and Ponnurangam Kumaraguru and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Visualized Experiments and IEEE Transactions on Electromagnetic Compatibility.

In The Last Decade

Prachi Jain

21 papers receiving 194 citations

Peers

Prachi Jain
Comparison fields: 5 of 57
  • Artificial Intelligence 156
  • Signal Processing 59
  • Computer Vision and Pattern Recognition 34
  • Management Science and Operations Research 25
  • Information Systems 17
Replace Pengzhou Zhang with:
Pengzhou Zhang China
Austin Waters United States
Hongzhao Huang United States
Donghong Han China
Meng Zhao China
Kazutaka Shimada Japan
Antti Puurula New Zealand
Stanislau Semeniuta Italy
J. Akilandeswari India
Ben Allison United Kingdom
Pengzhou Zhang China View profile →
Citations per field, relative to Prachi Jain
Prachi Jain · 1×
Citations per year, relative to Prachi Jain
Prachi Jain · 1×

Countries citing papers authored by Prachi Jain

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Jain. A scholar is included among the top collaborators of Prachi Jain 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 Prachi Jain. Prachi Jain 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
# Work Indexed citations
1 2
2 4
3 1
4 0
5 39
6 5
7 10
8 1
9 0
10 39
11 33
12
A Survey on Single Image Super-resolution
1
13 5
14 8
15 2
16
Distributed Speech Recognition
2
17 12
18 0
19 1
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026