Harsh Purohit

874 citations
7 papers · 388 indexed · h-index 5
Topics
Music and Audio Processing (4 papers)Anomaly Detection Techniques and Applications (4 papers)Water Systems and Optimization (3 papers)
Journals
World Journal of Microbiology and Biotechnology2022 30th European Signal Processing Conference (EUSIPCO)Faculty Digital Archive (New York University Florence)
Partner nations
JapanIndia

In The Last Decade

Harsh Purohit

7 papers receiving 384 citations

Peers

Harsh Purohit
Comparison fields: 5 of 50
  • Artificial Intelligence 252
  • Signal Processing 223
  • Civil and Structural Engineering 82
  • Control and Systems Engineering 81
  • Computer Vision and Pattern Recognition 61
Replace Ryo Tanabe with:
Ryo Tanabe Japan
Yuki Nikaido Japan
Shoichiro Saito Japan
Karanpreet Singh United States
Benkuan Wang China
Pengwei Wen China
Kazuki Kozuka Japan
Lizhe Tan United States
Dejun Mu China
Harsh Purohit relative to Ryo Tanabe Japan Ryo Tanabe's profile →
Citations per field
00.5×1.5×
Ryo Tanabe · 1×
Citations per year

Countries citing papers authored by Harsh Purohit

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Purohit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsh Purohit

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

All Works

About Harsh Purohit

Harsh Purohit is a scholar working on Signal Processing, Civil and Structural Engineering and Artificial Intelligence, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Music and Audio Processing (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Water Systems and Optimization (3 papers). The work is most often cited by research in Signal Processing (223 citations), Artificial Intelligence (252 citations) and Civil and Structural Engineering (82 citations). Harsh Purohit has collaborated with scholars based in Japan and India. Frequent co-authors include Yohei Kawaguchi, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Toshiki Nakamura, Takashi Endo and Masaaki Yamamoto. Their work appears in journals such as World Journal of Microbiology and Biotechnology, 2022 30th European Signal Processing Conference (EUSIPCO) and Faculty Digital Archive (New York University Florence).

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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