Harsh Sohal

566 citations
37 papers · 409 · h-index 12

Impact in

Papers in

Harsh Sohal

33 papers receiving 396 citations

Peers

Harsh Sohal
Comparison fields: 5 of 48
  • Hardware and Architecture 45
  • Electrical and Electronic Engineering 319
  • Biomedical Engineering 203
  • Cardiology and Cardiovascular Medicine 42
  • Signal Processing 22
Replace Roberto Guerrieri with:
Roberto Guerrieri Italy
Sunjoo Hong South Korea
Kyoung-Rog Lee South Korea
Thomas Klotz Germany
Hyeon‐Min Bae South Korea
Jaeeun Jang South Korea
Ming Ding Netherlands
Toomas Parve Estonia
Julia Pettine Netherlands
Raul Land Estonia
Harsh Sohal relative to Roberto Guerrieri Italy Roberto Guerrieri's profile →
Citations per field
00.5×3.7×
Roberto Guerrieri · 1×
Citations per year

Countries citing papers authored by Harsh Sohal

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Sohal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Harsh Sohal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Harsh Sohal Line = papers co-authored together Harsh Sohal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201232
3 201627
4 202123
5 201419
6 201818
7 201418
8 202017
9 202113
10 201812
11 202012
12 202012
13 201811
14 201610
15 20189
16 20189
17 20148
18 20227
19 20236
20 20246

About Harsh Sohal

Harsh Sohal is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Hardware and Architecture, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 37 papers that have together received 409 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (18 papers), Analog and Mixed-Signal Circuit Design (12 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), ECG Monitoring and Analysis (7 papers), EEG and Brain-Computer Interfaces (6 papers), Electrical and Bioimpedance Tomography (5 papers), VLSI and FPGA Design Techniques (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (45 citations), Electrical and Electronic Engineering (319 citations), Biomedical Engineering (203 citations), Cardiology and Cardiovascular Medicine (42 citations) and Signal Processing (22 citations). Harsh Sohal has collaborated with scholars based in India, South Korea and Australia. Frequent co-authors include Shruti Jain, Eung Je Woo, Tong In Oh, Hun Wi, Alistair McEwan, Anjali Sharma, Youssoufa Mohamadou, Naresh Kumar, Kulbhushan Sharma and Vipul Sharma. Their work appears in journals such as BioMedical Engineering OnLine, Journal of Nanoelectronics and Optoelectronics, Analog Integrated Circuits and Signal Processing, Indian Journal of Science and Technology and Measurement Science and Technology.

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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