Harsh Desai

18 papers receiving 266 citations

Peers

Harsh Desai
Comparison fields: 5 of 42
  • Hardware and Architecture 31
  • Information Systems 98
  • Computer Networks and Communications 94
  • Artificial Intelligence 78
  • Electrical and Electronic Engineering 105
Replace Roderval Marcelino with:
Roderval Marcelino Brazil
Somayeh Kianpisheh Canada
João Paulo Portugal
Chengjie Gu China
Randal Abler United States
Kwame-Lante Wright United States
Arun Ravindran United States
Siyuan Ma China
Dayanand Ambawade India
Leonid Bolotnyy United States
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Citations per field
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Roderval Marcelino · 1×
Citations per year

Countries citing papers authored by Harsh Desai

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Harsh Desai, 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 Desai Line = papers co-authored together Harsh Desai links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201944
2 202140
3 201937
4 202230
5 202122
6 201819
7 202217
8 202016
9 201610
10 20238
11 20187
12
NLP Based Text Summarization Using Semantic Analysis
20165
13 20195
14 20223
15 20213
16 20223
17 20242
18
DA Master at HASOC 2019: Identification of Hate Speech using Machine Learning and Deep Learning approaches for social media post.
20191
19 20250

About Harsh Desai

Harsh Desai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 19 papers that have together received 272 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (5 papers), Blockchain Technology Applications and Security (4 papers), Cryptography and Data Security (3 papers), Innovative Energy Harvesting Technologies (3 papers), Parallel Computing and Optimization Techniques (3 papers), Embedded Systems Design Techniques (2 papers), IoT Networks and Protocols (2 papers) and Water Systems and Optimization (2 papers). The work is most often cited by research in Hardware and Architecture (31 citations), Information Systems (98 citations), Computer Networks and Communications (94 citations), Artificial Intelligence (78 citations) and Electrical and Electronic Engineering (105 citations). Harsh Desai has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Brandon Lucia, Murat Kantarcıoğlu, Matteo Nardello, Davide Brunelli, Lalana Kagal, Emily Ruppel, Kevin Liu, Alexei Colin, Zachary Manchester and Jacob Sorber. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, IEEE Micro, International Journal on Document Analysis and Recognition (IJDAR), Frontiers in Neural Circuits and IEEE Computer Architecture Letters.

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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