N. Deepa

68 papers receiving 2.3k citations

N. Deepa's Hit Papers

A survey on blockchain for big data: Approaches, opportunities, and future directions 2022 · 292 citations
2920+1+3Years since publication2505007501000

Peers

N. Deepa
Comparison fields: 5 of 157
  • Industrial and Manufacturing Engineering 650
  • Information Systems 558
  • Management Information Systems 193
  • Computer Networks and Communications 452
  • Medical Laboratory Technology 21
Replace B. Prabadevi with:
B. Prabadevi India
Rukhsana Ruby China
Nader Mohamed United States
Wattana Viriyasitavat Thailand
Amit K. Shukla India
Kapal Dev Ireland
Pranab K. Muhuri India
M. Mazhar Rathore South Korea
Agnar Aamodt Norway
Kary Främling Finland
N. Deepa relative to B. Prabadevi India B. Prabadevi's profile →
Citations per field
00.5×3.3×
B. Prabadevi · 1×
Citations per year

Countries citing papers authored by N. Deepa

Since Specialization
Citations

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

Fields of papers citing papers by N. Deepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Deepa, 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 N. Deepa Line = papers co-authored together N. Deepa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Industry 5.0: A survey on enabling technologies and potential applications
Hit paper breakdown →
20211071
2
A survey on blockchain for big data: Approaches, opportunities, and future directions
Hit paper breakdown →
2022292
3 2021142
4 2019141
5 202099
6 202180
7 202075
8 202440
9 202239
10 201936
11 201736
12 202031
13 201625
14 201922
15 202021
16 201920
17 202320
18 201818
19 201418
20 202416

About N. Deepa

N. Deepa is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Multi-Criteria Decision Making (6 papers), Blockchain Technology Applications and Security (6 papers), AI in cancer detection (5 papers), Advanced Malware Detection Techniques (5 papers), Analytical Chemistry and Sensors (5 papers), Network Security and Intrusion Detection (5 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (650 citations), Information Systems (558 citations), Management Information Systems (193 citations), Computer Networks and Communications (452 citations) and Medical Laboratory Technology (21 citations). N. Deepa has collaborated with scholars based in India, Taiwan and Saudi Arabia. Frequent co-authors include Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, B. Prabadevi, Quoc‐Viet Pham, Kapal Dev, Madhusanka Liyanage, Rukhsana Ruby, Pubudu N. Pathirana, Dinh C. Nguyen and Kathiravan Srinivasan. Their work appears in journals such as Neural Computing and Applications, Sustainability, Instrumentation Science & Technology, Sensors and Actuators B Chemical and Solar Energy.

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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