Deepak Prashar

2.0k citations
100 papers · 1.3k · h-index 19

Impact in

Papers in

Deepak Prashar

88 papers receiving 1.2k citations

Peers

Deepak Prashar
Comparison fields: 5 of 137
  • Health Informatics 34
  • Health Information Management 67
  • Information Systems 319
  • Computer Networks and Communications 309
  • Artificial Intelligence 241
Replace Deepali Gupta with:
Deepali Gupta India
Munish Bhatia India
Maruf Pasha Pakistan
Amit Sharma India
Sabyasachi Pramanik India
Faisal Jamil South Korea
Yousef Farhaoui Morocco
Ahmad Ali AlZubi Saudi Arabia
R. Manikandan India
Waleed S. Alnumay Saudi Arabia
Deepak Prashar relative to Deepali Gupta India Deepali Gupta's profile →
Citations per field
00.5×2.9×
Deepali Gupta · 1×
Citations per year

Countries citing papers authored by Deepak Prashar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Prashar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 2020154
3 202079
4 202162
5 202144
6 202142
7 202134
8 202233
9 202332
10 202129
11 202127
12 202026
13 202125
14 202125
15 202023
16 202123
17
Behavior Prediction Through Handwriting Analysis
201223
18 202121
19 202021
20 201917

About Deepak Prashar

Deepak Prashar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Ocean Engineering, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (15 papers), Blockchain Technology Applications and Security (14 papers), Indoor and Outdoor Localization Technologies (12 papers), IoT and Edge/Fog Computing (10 papers), Underwater Vehicles and Communication Systems (9 papers), Smart Agriculture and AI (6 papers), Network Security and Intrusion Detection (6 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Health Informatics (34 citations), Health Information Management (67 citations), Information Systems (319 citations), Computer Networks and Communications (309 citations) and Artificial Intelligence (241 citations). Deepak Prashar has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Sudan Jha, Nishant Jha, Gyanendra Prasad Joshi, Mamoon Rashid, Yong-Ju Lee, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi, Jimmy Singla, Kiran Jyoti and Hoang Viet Long. Their work appears in journals such as Sustainability, Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Electronics and Sensors.

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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