Binod Kumar Pattanayak

462 citations
39 papers · 236 indexed · h-index 9

Binod Kumar Pattanayak

33 papers receiving 223 citations

Peers

Binod Kumar Pattanayak
Comparison fields: 5 of 74
  • Health Information Management 44
  • Medical Laboratory Technology 5
  • Neurology 26
  • Artificial Intelligence 73
  • Computer Networks and Communications 49
Replace Stephen Jeswinde Nuagah with:
Stephen Jeswinde Nuagah Ghana
Saroja Kumar Rout India
Teg Alam Saudi Arabia
Yadala Sucharitha India
Khalil Maalmi Morocco
Snehlata Dongre India
E. Kannan India
Ali Samad Pakistan
Hamdan Abdellatef Malaysia
S. P. Shantharajah India
Binod Kumar Pattanayak relative to Stephen Jeswinde Nuagah Ghana Stephen Jeswinde Nuagah's profile →
Citations per field
00.5×3.3×
Stephen Jeswinde Nuagah · 1×
Citations per year

Countries citing papers authored by Binod Kumar Pattanayak

Since Specialization
Citations

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

Fields of papers citing papers by Binod Kumar Pattanayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Binod Kumar Pattanayak. 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 Binod Kumar Pattanayak. The network helps show where Binod Kumar Pattanayak may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20245
4 20240
5 20244
6 20240
7 20241
8 20231
9 20232
10 202317
11 202314
12 202313
13 202328
14 20235
15 20238
16 20221
17 202212
18 20222
19 20221
20 20225

About Binod Kumar Pattanayak

Binod Kumar Pattanayak is a scholar working on Health Information Management, Software and Computer Networks and Communications, having authored 39 papers that have together received 236 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Artificial Intelligence in Healthcare (7 papers), Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers), Neural Networks and Applications (4 papers), Machine Learning and ELM (3 papers), Retinal Imaging and Analysis (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Health Information Management (44 citations), Medical Laboratory Technology (5 citations) and Neurology (26 citations). Binod Kumar Pattanayak has collaborated with scholars based in India, Jordan and Singapore. Frequent co-authors include Manoranjan Parhi, Abhilash Pati, Ajit Kumar Mahapatra, Nibedan Panda, Mohammad Alnabhan, Bibhuprasad Sahu, Manas Ranjan Patra, Mihir Narayan Mohanty, Amit Banerjee and Debabrata Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Wireless Communications and Mobile Computing and Arabian Journal for Science and Engineering.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026