Nachiket Tapas

14 papers receiving 656 citations

Hit Papers

Blockchain and IoT Integration: A Systematic Survey20182026202020232018100200300400

Peers

Nachiket Tapas
Comparison fields: 5 of 71
  • Information Systems 587
  • Computer Networks and Communications 424
  • Artificial Intelligence 115
  • Electrical and Electronic Engineering 53
  • Management Information Systems 52
Replace Alfonso Panarello with:
Alfonso Panarello Italy
Cheng Fu Singapore
Sanjeev Kumar Dwivedi India
Satyanarayana Vollala India
Shanto Roy Bangladesh
Doan B. Hoang Australia
Thomas Bocek Switzerland
Ghalem Belalem Algeria
Panagiotis Gouvas Greece
Matthew O. Adigun South Africa
Nachiket Tapas relative to Alfonso Panarello Italy Alfonso Panarello's profile →
Citations per field
00.5×1.7×
Alfonso Panarello · 1×
Citations per year

Countries citing papers authored by Nachiket Tapas

Since Specialization
Citations

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

Fields of papers citing papers by Nachiket Tapas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nachiket Tapas

This figure shows the co-authorship network connecting the top 25 collaborators of Nachiket Tapas. A scholar is included among the top collaborators of Nachiket Tapas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nachiket Tapas. Nachiket Tapas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 1
5 5
6 0
7 29
8 4
9 8
10 1
11 60
12
Blockchain and IoT Integration: A Systematic Surveybreakdown →
467
13 51
14 6
15 43
16 1
17 8

About Nachiket Tapas

Nachiket Tapas is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing, having authored 17 papers that have together received 691 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (6 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Information Systems (587 citations), Computer Networks and Communications (424 citations) and Management Information Systems (52 citations). Nachiket Tapas has collaborated with scholars based in Italy, India and Israel. Frequent co-authors include Francesco Longo, Giovanni Merlino, Antonio Puliafito, Alfonso Panarello, Kim‐Kwang Raymond Choo, Ruhul Amin, SK Hafizul Islam, Prosanta Gope, Maurizio Giacobbe and Salvatore Distefano. Their work appears in journals such as Sensors, Future Generation Computer Systems and IEEE Journal of Biomedical and Health Informatics.

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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