Nachiket Tapas

1.1k total citations · 1 hit paper
17 papers, 691 citations indexed

About

Nachiket Tapas is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Nachiket Tapas has authored 17 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Nachiket Tapas's work include Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (6 papers) and Cryptography and Data Security (3 papers). Nachiket Tapas is often cited by papers focused on Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (6 papers) and Cryptography and Data Security (3 papers). Nachiket Tapas collaborates with scholars based in Italy, India and Israel. Nachiket Tapas's 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 and has published in prestigious journals such as Sensors, Future Generation Computer Systems and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Nachiket Tapas

14 papers receiving 656 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blockchain and IoT Integration: A Systematic Survey

2018 467 citations Alfonso Panarello, Nachiket Tapas et al. Sensors profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nachiket Tapas Italy	8	587	424	115	53	52	17	691
Alfonso Panarello Italy	7	487 0.8×	370 0.9×	68 0.6×	50 0.9×	49 0.9×	10	590
Nabil El Ioini Italy	15	484 0.8×	423 1.0×	150 1.3×	100 1.9×	56 1.1×	67	784
Muhammad Nasir Mumtaz Bhutta Saudi Arabia	10	313 0.5×	221 0.5×	101 0.9×	91 1.7×	46 0.9×	21	577
Satyanarayana Vollala India	13	490 0.8×	296 0.7×	156 1.4×	127 2.4×	48 0.9×	43	629
Fereidoon Shams Aliee Iran	13	298 0.5×	381 0.9×	141 1.2×	59 1.1×	78 1.5×	36	625
Ghalem Belalem Algeria	14	290 0.5×	335 0.8×	169 1.5×	46 0.9×	25 0.5×	116	698
Karim Djemame United Kingdom	17	590 1.0×	597 1.4×	97 0.8×	115 2.2×	45 0.9×	115	881
Yuhong Yan Canada	16	440 0.7×	393 0.9×	292 2.5×	75 1.4×	122 2.3×	59	773
Jay Kishigami Japan	9	362 0.6×	181 0.4×	74 0.6×	63 1.2×	75 1.4×	21	493
Cheng Fu Singapore	4	380 0.6×	294 0.7×	95 0.8×	25 0.5×	47 0.9×	9	541

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

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17 of 17 papers shown

Tapas, Nachiket, et al.. (2024). Machine Learning Vulnerabilities at the Edge: A Study of Multi-stage Gray-box Attacks^*. 1–7.

Tapas, Nachiket, et al.. (2023). Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models. 1–6.

Ferretti, Luca, Francesco Longo, Giovanni Merlino, et al.. (2021). Verifiable and auditable authorizations for smart industries and industrial Internet-of-Things. Journal of Information Security and Applications. 59. 102848–102848. 7 indexed citations

Tapas, Nachiket, et al.. (2021). Blockchain-based bug bounty framework. Zenodo (CERN European Organization for Nuclear Research). 239–248. 1 indexed citations

Tapas, Nachiket, et al.. (2020). P4UIoT: Pay-Per-Piece Patch Update Delivery for IoT Using Gradual Release. Sensors. 20(7). 2156–2156. 5 indexed citations

Edla, Damodar Reddy, et al.. (2020). Analysis of high dimensional brain data using prototype based fuzzy clustering. Clinical Epidemiology and Global Health. 8(4). 1110–1118.

Tapas, Nachiket, Francesco Longo, Giovanni Merlino, & Antonio Puliafito. (2020). Experimenting with smart contracts for access control and delegation in IoT. Future Generation Computer Systems. 111. 324–338. 29 indexed citations

Ferretti, Luca, Francesco Longo, Michele Colajanni, Giovanni Merlino, & Nachiket Tapas. (2019). Authorization Transparency for Accountable Access to IoT Services. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 91–99. 4 indexed citations

Tapas, Nachiket, Giovanni Merlino, Francesco Longo, & Antonio Puliafito. (2019). Blockchain-Based Publicly Verifiable Cloud Storage. 381–386. 8 indexed citations

10.

Tapas, Nachiket, Francesco Longo, Giovanni Merlino, & Antonio Puliafito. (2019). Transparent, Provenance-assured, and Secure Software-as-a-Service. 1–8. 1 indexed citations

11.

Bruneo, Dario, Salvatore Distefano, Maurizio Giacobbe, et al.. (2018). An IoT service ecosystem for Smart Cities: The #SmartME project. Internet of Things. 5. 12–33. 60 indexed citations

12.

Panarello, Alfonso, Nachiket Tapas, Giovanni Merlino, Francesco Longo, & Antonio Puliafito. (2018). Blockchain and IoT Integration: A Systematic Survey. Sensors. 18(8). 2575–2575. 467 indexed citations breakdown →

13.

Amin, Ruhul, SK Hafizul Islam, Prosanta Gope, Kim‐Kwang Raymond Choo, & Nachiket Tapas. (2018). Anonymity Preserving and Lightweight Multimedical Server Authentication Protocol for Telecare Medical Information System. IEEE Journal of Biomedical and Health Informatics. 23(4). 1749–1759. 51 indexed citations

14.

Bruneo, Dario, Antonio Puliafito, Carlo Puliafito, et al.. (2018). Building a Smart City Service Platform in Messina with the #SmartME Project. CINECA IRIS Institutial research information system (University of Pisa). 6 indexed citations

15.

Tapas, Nachiket, Giovanni Merlino, & Francesco Longo. (2018). Blockchain-Based IoT-Cloud Authorization and Delegation. 43 indexed citations

16.

Tapas, Nachiket & O. P. Vyas. (2017). IoT deployment for smarter cities with special reference to mobility. 1–4. 1 indexed citations

17.

Tapas, Nachiket, et al.. (2017). Prediction of cardiac arrest recurrence using ensemble classifiers. Sadhana. 42(7). 1135–1141. 8 indexed citations

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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