Pranav Nerurkar

703 total citations
20 papers, 359 citations indexed

About

Pranav Nerurkar is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Pranav Nerurkar has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Pranav Nerurkar's work include Complex Network Analysis Techniques (7 papers), Blockchain Technology Applications and Security (7 papers) and Opinion Dynamics and Social Influence (5 papers). Pranav Nerurkar is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Blockchain Technology Applications and Security (7 papers) and Opinion Dynamics and Social Influence (5 papers). Pranav Nerurkar collaborates with scholars based in India, France and United Kingdom. Pranav Nerurkar's co-authors include Sunil Bhirud, Yann Busnel, Kumar Abhishek, Ajay Kumar, Saru Kumari, Dhiren Patel, Romaric Ludinard, Muhammad Rukunuddin Ghalib, Achyut Shankar and Mauro Conti and has published in prestigious journals such as Journal of Network and Computer Applications, Soft Computing and Applied Intelligence.

In The Last Decade

Pranav Nerurkar

19 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranav Nerurkar India 10 206 117 75 37 26 20 359
Miloš Savić Serbia 12 108 0.5× 125 1.1× 76 1.0× 16 0.4× 42 1.6× 55 427
Yuyu Yuan China 9 107 0.5× 113 1.0× 59 0.8× 60 1.6× 6 0.2× 48 371
Filip Železný Czechia 14 159 0.8× 272 2.3× 50 0.7× 48 1.3× 8 0.3× 48 584
Mudassir Khan Saudi Arabia 12 132 0.6× 97 0.8× 87 1.2× 47 1.3× 7 0.3× 41 385
Y. Ding China 6 133 0.6× 218 1.9× 77 1.0× 63 1.7× 14 0.5× 13 427
Adwitiya Sinha India 12 96 0.5× 113 1.0× 161 2.1× 29 0.8× 81 3.1× 60 476
Zhixuan Chu United States 6 75 0.4× 193 1.6× 23 0.3× 27 0.7× 12 0.5× 18 373
Ahmed Noori Rashid Iraq 7 95 0.5× 144 1.2× 122 1.6× 68 1.8× 8 0.3× 26 359
Lule Ahmedi Kosovo 9 71 0.3× 115 1.0× 67 0.9× 19 0.5× 16 0.6× 39 243
Adila Alfa Krisnadhi Indonesia 11 113 0.5× 284 2.4× 55 0.7× 17 0.5× 7 0.3× 65 390

Countries citing papers authored by Pranav Nerurkar

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Nerurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Nerurkar

This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Nerurkar. A scholar is included among the top collaborators of Pranav Nerurkar 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 Pranav Nerurkar. Pranav Nerurkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nerurkar, Pranav. (2023). Illegal activity detection on bitcoin transaction using deep learning. Soft Computing. 27(9). 5503–5520. 11 indexed citations
2.
Conti, Mauro, Gulshan Kumar, Pranav Nerurkar, Rahul Saha, & Luigi Vigneri. (2022). A survey on security challenges and solutions in the IOTA. Journal of Network and Computer Applications. 203. 103383–103383. 47 indexed citations
3.
Shankar, Achyut, Ajay Kumar, Kumar Abhishek, et al.. (2021). Advanced Deep Learning Algorithms for Infectious Disease ModelingUsing Clinical Data: A Case Study on COVID-19. Current Medical Imaging Formerly Current Medical Imaging Reviews. 18(5). 570–582. 1 indexed citations
4.
Kumar, Ajay, Kumar Abhishek, Muhammad Rukunuddin Ghalib, et al.. (2020). Securing logistics system and supply chain using Blockchain. Applied Stochastic Models in Business and Industry. 37(3). 413–428. 21 indexed citations
5.
Nerurkar, Pranav, Dhiren Patel, Yann Busnel, et al.. (2020). Dissecting bitcoin blockchain: Empirical analysis of bitcoin network (2009–2020). Journal of Network and Computer Applications. 177. 102940–102940. 52 indexed citations
6.
Kumar, Ajay, Kumar Abhishek, Muhammad Rukunuddin Ghalib, et al.. (2020). Towards cough sound analysis using the Internet of things and deep learning for pulmonary disease prediction. Transactions on Emerging Telecommunications Technologies. 33(10). 18 indexed citations
7.
Kumar, Ajay, Kumar Abhishek, Pranav Nerurkar, et al.. (2020). Empirical Analysis of Bitcoin network (2016-2020). 96–101. 6 indexed citations
8.
Nerurkar, Pranav, Sunil Bhirud, Dhiren Patel, et al.. (2020). Supervised learning model for identifying illegal activities in Bitcoin. Applied Intelligence. 51(6). 3824–3843. 38 indexed citations
9.
Kumar, Ajay, Kumar Abhishek, Pranav Nerurkar, et al.. (2020). Secure smart contracts for cloud‐based manufacturing using Ethereum blockchain. Transactions on Emerging Telecommunications Technologies. 33(4). 51 indexed citations
10.
Kumar, Ajay, Kumar Abhishek, Amit Kumar Singh, et al.. (2020). Multilabel classification of remote sensed satellite imagery. Transactions on Emerging Telecommunications Technologies. 32(7). 20 indexed citations
11.
Nerurkar, Pranav, et al.. (2020). Cuisine Recommendation, Classification and Review Analysis using Supervised Learning. 1–6. 1 indexed citations
12.
Nerurkar, Pranav, et al.. (2019). Understanding attribute and social circle correlation in social networks. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 1228–1242. 2 indexed citations
13.
Nerurkar, Pranav, et al.. (2019). Survey of network embedding techniques for social networks. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27(6). 4768–4782. 4 indexed citations
14.
Nerurkar, Pranav, et al.. (2019). Empirical analysis of synthetic and real networks. International Journal of Information Technology. 14(2). 1061–1073. 5 indexed citations
15.
Nerurkar, Pranav, et al.. (2019). Exploring convolutional auto-encoders for representation learning on networks. Computer Science. 20(3). 350–350. 3 indexed citations
16.
Nerurkar, Pranav, et al.. (2019). Measurement of network-based and random meetings in social networks. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 765–779. 2 indexed citations
17.
Nerurkar, Pranav, et al.. (2019). Understanding structure and behavior of systems: a network perspective. International Journal of Information Technology. 14(2). 1145–1159. 6 indexed citations
18.
Nerurkar, Pranav, et al.. (2019). Representation learning for social networks using Homophily based Latent Space Model. 11. 38–43. 1 indexed citations
19.
Nerurkar, Pranav, et al.. (2018). Empirical Analysis of Data Clustering Algorithms. Procedia Computer Science. 125. 770–779. 56 indexed citations
20.
Nerurkar, Pranav, et al.. (2018). A Novel Heuristic for Evolutionary Clustering. Procedia Computer Science. 125. 780–789. 14 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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