Vinod Pachghare

1000 total citations · 1 hit paper
39 papers, 621 citations indexed

About

Vinod Pachghare is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Vinod Pachghare has authored 39 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Vinod Pachghare's work include Network Security and Intrusion Detection (17 papers), Advanced Malware Detection Techniques (12 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Vinod Pachghare is often cited by papers focused on Network Security and Intrusion Detection (17 papers), Advanced Malware Detection Techniques (12 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Vinod Pachghare collaborates with scholars based in India, Canada and South Africa. Vinod Pachghare's co-authors include V. C. Patil, Sunil Kumar Jha, Shyamal S. Virnodkar, Parag Kulkarni, Satish R. Kolhe and Deepak Kshirsagar and has published in prestigious journals such as The Computer Journal, Applied Intelligence and Precision Agriculture.

In The Last Decade

Vinod Pachghare

34 papers receiving 564 citations

Hit Papers

Remote sensing and machin... 2020 2026 2022 2024 2020 50 100 150 200
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.

  1. Remote sensing and machine learning for crop water stress determination in various crops: a critical review
    2020 215 citations Shyamal S. Virnodkar, Vinod Pachghare et al. Precision Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinod Pachghare India 12 206 167 165 145 128 39 621
Lijun He China 15 206 1.0× 127 0.8× 175 1.1× 64 0.4× 46 0.4× 53 756
S. P. Raja India 13 113 0.5× 184 1.1× 197 1.2× 135 0.9× 42 0.3× 152 833
Niketa Gandhi India 13 83 0.4× 142 0.9× 298 1.8× 109 0.8× 72 0.6× 40 658
R. Uday Kiran Japan 17 132 0.6× 309 1.9× 134 0.8× 553 3.8× 127 1.0× 79 939
Achilles D. Boursianis Greece 12 201 1.0× 87 0.5× 378 2.3× 71 0.5× 88 0.7× 80 1.2k
Hadi Saboohi Malaysia 10 73 0.4× 280 1.7× 106 0.6× 55 0.4× 38 0.3× 20 579
Jonathan de Andrade Silva Brazil 11 96 0.5× 418 2.5× 55 0.3× 60 0.4× 50 0.4× 26 694
Santanu Phadikar India 15 199 1.0× 311 1.9× 541 3.3× 138 1.0× 85 0.7× 63 1.2k
Damien Hanyurwimfura Rwanda 10 64 0.3× 385 2.3× 118 0.7× 154 1.1× 31 0.2× 44 698
Guillermo L. Grinblat Argentina 10 63 0.3× 94 0.6× 510 3.1× 137 0.9× 149 1.2× 13 880

Countries citing papers authored by Vinod Pachghare

Since Specialization
Citations

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

Fields of papers citing papers by Vinod Pachghare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Pachghare

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Pachghare. A scholar is included among the top collaborators of Vinod Pachghare 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 Vinod Pachghare. Vinod Pachghare 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.
Pachghare, Vinod, et al.. (2025). SUSPICIOUS TRANSACTION IDENTIFICATION AND RECOVERY IN CASSANDRA DATABASE. ASEAN Engineering Journal. 15(1). 103–111.
2.
Pachghare, Vinod, et al.. (2024). Security threats and mitigation techniques affecting trust computation in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography. 27(4). 1161–1172. 2 indexed citations
3.
Pachghare, Vinod, et al.. (2023). Sharding-Based Scalability Enhancement of Blockchain-Based Health Application. 901–906. 2 indexed citations
4.
Pachghare, Vinod, et al.. (2023). Survey on Data Privacy Preserving Techniques in Blockchain Applications. 321–326. 1 indexed citations
5.
Pachghare, Vinod, et al.. (2023). Statistical feature selection based intrusion detection system for internet of things environment. AIP conference proceedings. 2724. 20003–20003.
6.
Pachghare, Vinod, et al.. (2022). Performance Evaluation of Proof of Scope Consensus Mechanisms on Hyperledger. 1–4. 1 indexed citations
7.
Pachghare, Vinod, et al.. (2022). Impact of I-GWO towards Trust based Resource Allocation in Collaborative Cloud. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING.
8.
Pachghare, Vinod, et al.. (2022). A Review on Trust-Based Resource Allocation in Cloud Environment: Issues Toward Collaborative Cloud. International Journal of Semantic Computing. 17(1). 59–91. 2 indexed citations
9.
Pachghare, Vinod, et al.. (2021). Ensemble-Based Filter Feature Selection Technique for Building Flow-Based IDS. 324–328. 6 indexed citations
10.
Pachghare, Vinod, et al.. (2021). Data Tamper Detection from NoSQL Database in Forensic Environment. Journal of Cyber Security and Mobility. 4 indexed citations
11.
Pachghare, Vinod, et al.. (2021). Hybrid Intrusion Detection System. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 1 indexed citations
12.
Pachghare, Vinod, et al.. (2021). An Efficient and Secure Consensus Mechanism for Peer-to-Peer Networks. 808–811. 1 indexed citations
13.
Virnodkar, Shyamal S., Vinod Pachghare, V. C. Patil, & Sunil Kumar Jha. (2021). DenseResUNet: An Architecture to Assess Water-Stressed Sugarcane Crops from Sentinel-2 Satellite Imagery. Traitement du signal. 38(4). 1131–1139. 8 indexed citations
14.
Virnodkar, Shyamal S., Vinod Pachghare, V. C. Patil, & Sunil Kumar Jha. (2020). Remote sensing and machine learning for crop water stress determination in various crops: a critical review. Precision Agriculture. 21(5). 1121–1155. 215 indexed citations breakdown →
15.
Pachghare, Vinod, et al.. (2019). Ten years of critical review on database forensics research. Digital Investigation. 29. 180–197. 24 indexed citations
16.
Pachghare, Vinod, et al.. (2016). Road traffic prediction and congestion control using Artificial Neural Networks. 52–57. 35 indexed citations
17.
Pachghare, Vinod, et al.. (2013). Survey on Intrusion Detection System using Machine Learning Techniques. International Journal of Computer Applications. 78(16). 30–37. 63 indexed citations
18.
Pachghare, Vinod & Parag Kulkarni. (2011). Pattern based network security using decision trees and support vector machine. 254–257. 12 indexed citations
19.
Pachghare, Vinod, et al.. (2010). Self Organizing Maps to Build Intrusion Detection System. International Journal of Computer Applications. 1(8). 1–4. 13 indexed citations
20.
Pachghare, Vinod, et al.. (2009). Intrusion Detection System using Self Organizing Maps. 1–5. 34 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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