Sanjeev Kulkarni

2.0k total citations · 2 hit papers
21 papers, 1.3k citations indexed

About

Sanjeev Kulkarni is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sanjeev Kulkarni has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 6 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sanjeev Kulkarni's work include Cloud Computing and Resource Management (4 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Mobile Ad Hoc Networks (2 papers). Sanjeev Kulkarni is often cited by papers focused on Cloud Computing and Resource Management (4 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Mobile Ad Hoc Networks (2 papers). Sanjeev Kulkarni collaborates with scholars based in United States, India and Germany. Sanjeev Kulkarni's co-authors include Karthik Ramasamy, Jignesh M. Patel, Maosong Fu, Joel B. Predd, H. Vincent Poor, Dmitriy Ryaboy, Jason Baird Jackson, Krishna Gade, Amit K. Shukla and Christopher Kellogg and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Signal Processing Magazine and Proceedings of the VLDB Endowment.

In The Last Decade

Sanjeev Kulkarni

18 papers receiving 1.3k citations

Hit Papers

Storm@twitter 2014 2026 2018 2022 2014 2015 100 200 300 400 500
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. Storm@twitter
    2014 599 citations Amit K. Shukla, Karthik Ramasamy et al. profile →
  2. Twitter Heron
    2015 367 citations Sanjeev Kulkarni, Maosong Fu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjeev Kulkarni United States 8 1.0k 640 469 200 152 21 1.3k
Ningfang Mi United States 26 1.2k 1.2× 917 1.4× 275 0.6× 64 0.3× 186 1.2× 103 1.6k
Haoyuan Li China 12 1.1k 1.1× 825 1.3× 412 0.9× 223 1.1× 248 1.6× 42 1.6k
Jonathan Ledlie United States 18 1.2k 1.1× 368 0.6× 209 0.4× 321 1.6× 203 1.3× 30 1.7k
Jeong-Hyon Hwang United States 15 1.5k 1.4× 701 1.1× 474 1.0× 728 3.6× 182 1.2× 30 1.8k
Qirong Ho United States 17 415 0.4× 336 0.5× 1.1k 2.3× 67 0.3× 505 3.3× 38 1.5k
Kai Shuang China 20 718 0.7× 513 0.8× 343 0.7× 68 0.3× 179 1.2× 93 1.2k
Himanshu Gupta India 18 891 0.9× 361 0.6× 269 0.6× 310 1.6× 133 0.9× 68 1.3k
Antonio Nucci United States 27 1.3k 1.3× 310 0.5× 881 1.9× 469 2.3× 103 0.7× 72 1.7k
Leonardo Querzoni Italy 18 840 0.8× 456 0.7× 285 0.6× 193 1.0× 159 1.0× 75 1.1k

Countries citing papers authored by Sanjeev Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Kulkarni. A scholar is included among the top collaborators of Sanjeev Kulkarni 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 Sanjeev Kulkarni. Sanjeev Kulkarni 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.
2.
Kulkarni, Sanjeev, et al.. (2024). Advanced Machine Learning Algorithms for Predictive Maintenance in Industrial Manufacturing Systems. South Eastern European Journal of Public Health. 716–723.
3.
Kulkarni, Sanjeev, et al.. (2017). Mobile powered sub-group detection/formation using taste-based collaborative filtering technique. 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). 296. 1–5. 2 indexed citations
4.
Kejariwal, Arun, Sanjeev Kulkarni, & Karthik Ramasamy. (2015). Real time analytics. Proceedings of the VLDB Endowment. 8(12). 2040–2041. 28 indexed citations
5.
Kulkarni, Sanjeev, et al.. (2015). Twitter Heron. 239–250. 367 indexed citations breakdown →
6.
Reinhardt, Marc, Benjamin Noack, Sanjeev Kulkarni, & Uwe D. Hanebeck. (2014). Distributed Kalman filtering in the presence of packet delays and losses. Repository KITopen (Karlsruhe Institute of Technology). 1–7. 1 indexed citations
7.
Zhang, Zhuo, Pan Hui, Sanjeev Kulkarni, & Christoph Peylo. (2014). Enabling an augmented reality ecosystem. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 41–46. 4 indexed citations
8.
Shukla, Amit K., Karthik Ramasamy, Jignesh M. Patel, et al.. (2014). Storm@twitter. 147–156. 599 indexed citations breakdown →
9.
Kulkarni, Sanjeev, et al.. (2013). Privacy and Security Issues In Mobile Social Networking and in Modern Shopping Experience. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 5(1). 69–73. 2 indexed citations
10.
Kulkarni, Sanjeev, et al.. (2012). Ad-Hoc Group Formation/Detection for Better Shopping Experience. 1 indexed citations
11.
Kulkarni, Sanjeev. (2012). Link Stability Based Multipath Video Transmission Over MANET. International Journal of Distributed and Parallel systems. 3(2). 133–140. 4 indexed citations
12.
Zhang, Zhuo, Paul Cuff, & Sanjeev Kulkarni. (2012). Iterative collaborative filtering for recommender systems with sparse data. 1–6. 4 indexed citations
13.
Kulkarni, Sanjeev & Gilbert Harman. (2011). An Elementary Introduction to Statistical Learning Theory. Wiley series in probability and statistics. 24 indexed citations
14.
Pollak, Ilya, Marco Avellaneda, Emmanuel Bacry, Rama Cont, & Sanjeev Kulkarni. (2011). Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors]. IEEE Signal Processing Magazine. 28(5). 14–15. 1 indexed citations
15.
Kulkarni, Sanjeev, et al.. (2010). Present Personal Sensor Network with Pros and Cons. 259–264. 1 indexed citations
16.
Kulkarni, Sanjeev, et al.. (2010). Strengths and Weakness of Present Social Networks. 325–328. 1 indexed citations
17.
Harman, Gilbert & Sanjeev Kulkarni. (2008). Reliable reasoning: induction and statistical learning theory. Choice Reviews Online. 45(7). 45–3711. 29 indexed citations
18.
Powell, Warren B., et al.. (2006). Combining cost-based and rule-based knowledge in complex resource allocation problems. IIE Transactions. 38(2). 159–172. 9 indexed citations
19.
Predd, Joel B., Sanjeev Kulkarni, & H. Vincent Poor. (2006). Distributed learning in wireless sensor networks. IEEE Signal Processing Magazine. 23(4). 56–69. 247 indexed citations
20.

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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