Abhinav Pathak

2.5k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Abhinav Pathak is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Abhinav Pathak has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 19 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Abhinav Pathak's work include Green IT and Sustainability (11 papers), Caching and Content Delivery (7 papers) and Opportunistic and Delay-Tolerant Networks (7 papers). Abhinav Pathak is often cited by papers focused on Green IT and Sustainability (11 papers), Caching and Content Delivery (7 papers) and Opportunistic and Delay-Tolerant Networks (7 papers). Abhinav Pathak collaborates with scholars based in United States, India and United Kingdom. Abhinav Pathak's co-authors include Y. Charlie Hu, Ming Zhang, Y. Charlie Hu, Samuel P. Midkiff, Abhilash Jindal, Paramvir Bahl, Yimin Wang, Ming Zhang, Yu Hu and Himabindu Pucha and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, Ingénierie des systèmes d information and Pertanika journal of science & technology.

In The Last Decade

Abhinav Pathak

29 papers receiving 1.7k citations

Hit Papers

Where is the energy spent inside my app? 2012 2026 2016 2021 2012 100 200 300 400
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. Where is the energy spent inside my app?
    2012 479 citations Abhinav Pathak, Y. Charlie Hu 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
Abhinav Pathak United States 15 1.4k 1.3k 400 176 165 37 1.8k
Birjodh Tiwana United States 4 880 0.6× 795 0.6× 177 0.4× 91 0.5× 193 1.2× 4 1.1k
Mark D. Corner United States 21 631 0.5× 1.2k 1.0× 408 1.0× 26 0.1× 137 0.8× 43 1.6k
Fernando Castor Brazil 21 508 0.4× 710 0.6× 1.2k 3.1× 48 0.3× 36 0.2× 105 1.8k
João Saraiva Portugal 21 359 0.3× 412 0.3× 395 1.0× 40 0.2× 41 0.2× 105 1.1k
Julien Freudiger Switzerland 14 864 0.6× 582 0.5× 242 0.6× 87 0.5× 41 0.2× 26 1.4k
Sunghwan Ihm United States 10 673 0.5× 2.0k 1.6× 989 2.5× 14 0.1× 349 2.1× 14 2.1k
Carla Ellis United States 22 576 0.4× 1.5k 1.2× 560 1.4× 18 0.1× 117 0.7× 41 1.9k
Moo-Ryong Ra United States 10 474 0.3× 934 0.7× 332 0.8× 15 0.1× 262 1.6× 24 1.2k
Adam J. Oliner United States 15 194 0.1× 1.2k 1.0× 583 1.5× 19 0.1× 47 0.3× 21 1.4k
Marinho Barcellos Brazil 15 549 0.4× 1.5k 1.2× 524 1.3× 29 0.2× 187 1.1× 90 1.8k

Countries citing papers authored by Abhinav Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Pathak. A scholar is included among the top collaborators of Abhinav Pathak 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 Abhinav Pathak. Abhinav Pathak 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.
Pathak, Abhinav, et al.. (2025). A machine learning framework for predicting student placement outcomes. Ingénierie des systèmes d information. 30(7). 1715–1721.
2.
Pathak, Abhinav, et al.. (2025). Machine Fault Diagnosis Using Random Forest with Recursive Feature Elimination and Cross Validation. Journal of Machine and Computing. 1700–1711.
3.
4.
Pathak, Abhinav, V. Kalaichelvi, Sujala D. Shetty, et al.. (2025). A Retrieval-Augmented Generation (RAG)-Based LLM for Modern Warehouse Automation and Management. 1688–1694.
5.
Pathak, Abhinav, et al.. (2023). Modelling and Analysis of Hybrid Fuzzy Tuned PI Controller based PMBLDC Motor for Electric Vehicle Applications. International Journal of Electrical and Electronics Engineering. 10(2). 8–18. 9 indexed citations
6.
Pathak, Abhinav, et al.. (2022). A Hybrid Technique for Analysis of Low-Frequency Oscillation in Power System. Pertanika journal of science & technology. 30(3). 2033–2052.
7.
Pathak, Abhinav, et al.. (2021). A Comparative Study of Prony Based Method for Identification of Low-Frequency Oscillations in the Power System. International Journal of Engineering Trends and Technology. 69(8). 174–178. 1 indexed citations
8.
Pathak, Abhinav, et al.. (2020). Low-Frequency Oscillation in Power System. International Journal of Innovative Technology and Exploring Engineering. 9(3S2). 5–9.
9.
Vanelderen, Pieter, Víctor Blanco, Ming Mao, et al.. (2019). Impact of sequential infiltration synthesis (SIS) on roughness and stochastic nano-failures for EUVL patterning. 23–23. 4 indexed citations
10.
Pathak, Abhinav, Y. Charlie Hu, & Ming Zhang. (2012). Where is the energy spent inside my app?. 29–42. 479 indexed citations breakdown →
11.
Ding, Ning, et al.. (2012). Realizing the full potential of PSM using proxying. 2821–2825. 27 indexed citations
12.
Pathak, Abhinav, Yang Hu, Ming Zhang, Paramvir Bahl, & Yi‐Min Wang. (2011). Enabling Automatic Offloading of Resource-Intensive Smartphone Applications. Purdue e-Pubs (Purdue University System). 16 indexed citations
13.
Pathak, Abhinav, Y. Charlie Hu, & Ming Zhang. (2011). Bootstrapping energy debugging on smartphones. 1–6. 162 indexed citations
14.
Pathak, Abhinav, Y. Charlie Hu, Ming Zhang, Paramvir Bahl, & Yimin Wang. (2011). Fine-grained power modeling for smartphones using system call tracing. 153–168. 294 indexed citations
15.
Qian, Feng, Abhinav Pathak, Yu Hu, Z. Morley Mao, & Yinglian Xie. (2010). A case for unsupervised-learning-based spam filtering. ACM SIGMETRICS Performance Evaluation Review. 38(1). 367–368. 7 indexed citations
16.
Kambatla, Karthik, Abhinav Pathak, & Himabindu Pucha. (2009). Towards optimizing hadoop provisioning in the cloud. IEEE International Conference on Cloud Computing Technology and Science. 22. 131 indexed citations
17.
Pathak, Abhinav, Feng Qian, Y. Charlie Hu, Z. Morley Mao, & Supranamaya Ranjan. (2009). Botnet spam campaigns can be long lasting. 13–24. 32 indexed citations
18.
Pathak, Abhinav, Feng Qian, Y. Charlie Hu, Z. Morley Mao, & Supranamaya Ranjan. (2009). Botnet spam campaigns can be long lasting. ACM SIGMETRICS Performance Evaluation Review. 37(1). 13–24. 3 indexed citations
19.
Pathak, Abhinav, Sabyasachi Roy, & Y. Charlie Hu. (2007). A Case for a Spam-Aware Mail Server Architecture. 4 indexed citations
20.
Mishra, Nilesh, Kameswari Chebrolu, Bhaskaran Raman, & Abhinav Pathak. (2006). Wake-on-WLAN. 761–769. 65 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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