Aditya Vempaty

877 total citations
34 papers, 555 citations indexed

About

Aditya Vempaty is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Aditya Vempaty has authored 34 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Aditya Vempaty's work include Distributed Sensor Networks and Detection Algorithms (22 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Sparse and Compressive Sensing Techniques (5 papers). Aditya Vempaty is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (22 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Sparse and Compressive Sensing Techniques (5 papers). Aditya Vempaty collaborates with scholars based in United States, India and Taiwan. Aditya Vempaty's co-authors include Pramod K. Varshney, Lang Tong, Lav R. Varshney, Ruixin Niu, Onur Özdemir, Hao Chen, Hao Chen, Biao Chen, Makan Fardad and Sijia Liu and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Aditya Vempaty

33 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditya Vempaty United States 11 371 297 214 76 57 34 555
Yunfeng Guan China 11 149 0.4× 85 0.3× 290 1.4× 51 0.7× 116 2.0× 63 536
Xuangou Wu China 13 254 0.7× 73 0.2× 243 1.1× 40 0.5× 22 0.4× 47 472
Guo Wei China 15 458 1.2× 197 0.7× 347 1.6× 27 0.4× 5 0.1× 125 770
Yijun Mo China 14 335 0.9× 112 0.4× 344 1.6× 17 0.2× 17 0.3× 54 679
Michael R. Souryal United States 16 670 1.8× 104 0.4× 729 3.4× 61 0.8× 18 0.3× 61 1.0k
Hosam Rowaihy United States 9 322 0.9× 108 0.4× 113 0.5× 37 0.5× 12 0.2× 17 390
Ningrinla Marchang India 12 480 1.3× 168 0.6× 202 0.9× 24 0.3× 20 0.4× 46 805
Hongwu Lv China 13 279 0.8× 121 0.4× 172 0.8× 26 0.3× 9 0.2× 66 492
Hyun Jong Yang South Korea 18 483 1.3× 134 0.5× 669 3.1× 22 0.3× 11 0.2× 91 1.0k
Jun Tao China 12 221 0.6× 108 0.4× 150 0.7× 25 0.3× 16 0.3× 102 457

Countries citing papers authored by Aditya Vempaty

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Vempaty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Vempaty

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Vempaty. A scholar is included among the top collaborators of Aditya Vempaty 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 Aditya Vempaty. Aditya Vempaty 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.
Vempaty, Aditya. (2019). Hop-Count based Distance Estimation in Wireless Sensor Networks under Byzantine Attacks. 1. 81–85. 1 indexed citations
2.
Vempaty, Aditya, et al.. (2018). Research Questions to Support Conversational Learning in the Era of Ubiquitous, Mobile Agents.. ICLS. 1 indexed citations
3.
Vempaty, Aditya, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, & Pramod K. Varshney. (2018). Experiments and Models for Decision Fusion by Humans in Inference Networks. IEEE Transactions on Signal Processing. 66(11). 2960–2971. 13 indexed citations
4.
Koop, Gregory J., Aditya Vempaty, & Amy H. Criss. (2017). Experiments and Models for Decision Fusion by Humans in Sociotechnical Networks. OSF Preprints (OSF Preprints).
5.
Tao, Yong, Debarun Bhattacharjya, Aliza Heching, et al.. (2017). Effectiveness of peer detailing in a diarrhea program in Nigeria. IBM Journal of Research and Development. 61(6). 1:1–1:12. 2 indexed citations
6.
Riemer, Matthew, et al.. (2016). Correcting forecasts with multifactor neural attention. International Conference on Machine Learning. 3010–3019. 8 indexed citations
7.
Liu, Sijia, et al.. (2015). Sparsity-promoting sensor management for estimation: An energy balance point of view. International Conference on Information Fusion. 231–238. 6 indexed citations
8.
Kailkhura, Bhavya, Aditya Vempaty, & Pramod K. Varshney. (2015). Distributed Inference in Tree Networks Using Coding Theory. IEEE Transactions on Signal Processing. 63(14). 3715–3726. 1 indexed citations
9.
Vempaty, Aditya & Lav R. Varshney. (2015). The Non-Regular CEO Problem. IEEE Transactions on Information Theory. 61(5). 2764–2775. 7 indexed citations
10.
Vempaty, Aditya, Priyadip Ray, & Pramod K. Varshney. (2014). False discovery rate based distributed detection in the presence of Byzantines. IEEE Transactions on Aerospace and Electronic Systems. 50(3). 1826–1840. 10 indexed citations
11.
Liu, Sijia, Aditya Vempaty, Makan Fardad, Engin Maşazade, & Pramod K. Varshney. (2014). Energy-Aware Sensor Selection in Field Reconstruction. IEEE Signal Processing Letters. 21(12). 1476–1480. 33 indexed citations
12.
Vempaty, Aditya, Yunghsiang S. Han, Lav R. Varshney, & Pramod K. Varshney. (2014). Coding theory for reliable signal processing. 6314. 200–205. 1 indexed citations
13.
Vempaty, Aditya, et al.. (2013). Further results on noise-enhanced distributed inference in the presence of Byzantines. Wireless Personal Multimedia Communications. 1–5. 3 indexed citations
14.
Vempaty, Aditya, Lav R. Varshney, & Pramod K. Varshney. (2013). Reliable classification by unreliable crowds. 6314. 5558–5562. 6 indexed citations
15.
Vempaty, Aditya, Lang Tong, & Pramod K. Varshney. (2013). Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks. IEEE Signal Processing Magazine. 30(5). 65–75. 101 indexed citations
16.
Vempaty, Aditya, Biao Chen, & Pramod K. Varshney. (2013). Optimal quantizers for distributed Bayesian estimation. 4893–4897. 4 indexed citations
17.
Vempaty, Aditya, Yunghsiang S. Han, & Pramod K. Varshney. (2013). Target localization in Wireless Sensor Networks using error correcting codes in the presence of Byzantines. 5195–5199. 5 indexed citations
18.
Vempaty, Aditya, Yunghsiang S. Han, & Pramod K. Varshney. (2013). Byzantine tolerant target localization in wireless sensor networks over non-ideal channels. 4. 407–411. 2 indexed citations
19.
Vempaty, Aditya, et al.. (2012). Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques. IEEE Transactions on Signal Processing. 61(6). 1495–1508. 82 indexed citations
20.
Sharma, Pranay, et al.. (2011). On noise-enhanced distributed inference in the presence of Byzantines. Scholar Works (Boise State University). 2. 1222–1229. 12 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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