Pramod K. Varshney

463 total citations
11 papers, 332 citations indexed

About

Pramod K. Varshney is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Pramod K. Varshney has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Pramod K. Varshney's work include Distributed Sensor Networks and Detection Algorithms (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Indoor and Outdoor Localization Technologies (2 papers). Pramod K. Varshney is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Indoor and Outdoor Localization Technologies (2 papers). Pramod K. Varshney collaborates with scholars based in United States, China and Australia. Pramod K. Varshney's co-authors include Ruixin Niu, Hao Chen, Biao Chen, Bhavya Kailkhura, Swastik Brahma, Priyadip Ray, Keren Li, Marimuthu Palaniswami, Ramachandran Vaidyanathan and C. Hartmann and has published in prestigious journals such as IEEE Transactions on Signal Processing, Signal Processing and Information Processing Letters.

In The Last Decade

Pramod K. Varshney

10 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pramod K. Varshney United States	6	279	231	131	42	28	11	332
Tsang-Yi Wang Taiwan	10	315 1.1×	150 0.6×	185 1.4×	60 1.4×	17 0.6×	37	371
G. Mergen United States	11	740 2.7×	138 0.6×	503 3.8×	20 0.5×	21 0.8×	16	775
X. Wang United States	8	297 1.1×	92 0.4×	319 2.4×	20 0.5×	70 2.5×	18	448
Dimitrios Katselis Sweden	11	197 0.7×	38 0.2×	432 3.3×	30 0.7×	40 1.4×	33	542
A. Marrs United Kingdom	10	144 0.5×	259 1.1×	49 0.4×	79 1.9×	7 0.3×	22	317
Marc Reinhardt Germany	10	266 1.0×	362 1.6×	52 0.4×	171 4.1×	6 0.2×	16	398
Ondrej Slučiak Austria	8	253 0.9×	220 1.0×	79 0.6×	41 1.0×	16 0.6×	15	338
Kon Max Wong Canada	6	296 1.1×	54 0.2×	320 2.4×	24 0.6×	41 1.5×	8	441
Yawgeng A. Chau Taiwan	9	219 0.8×	50 0.2×	334 2.5×	15 0.4×	5 0.2×	61	404

Countries citing papers authored by Pramod K. Varshney

Since Specialization

Citations

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

Fields of papers citing papers by Pramod K. Varshney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pramod K. Varshney. 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 Pramod K. Varshney. The network helps show where Pramod K. Varshney may publish in the future.

Co-authorship network of co-authors of Pramod K. Varshney

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

All Works

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11 of 11 papers shown

Shen, Xiaojing, et al.. (2024). Ellipsoidal extended target estimation fusion via Wasserstein barycentric coordinates. Signal Processing. 230. 109857–109857.

Geng, Baocheng, et al.. (2024). Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. 1–8. 5 indexed citations

Kailkhura, Bhavya, Swastik Brahma, & Pramod K. Varshney. (2014). On the performance analysis of data fusion schemes with Byzantines. 7411–7415. 10 indexed citations

Chen, Hao, et al.. (2012). Optimal Identical Binary Quantizer Design for Distributed Estimation. IEEE Transactions on Signal Processing. 60(7). 3896–3901. 38 indexed citations

Varshney, Pramod K., et al.. (2012). Cramér-Rao Bounds for Polynomial Signal Estimation Using Sensors With AR(1) Drift. IEEE Transactions on Signal Processing. 60(10). 5494–5507. 4 indexed citations

Chen, Hao, Biao Chen, & Pramod K. Varshney. (2011). A New Framework for Distributed Detection With Conditionally Dependent Observations. IEEE Transactions on Signal Processing. 60(3). 1409–1419. 67 indexed citations

Ray, Priyadip & Pramod K. Varshney. (2008). A false discovery rate based detector for detection of targets in clutter and noise. 1–6. 2 indexed citations

Niu, Ruixin & Pramod K. Varshney. (2007). Source Localization in Sensor Networks with Rayleigh Faded Signals. III–1229. 10 indexed citations

Ray, Priyadip, Pramod K. Varshney, & Ruixin Niu. (2007). A novel framework for the network-wide distributed detection problem. 1–8. 4 indexed citations

10.

Niu, Ruixin & Pramod K. Varshney. (2006). Target Location Estimation in Sensor Networks With Quantized Data. IEEE Transactions on Signal Processing. 54(12). 4519–4528. 190 indexed citations

11.

Vaidyanathan, Ramachandran, C. Hartmann, & Pramod K. Varshney. (1992). PRAMs with variable word-size. Information Processing Letters. 42(4). 217–222. 2 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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