Onkar Dabeer

1.6k total citations · 1 hit paper
43 papers, 925 citations indexed

About

Onkar Dabeer is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Onkar Dabeer has authored 43 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Onkar Dabeer's work include Distributed Sensor Networks and Detection Algorithms (9 papers), Advanced MIMO Systems Optimization (8 papers) and Advanced Wireless Communication Techniques (8 papers). Onkar Dabeer is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (9 papers), Advanced MIMO Systems Optimization (8 papers) and Advanced Wireless Communication Techniques (8 papers). Onkar Dabeer collaborates with scholars based in India, United States and Canada. Onkar Dabeer's co-authors include Upamanyu Madhow, Jaspreet Singh, Aditya Karnik, Subhasis Chaudhuri, E. Masry, Dongqing Zhang, Jongheon Jeong, Avinash Ravichandran, Taewan Kim and Elias Masry and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

Onkar Dabeer

41 papers receiving 882 citations

Hit Papers

align trajectories

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.

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

2023 125 citations Jongheon Jeong, Taewan Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Onkar Dabeer India	12	465	285	181	159	155	43	925
Susmita Das India	17	529 1.1×	313 1.1×	72 0.4×	70 0.4×	182 1.2×	139	1.1k
Po-Yu Chen Taiwan	11	220 0.5×	226 0.8×	115 0.6×	174 1.1×	109 0.7×	28	762
Michele Vadursi Italy	17	353 0.8×	317 1.1×	82 0.5×	59 0.4×	160 1.0×	73	674
Saeid Nooshabadi United States	17	516 1.1×	248 0.9×	139 0.8×	298 1.9×	187 1.2×	164	986
Aziza I. Hussein Egypt	14	203 0.4×	146 0.5×	107 0.6×	168 1.1×	120 0.8×	76	622
Yoshikazu Miyanaga Japan	16	578 1.2×	344 1.2×	312 1.7×	195 1.2×	66 0.4×	241	1.2k
Xinggan Zhang China	15	287 0.6×	189 0.7×	75 0.4×	204 1.3×	107 0.7×	87	764
Omid Abari United States	20	1.0k 2.2×	341 1.2×	76 0.4×	123 0.8×	143 0.9×	55	1.4k
Aidong Men China	18	480 1.0×	229 0.8×	233 1.3×	574 3.6×	178 1.1×	144	1.2k

Countries citing papers authored by Onkar Dabeer

Since Specialization

Citations

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

Fields of papers citing papers by Onkar Dabeer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Onkar Dabeer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Jeong, Jongheon, et al.. (2023). WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. 19606–19616. 125 indexed citations breakdown →

2.

Jain, Achin, Paolo Favaro, Yang Hao, et al.. (2023). A Meta-Learning Approach to Predicting Performance and Data Requirements. 3623–3632. 5 indexed citations

3.

Dabeer, Onkar, et al.. (2021). Timing Tweets to Increase Effectiveness of Information Campaigns. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 105–112. 2 indexed citations

4.

Dabeer, Onkar, Wei Ding, Slawomir K. Grzechnik, et al.. (2017). An end-to-end system for crowdsourced 3D maps for autonomous vehicles: The mapping component. 634–641. 27 indexed citations

5.

Chaudhuri, Subhasis, et al.. (2015). HoIP: A point-to-point haptic data communication protocol and its evaluation. 1–6. 10 indexed citations

6.

Dabeer, Onkar, et al.. (2013). Optimal Subcarrier Power Allocation for OFDM with Low Precision ADC at Receiver. IEEE Transactions on Communications. 61(11). 4591–4601. 6 indexed citations

7.

Bhardwaj, Amit, Onkar Dabeer, & Subhasis Chaudhuri. (2013). Can we improve over weber sampling of haptic signals?. 1–6. 9 indexed citations

8.

Dabeer, Onkar, et al.. (2010). What is Popular Amongst Your Friends. arXiv (Cornell University). 1 indexed citations

9.

Dabeer, Onkar, et al.. (2010). Local popularity based collaborative filters. abs 908 2494. 1668–1672. 2 indexed citations

10.

Dabeer, Onkar & Subhasis Chaudhuri. (2010). Analysis of an Adaptive Sampler Based on Weber's Law. IEEE Transactions on Signal Processing. 59(4). 1868–1878. 17 indexed citations

11.

Dabeer, Onkar, et al.. (2009). Capacity of MIMO systems with asynchronous PAM. IEEE Transactions on Communications. 57(11). 3366–3375. 10 indexed citations

12.

Dabeer, Onkar & Elias Masry. (2008). Multivariate Signal Parameter Estimation Under Dependent Noise From 1-Bit Dithered Quantized Data. IEEE Transactions on Information Theory. 54(4). 1637–1654. 40 indexed citations

13.

Singh, Jaspreet, Onkar Dabeer, & Upamanyu Madhow. (2008). Capacity of the discrete-time AWGN channel under output quantization. 1218–1222. 29 indexed citations

14.

Singh, Jaspreet, Onkar Dabeer, & Upamanyu Madhow. (2007). Communication Limits with Low Precision Analog-to-Digital Conversion at the Receiver. 6269–6274. 29 indexed citations

15.

Dabeer, Onkar & Aditya Karnik. (2006). Consistent Signal Parameter Estimation With 1-Bit Dithered Sampling. Zenodo (CERN European Organization for Nuclear Research). 1–5. 2 indexed citations

16.

Dabeer, Onkar. (2006). Improved Grade-of-Service in Random Access Schemes with Frequency Binning. 2006 IEEE International Conference on Communications. 4786–4791. 1 indexed citations

17.

Dabeer, Onkar, Jaspreet Singh, & Upamanyu Madhow. (2006). On the Limits of Communication Performance with One-Bit Analog-To-Digital Conversion. 35 indexed citations

18.

Dabeer, Onkar, Kyle T. Sullivan, Upamanyu Madhow, S. Chandrasekaran, & B.S. Manjunath. (2004). Detection of Hiding in the Least Significant Bit. IEEE Transactions on Signal Processing. 52(10). 3046–3058. 51 indexed citations

19.

Sullivan, Kyle T., Onkar Dabeer, Upamanyu Madhow, B.S. Manjunath, & S. Chandrasekaran. (2004). LLRT based detection of LSB hiding. 1. I–497. 9 indexed citations

20.

Dabeer, Onkar & E. Masry. (2003). Convergence analysis of the constant modulus algorithm. IEEE Transactions on Information Theory. 49(6). 1447–1464. 32 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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