Manoj Alwani

620 total citations · 1 hit paper
7 papers, 465 citations indexed

About

Manoj Alwani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Manoj Alwani has authored 7 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Civil and Structural Engineering. Recurrent topics in Manoj Alwani's work include Image and Signal Denoising Methods (2 papers), Advanced Neural Network Applications (2 papers) and Structural Health Monitoring Techniques (1 paper). Manoj Alwani is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Advanced Neural Network Applications (2 papers) and Structural Health Monitoring Techniques (1 paper). Manoj Alwani collaborates with scholars based in India, United States and Norway. Manoj Alwani's co-authors include Han Chen, Michael Ferdman, Peter Milder, Anil Kumar Tiwari, Yang Wang, Vashisht Madhavan, Ingrid K. Friberg, Fatema Khatun, Yang Wang and J. Frederik Frøen and has published in prestigious journals such as Global Health Action, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Civil Engineering Systems.

In The Last Decade

Manoj Alwani

7 papers receiving 458 citations

Hit Papers

1 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.

Fused-layer CNN accelerators

2016 406 citations Manoj Alwani, Han Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manoj Alwani India	3	345	253	139	93	42	7	465
Huiying Lan China	4	332 1.0×	258 1.0×	202 1.5×	116 1.2×	39 0.9×	8	476
Philipp Gysel United States	4	251 0.7×	197 0.8×	123 0.9×	47 0.5×	25 0.6×	5	347
Guohao Dai China	10	160 0.5×	199 0.8×	157 1.1×	113 1.2×	84 2.0×	46	432
Kevin Siu Canada	8	251 0.7×	191 0.8×	142 1.0×	67 0.7×	31 0.7×	10	356
Chaojian Li United States	12	177 0.5×	152 0.6×	146 1.1×	67 0.7×	22 0.5×	33	420
Haoran You United States	13	211 0.6×	164 0.6×	219 1.6×	46 0.5×	25 0.6×	23	443
Jon J. Pimentel United States	6	136 0.4×	158 0.6×	85 0.6×	80 0.9×	86 2.0×	8	303
Bharat Kaul United States	10	269 0.8×	278 1.1×	184 1.3×	208 2.2×	120 2.9×	18	577
Eric Qin United States	8	144 0.4×	252 1.0×	125 0.9×	188 2.0×	116 2.8×	11	459

Countries citing papers authored by Manoj Alwani

Since Specialization

Citations

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

Fields of papers citing papers by Manoj Alwani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Alwani

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Alwani. A scholar is included among the top collaborators of Manoj Alwani 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 Manoj Alwani. Manoj Alwani 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:

7 of 7 papers shown

1.

Khatun, Fatema, Monjur Rahman, Manoj Alwani, et al.. (2022). Comparison of a palm-based biometric solution with a name-based identification system in rural Bangladesh. Global Health Action. 15(1). 2045769–2045769. 1 indexed citations

2.

Alwani, Manoj, Yang Wang, & Vashisht Madhavan. (2022). DECORE: Deep Compression with Reinforcement Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12339–12349. 25 indexed citations

3.

Alwani, Manoj, Han Chen, Michael Ferdman, & Peter Milder. (2016). Fused-layer CNN accelerators. 1–12. 406 indexed citations breakdown →

4.

Alwani, Manoj, et al.. (2010). Enhancement of fog degraded images on the basis of histrogram classification. Annual Conference on Computers. 549–554. 1 indexed citations

5.

Alwani, Manoj, et al.. (2010). A survey on lossless image compression methods. V6–136. 30 indexed citations

6.

Alwani, Manoj, et al.. (2010). Restricted affine motion compensation in video coding using particle filtering. 29. 479–484. 1 indexed citations

7.

May, Ian, et al.. (1997). THE VALIDATION OF A KNOWLEDGE BASED SYSTEM FOR THE DIAGNOSIS OF THE CAUSES OF CRACKING IN MASONRY STRUCTURES. Civil Engineering Systems. 14(4). 269–289. 1 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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