Muhammad Haris

5.2k total citations · 2 hit papers
18 papers, 1.6k citations indexed

About

Muhammad Haris is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction. According to data from OpenAlex, Muhammad Haris has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Human-Computer Interaction. Recurrent topics in Muhammad Haris's work include Advanced Image Processing Techniques (9 papers), Advanced Vision and Imaging (8 papers) and Image Processing Techniques and Applications (5 papers). Muhammad Haris is often cited by papers focused on Advanced Image Processing Techniques (9 papers), Advanced Vision and Imaging (8 papers) and Image Processing Techniques and Applications (5 papers). Muhammad Haris collaborates with scholars based in Japan, Indonesia and United States. Muhammad Haris's co-authors include Norimichi Ukita, Greg Shakhnarovich, Gregory Shakhnarovich, Hajime Nobuhara, M. Rahmat Widyanto, Gibran Benítez-García, Yoshiyuki Tsuda, Takuya Watanabe, Fan Liu and S Aleksandric and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Muhammad Haris

15 papers receiving 1.6k 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.

Deep Back-Projection Networks for Super-Resolution

2018 1.1k citations Muhammad Haris, Greg Shakhnarovich et al. profile →
Recurrent Back-Projection Network for Video Super-Resolution

2019 324 citations Muhammad Haris, Gregory Shakhnarovich et al. profile →

Peers

Muhammad Haris

CVPR

MT

EEE

BE

CM

Seungjun Nah South Korea

Jiawei Zhang China

Greg Shakhnarovich United States

Benoît Vozel France

Jianrui Cai Hong Kong

Eduardo S. L. Gastal Brazil

Zhe Hu United States

Samuel W. Hasinoff United States

Jiangxin Dong China

Francesco Banterle Italy

Seungjun Nah South Korea

Muhammad Haris

1.7k ×1.1

CVPR

764 ×0.9

MT

61 ×1.1

EEE

70 ×1.3

BE

40 ×0.9

CM

Citations per year, relative to Muhammad Haris Muhammad Haris (= 1×) peers Seungjun Nah

Countries citing papers authored by Muhammad Haris

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Haris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Haris

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

18 of 18 papers shown

1.

Aslam, Saadia, Muhammad Haris, Keith Nockels, et al.. (2024). Association of Myocardial Perfusion and Coronary Flow Reserve with Prognosis in Patients with Aortic Stenosis: Systematic Review and Meta-Analysis. SHILAP Revista de lepidopterología. 5(4). 600–611. 1 indexed citations

2.

Haris, Muhammad, et al.. (2024). Improving Classification Performance on Imbalanced Medical Data using Generative Adversarial Network. 17(1). 9–17.

3.

Hassan, Rohayanti, et al.. (2024). Hand gesture recognition with deep residual network using Semg signal. Biomedizinische Technik/Biomedical Engineering. 69(3). 275–291. 1 indexed citations

4.

Haris, Muhammad, et al.. (2022). ANALISIS PERFORMA DAN KECEPATAN KOMPUTASI ALGORITMA K-MEANS DAN K-MEDOIDS PADA TEXT CLUSTERING. 15(2). 444–464.

5.

Haris, Muhammad, et al.. (2020). Region-dependent Scale Proposals for Super-Resolution in Object Detection. 108–113. 3 indexed citations

6.

Benítez-García, Gibran, Muhammad Haris, Yoshiyuki Tsuda, & Norimichi Ukita. (2020). Finger Gesture Spotting from Long Sequences Based on Multi-Stream Recurrent Neural Networks. Sensors. 20(2). 528–528. 6 indexed citations

7.

Benítez-García, Gibran, Muhammad Haris, Yoshiyuki Tsuda, & Norimichi Ukita. (2020). Continuous Finger Gesture Spotting and Recognition Based on Similarities Between Start and End Frames. IEEE Transactions on Intelligent Transportation Systems. 23(1). 296–307. 10 indexed citations

8.

Haris, Muhammad, Greg Shakhnarovich, & Norimichi Ukita. (2020). Space-Time-Aware Multi-Resolution Video Enhancement. 2856–2865. 76 indexed citations

9.

Haris, Muhammad, Greg Shakhnarovich, & Norimichi Ukita. (2020). Deep Back-ProjectiNetworks for Single Image Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(12). 4323–4337. 67 indexed citations

10.

Haris, Muhammad, Gregory Shakhnarovich, & Norimichi Ukita. (2019). Recurrent Back-Projection Network for Video Super-Resolution. 3892–3901. 324 indexed citations breakdown →

11.

Benítez-García, Gibran, Muhammad Haris, Yoshiyuki Tsuda, & Norimichi Ukita. (2019). Similar Finger Gesture Recognition using Triplet-loss Networks. 1–6. 3 indexed citations

12.

Haris, Muhammad, Greg Shakhnarovich, & Norimichi Ukita. (2018). Deep Back-Projection Networks for Super-Resolution. 1664–1673. 1078 indexed citations breakdown →

13.

Haris, Muhammad, Takuya Watanabe, Fan Liu, M. Rahmat Widyanto, & Hajime Nobuhara. (2017). Superresolution for UAV Images via Adaptive Multiple Sparse Representation and Its Application to 3-D Reconstruction. IEEE Transactions on Geoscience and Remote Sensing. 55(7). 4047–4058. 12 indexed citations

14.

Haris, Muhammad, et al.. (2017). PERANCANGAN ALAT PENDETEKSI KADAR ALKOHOL DAN ASAP ROKOK PADA NAFAS MANUSIA. 4(1). 39–44.

15.

Haris, Muhammad, M. Rahmat Widyanto, & Hajime Nobuhara. (2017). Inception learning super-resolution. Applied Optics. 56(22). 6043–6043. 15 indexed citations

16.

Haris, Muhammad, et al.. (2016). Construction of a high-resolution digital map to support citrus breeding using an autonomous multicopter. Acta Horticulturae. 73–84. 1 indexed citations

17.

Haris, Muhammad, M. Rahmat Widyanto, & Hajime Nobuhara. (2016). First-order derivative-based super-resolution. Signal Image and Video Processing. 11(1). 1–8. 25 indexed citations

18.

Haris, Muhammad, et al.. (2014). An Efficient Super Resolution Based on Image Dimensionality Reduction Using Accumulative Intensity Gradient. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(4). 518–528. 3 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.

Explore authors with similar magnitude of impact