Michael Giering

486 total citations
13 papers, 276 citations indexed

About

Michael Giering is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Michael Giering has authored 13 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Michael Giering's work include Fault Detection and Control Systems (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Image Processing Techniques (2 papers). Michael Giering is often cited by papers focused on Fault Detection and Control Systems (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Image Processing Techniques (2 papers). Michael Giering collaborates with scholars based in United States, Ireland and Poland. Michael Giering's co-authors include K. Krishna Reddy, Soumalya Sarkar, Kin Gwn Lore, Edgar A. Bernal, Kishore Reddy, Ashutosh Tewari, Arvind U. Raghunathan, Navdeep Jaitly, Soumik Sarkar and Julian Ryde and has published in prestigious journals such as Remote Sensing, Journal of Signal Processing Systems and International Journal of Prognostics and Health Management.

In The Last Decade

Michael Giering

13 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Giering United States 9 80 65 45 42 36 13 276
Chenxu Dai China 11 104 1.3× 64 1.0× 41 0.9× 23 0.5× 45 1.3× 28 297
Yinghui Kong China 9 158 2.0× 39 0.6× 22 0.5× 46 1.1× 49 1.4× 35 297
Honghui Fan China 10 158 2.0× 88 1.4× 42 0.9× 20 0.5× 15 0.4× 49 363
Kaspars Ozols Latvia 9 71 0.9× 101 1.6× 23 0.5× 75 1.8× 36 1.0× 37 391
Vafa Maihami Iran 7 56 0.7× 62 1.0× 17 0.4× 71 1.7× 26 0.7× 18 310
Zenglong Peng China 4 63 0.8× 95 1.5× 12 0.3× 86 2.0× 30 0.8× 13 309
Tony Wong Canada 11 43 0.5× 82 1.3× 12 0.3× 66 1.6× 32 0.9× 63 417
Zhengguang Xu China 11 179 2.2× 55 0.8× 18 0.4× 165 3.9× 31 0.9× 69 440
Fan Jiang China 14 85 1.1× 48 0.7× 30 0.7× 23 0.5× 26 0.7× 91 700
Zhenning Yang China 10 75 0.9× 187 2.9× 21 0.5× 46 1.1× 20 0.6× 23 442

Countries citing papers authored by Michael Giering

Since Specialization
Citations

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

Fields of papers citing papers by Michael Giering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Giering

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

All Works

13 of 13 papers shown
1.
Sarkar, Soumalya, et al.. (2020). Wearable EEG-based Activity Recognition in PHM-related Service Environment via Deep Learning. International Journal of Prognostics and Health Management. 7(4). 13 indexed citations
2.
Browne, David, Michael Giering, & Steven Prestwich. (2020). PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote Sensing. Remote Sensing. 12(7). 1092–1092. 9 indexed citations
3.
Giering, Michael, et al.. (2020). Structural Material Property Tailoring of Dual Phase Titanium Alloy Microstructures Using Deep Neural Networks. AIAA Scitech 2020 Forum. 3 indexed citations
4.
Lore, Kin Gwn, K. Krishna Reddy, Michael Giering, & Edgar A. Bernal. (2019). Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. 926–933. 19 indexed citations
5.
Giering, Michael, et al.. (2019). Structural Material Property Tailoring Using Deep Neural Networks. AIAA Scitech 2019 Forum. 7 indexed citations
6.
Lore, Kin Gwn, Kishore Reddy, Michael Giering, & Edgar A. Bernal. (2018). Generative Adversarial Networks for Depth Map Estimation from RGB Video. 1258–12588. 36 indexed citations
7.
Reddy, K. Krishna, et al.. (2016). Anomaly Detection and Fault Disambiguation in Large Flight Data: A Multi-modal Deep Auto-encoder Approach. Annual Conference of the PHM Society. 8(1). 53 indexed citations
8.
Sarkar, Soumik, et al.. (2016). Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. Journal of Signal Processing Systems. 88(2). 205–217. 22 indexed citations
9.
Sarkar, Soumalya, K. Krishna Reddy, & Michael Giering. (2016). Deep Learning for Structural Health Monitoring: A Damage Characterization Application. Annual Conference of the PHM Society. 8(1). 41 indexed citations
10.
Trčka, Nikola, P. C. Quimby, Luca F. Bertuccelli, et al.. (2015). Scalable human-in-the-loop decision support. 1–6. 2 indexed citations
11.
Tewari, Ashutosh, Michael Giering, & Arvind U. Raghunathan. (2011). Parametric Characterization of Multimodal Distributions with Non-gaussian Modes. 286–292. 32 indexed citations
12.
Giering, Michael. (2008). Retail sales prediction and item recommendations using customer demographics at store level. ACM SIGKDD Explorations Newsletter. 10(2). 84–89. 38 indexed citations
13.
Feinsilver, Philip, et al.. (2001). Canonical variables and analysis on so(n, 2). Journal of Physics A Mathematical and General. 34(11). 2367–2376. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026