Michael Goebel

568 total citations
14 papers, 294 citations indexed

About

Michael Goebel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Michael Goebel has authored 14 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Michael Goebel's work include Digital Media Forensic Detection (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Machine Learning in Materials Science (2 papers). Michael Goebel is often cited by papers focused on Digital Media Forensic Detection (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Machine Learning in Materials Science (2 papers). Michael Goebel collaborates with scholars based in United States, Netherlands and Canada. Michael Goebel's co-authors include Le Gruenwald, B.S. Manjunath, Lakshmanan Nataraj, Shivkumar Chandrasekaran, Tajuddin Manhar Mohammed, McLean P. Echlin, Tresa M. Pollock, Samantha Daly, Adnan Iftekhar and Tom Bullock and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Michael Goebel

13 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Goebel United States	6	126	114	54	43	42	14	294
T. V. Geetha India	9	151 1.2×	89 0.8×	59 1.1×	44 1.0×	78 1.9×	38	392
Xiao He China	12	197 1.6×	149 1.3×	69 1.3×	74 1.7×	26 0.6×	58	408
Mariacristina Gallo Italy	9	158 1.3×	77 0.7×	28 0.5×	33 0.8×	22 0.5×	23	342
Yongwang Zhao China	9	91 0.7×	85 0.7×	44 0.8×	21 0.5×	35 0.8×	75	264
Zhongmin Yan China	11	212 1.7×	117 1.0×	70 1.3×	29 0.7×	25 0.6×	78	354
Longfei Li China	9	323 2.6×	99 0.9×	70 1.3×	27 0.6×	15 0.4×	28	432
Depeng Dang China	11	119 0.9×	60 0.5×	53 1.0×	14 0.3×	20 0.5×	41	292
Anil Ahlawat India	12	136 1.1×	74 0.6×	98 1.8×	31 0.7×	13 0.3×	66	451
Yun-Cheng Wang United States	8	196 1.6×	61 0.5×	62 1.1×	21 0.5×	13 0.3×	23	347

Countries citing papers authored by Michael Goebel

Since Specialization

Citations

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

Fields of papers citing papers by Michael Goebel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Goebel

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

All Works

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14 of 14 papers shown

Goebel, Michael, et al.. (2024). Generalizable Deepfake Detection With Phase-Based Motion Analysis. IEEE Transactions on Image Processing. 34. 100–112. 5 indexed citations

Belteton, Samuel A., et al.. (2023). Segmentation, tracking, and sub-cellular feature extraction in 3D time-lapse images. Scientific Reports. 13(1). 3483–3483. 3 indexed citations

Goebel, Michael, et al.. (2023). Resampling Estimation Based RPC Metadata Verification in Satellite Imagery. IEEE Transactions on Information Forensics and Security. 18. 3212–3221. 2 indexed citations

Goebel, Michael, et al.. (2022). Automatic classification and neurotransmitter prediction of synapses in electron microscopy. PubMed. 2. e6–e6. 1 indexed citations

Goebel, Michael, et al.. (2022). Adaptable physics-based super-resolution for electron backscatter diffraction maps. npj Computational Materials. 8(1). 13 indexed citations

Goebel, Michael, et al.. (2022). 3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks. Integrating materials and manufacturing innovation. 11(1). 71–84. 13 indexed citations

Iftekhar, Adnan, Michael Goebel, Tom Bullock, et al.. (2021). StressNet: Detecting Stress in Thermal Videos. 998–1008. 13 indexed citations

Goebel, Michael, et al.. (2021). Detection, Attribution and Localization of GAN Generated Images. Electronic Imaging. 33(4). 276–1. 16 indexed citations

Goebel, Michael, et al.. (2021). Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. Electronic Imaging. 33(4). 300–1. 1 indexed citations

10.

Nataraj, Lakshmanan, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, & B.S. Manjunath. (2021). Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices. Electronic Imaging. 33(4). 277–1. 2 indexed citations

11.

Sharman, Gary J., et al.. (2020). A KNIME Workflow for Automated Structure Verification. SLAS DISCOVERY. 25(8). 950–956. 2 indexed citations

12.

Goebel, Michael, et al.. (2020). iScanU: A Portable Scanner for Undocumented Instructions on RISC Processors. VU Research Portal. 306–317. 5 indexed citations

13.

Goebel, Michael, et al.. (2002). A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. International Conference on Machine Learning. 211–218. 1 indexed citations

14.

Goebel, Michael & Le Gruenwald. (1999). A survey of data mining and knowledge discovery software tools. ACM SIGKDD Explorations Newsletter. 1(1). 20–33. 217 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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