Michael D. Indovina

729 citations
4 papers · 450 indexed · h-index 3
Topics
Biometric Identification and Security (3 papers)User Authentication and Security Systems (2 papers)Face recognition and analysis (2 papers)
Partner nations
United States

In The Last Decade

Michael D. Indovina

3 papers receiving 400 citations

Peers

Michael D. Indovina
Comparison fields: 5 of 67
  • Signal Processing 343
  • Computer Vision and Pattern Recognition 286
  • Information Systems 200
  • Artificial Intelligence 61
  • Biomedical Engineering 32
Replace Berk Gökberk with:
Berk Gökberk Türkiye
Pawel Drozdowski Germany
Chulhan Lee South Korea
U. Dieckmann Germany
Robert Frischholz Germany
Rafał Doroz Poland
Kamil Grabowski Poland
Xingbo Dong China
Christian Kraetzer Germany
Rajkumar Janakiraman Singapore
Michael D. Indovina relative to Berk Gökberk Türkiye Berk Gökberk's profile →
Citations per field
00.5×3.7×
Berk Gökberk · 1×
Citations per year

Countries citing papers authored by Michael D. Indovina

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Indovina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Indovina

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1
An Evaluation of Automated Latent Fingerprint Identification Technology (Phase II) | NIST
5
2
Concepts of Operations (CONOPS) for the Evaluation of Latent Fingerprint Technologies (ELFT) | NIST
0
3 356
4
Multimodal Biometric Authentication Methods: A COTS Approach | NIST
89

About Michael D. Indovina

Michael D. Indovina is a scholar working on Signal Processing, Safety Research and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 450 indexed citations. Recurring topics across this work include Biometric Identification and Security (3 papers), User Authentication and Security Systems (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Signal Processing (343 citations), Computer Vision and Pattern Recognition (286 citations) and Information Systems (200 citations). Michael D. Indovina has collaborated with scholars based in United States. Frequent co-authors include Robert Snelick, Alan Mink, Anil K. Jain, Umut Uludağ, Michael D. Garris, Elham Tabassi, George Quinn, Patrick Grother and Craig I. Watson. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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