Mark Nitzberg

1.5k citations
14 papers · 1.0k · h-index 10

Impact in

Papers in

Mark Nitzberg

14 papers receiving 941 citations

Peers

Mark Nitzberg
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 512
  • Computer Graphics and Computer-Aided Design 73
  • Media Technology 80
  • Modeling and Simulation 32
  • Mathematical Physics 56
Replace Raj Acharya with:
Raj Acharya United States
Akinobu Shimizu Japan
David Letscher United States
Bahram Parvin United States
Limin Luo China
Yaohua Hu China
Caroline Uhler United States
Stefan Steinerberger United States
Ken R. Duffy Ireland
Jaewon Yang United States
Mark Nitzberg relative to Raj Acharya United States Raj Acharya's profile →
Citations per field
00.5×2.8×
Raj Acharya · 1×
Citations per year

Countries citing papers authored by Mark Nitzberg

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nitzberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Nitzberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Nitzberg Line = papers co-authored together Mark Nitzberg links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1993281
2 1992240
3 2006136
4 200894
5 200279
6 200779
7 202237
8 200222
9 202413
10 202012
11 20217
12 20245
13 20193
14
Depth from overlap
19913

About Mark Nitzberg

Mark Nitzberg is a scholar working on Computer Vision and Pattern Recognition, Safety Research, Molecular Biology, Sociology and Political Science and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Gene expression and cancer classification (3 papers), Digital Economy and Work Transformation (3 papers), Medical Image Segmentation Techniques (2 papers), Advanced Vision and Imaging (2 papers), Bioinformatics and Genomic Networks (2 papers), Molecular Biology Techniques and Applications (2 papers) and Color Science and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (512 citations), Computer Graphics and Computer-Aided Design (73 citations), Media Technology (80 citations), Modeling and Simulation (32 citations) and Mathematical Physics (56 citations). Mark Nitzberg has collaborated with scholars based in United States and Japan. Frequent co-authors include Takahiro Shiota, David Mumford, D. Mumford, John Zysman, Catherine A. Ball, Zita Zachariah, Gavin Sherlock, János Demeter, Patrick O. Brown and Jeremy Gollub. Their work appears in journals such as Nucleic Acids Research, Journal of European Public Policy, IEEE Transactions on Pattern Analysis and Machine Intelligence, Policy and Society and Lecture notes in computer science.

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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