Siegfried Martens

412 total citations
10 papers, 300 citations indexed

About

Siegfried Martens is a scholar working on Artificial Intelligence, Media Technology and Ecology. According to data from OpenAlex, Siegfried Martens has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Media Technology and 2 papers in Ecology. Recurrent topics in Siegfried Martens's work include Neural Networks and Applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Remote-Sensing Image Classification (3 papers). Siegfried Martens is often cited by papers focused on Neural Networks and Applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Remote-Sensing Image Classification (3 papers). Siegfried Martens collaborates with scholars based in United States. Siegfried Martens's co-authors include Gail A. Carpenter, Scott Macomber, Curtis E. Woodcock, Sucharita Gopal, Ogi Ogas, Janet Franklin, Paolo Gaudiano, Bradley J. Rhodes and Ennio Mingolla and has published in prestigious journals such as Remote Sensing of Environment, Neural Networks and OpenBU/Boston University Institutional Repository (Boston University).

In The Last Decade

Siegfried Martens

10 papers receiving 266 citations

Peers

Siegfried Martens
Comparison fields: 5 of 61
  • Ecology 137
  • Media Technology 128
  • Artificial Intelligence 79
  • Global and Planetary Change 63
  • Atmospheric Science 58
Replace Kuniaki Uto with:
Kuniaki Uto Japan
N. Khazenie United States
Jiaqing Miao China
Adrián Pérez-Suay Spain
Marin N. Gjaja United States
Ava Vali Italy
Marcela Charfuelàn Germany
Vivien Sainte Fare Garnot Switzerland
Robert W. Fitzgerald United States
Peter Lohmann Germany
Kuniaki Uto Japan View profile →
Citations per field, relative to Siegfried Martens
Siegfried Martens · 1×
Citations per year, relative to Siegfried Martens
Siegfried Martens · 1×

Countries citing papers authored by Siegfried Martens

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegfried Martens

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 6
2 63
3
ClasserScript v1.1 User's Guide
2
4 4
5
Information Fusion and Hierarchical Knowledge Discovery by ARTMAP Neural Networks
3
6 8
7 112
8 96
9 5
10
Mobile Robot Sensor Fusion with Fuzzy ARTMAP
1

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