Morris Riedel

132 papers receiving 1.1k citations

Peers

Morris Riedel
Comparison fields: 5 of 122
  • Health Informatics 149
  • Information Systems and Management 214
  • Computer Networks and Communications 315
  • Media Technology 108
  • Hardware and Architecture 78
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Chuangbai Xiao China
Eric Eaton United States
Zhengchun Liu United States
Kolla Bhanu Prakash India
Lidong Wang China
Pekka Toivanen Finland
João L. D. Comba Brazil
Hao Cheng United States
Youngdoo Son South Korea
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Citations per field
00.5×9.7×
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Citations per year

Countries citing papers authored by Morris Riedel

Since Specialization
Citations

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

Fields of papers citing papers by Morris Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Morris Riedel, 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 Morris Riedel Line = papers co-authored together Morris Riedel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022139
2 201584
3 202172
4 200550
5 202039
6 202137
7 201935
8 201535
9 201927
10 201125
11 202324
12 200922
13 201822
14 200821
15 201821
16 202314
17 200714
18 202213
19 201213
20 202112

About Morris Riedel

Morris Riedel is a scholar working on Computer Networks and Communications, Information Systems and Management, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 144 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (53 papers), Scientific Computing and Data Management (47 papers), Advanced Data Storage Technologies (33 papers), Remote-Sensing Image Classification (17 papers), Remote Sensing in Agriculture (12 papers), Quantum Computing Algorithms and Architecture (11 papers), Cloud Computing and Resource Management (11 papers) and Parallel Computing and Optimization Techniques (10 papers). The work is most often cited by research in Health Informatics (149 citations), Information Systems and Management (214 citations), Computer Networks and Communications (315 citations), Media Technology (108 citations) and Hardware and Architecture (78 citations). Morris Riedel has collaborated with scholars based in Germany, Iceland and Italy. Frequent co-authors include Gabriele Cavallaro, Jón Atli Benediktsson, Markus Götz, Achim Streit, Sebastian Fritsch, Kristel Michielsen, Johannes Bickenbach, Antonio Plaza, Saskia Deffge and Oliver Maaßen. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Grid Computing, Physics of Fluids, IEEE Geoscience and Remote Sensing Letters and Journal of Medical Internet Research.

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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