J. Reich

1.6k citations
7 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
Distributed Sensor Networks and Detection Algorithms (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)Fault Detection and Control Systems (3 papers)
Partner nations
United States

In The Last Decade

J. Reich

7 papers receiving 1.1k citations

Hit Papers

Information-driven dynamic sensor collaboration20022026201020182002200400600

Peers

J. Reich
Comparison fields: 5 of 64
  • Computer Networks and Communications 905
  • Artificial Intelligence 437
  • Electrical and Electronic Engineering 368
  • Control and Systems Engineering 184
  • Computer Vision and Pattern Recognition 104
Replace Qinruo Wang with:
Qinruo Wang China
Martin E. Liggins United States
Benjamin Noack Germany
Yuming Bo China
Quanbo Ge China
Bülent Tavlı Türkiye
Xiaoqiang Ren China
Bavani Kannan United States
Sandeep Verma India
J. Reich relative to Qinruo Wang China Qinruo Wang's profile →
Citations per field
00.5×1.5×2.3×
Qinruo Wang · 1×
Citations per year

Countries citing papers authored by J. Reich

Since Specialization
Citations

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

Fields of papers citing papers by J. Reich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Reich

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 104
2 113
3 12
4 277
5 16
6 14
7
Information-driven dynamic sensor collaborationbreakdown →
623

About J. Reich

J. Reich is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computational Theory and Mathematics, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (905 citations), Artificial Intelligence (437 citations) and Control and Systems Engineering (184 citations). J. Reich has collaborated with scholars based in United States. Frequent co-authors include Feng Zhao, Jaewon Shin, Feng Zhao, Juan Liu, Leonidas Guibas, Jie Liu, Maurice Chu, Patrick Cheung, Xenofon Koutsoukos and W. B. Jackson. Their work appears in journals such as Proceedings of the IEEE, IEEE Signal Processing Magazine and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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