R.C. Mann

557 citations
30 papers · 432 · h-index 12

Impact in

Papers in

R.C. Mann

26 papers receiving 388 citations

Peers

R.C. Mann
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 136
  • Artificial Intelligence 154
  • Industrial and Manufacturing Engineering 39
  • Media Technology 17
  • Control and Systems Engineering 42
Replace J. Koplowitz with:
J. Koplowitz United States
Minghui Yang China
Danhua Xu China
Morton Nadler United States
Seppo Linnainmaa Finland
Robert W. McLaren United States
B. Chandrasekaran United States
Yubei Chen United States
Oliver Williams United Kingdom
Joaquim Marques de Sá Portugal
R.C. Mann relative to J. Koplowitz United States J. Koplowitz's profile →
Citations per field
00.5×2.7×
J. Koplowitz · 1×
Citations per year

Countries citing papers authored by R.C. Mann

Since Specialization
Citations

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

Fields of papers citing papers by R.C. Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.C. Mann. 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 R.C. Mann. The network helps show where R.C. Mann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Optimization by Mean Field Annealing
198888
2 198968
3 198950
4 199136
5 199226
6 200123
7 198322
8 199616
9 198914
10 198613
11 198712
12 198412
13 198710
14 19867
15
On Parallel Search of DNA Sequence Databases
19915
16 19885
17 19893
18 19853
19
A computer vision system for a hypercube concurrent ensemble
19883
20 19962

About R.C. Mann

R.C. Mann is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications, having authored 30 papers that have together received 432 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (6 papers), Neural Networks and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Artificial Intelligence (154 citations), Industrial and Manufacturing Engineering (39 citations), Media Technology (17 citations) and Control and Systems Engineering (42 citations). R.C. Mann has collaborated with scholars based in United States and Germany. Frequent co-authors include Griff L. Bilbro, Wesley E. Snyder, E. Wacholder, Jimei Han, Mark White, R. E. Hand, Thomas Miller, D.E. Van den Bout, Diana M. Popp and V. Protopopescu. Their work appears in journals such as Cytometry, Journal of the Optical Society of America A, Journal of Toxicology and Environmental Health, Biological Cybernetics and Pattern Recognition.

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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