David Loker

31 papers receiving 221 citations

Peers

David Loker
Comparison fields: 5 of 64
  • Signal Processing 36
  • Computer Networks and Communications 64
  • Architecture 4
  • Artificial Intelligence 73
  • Statistical and Nonlinear Physics 21
Replace G. K. Sharma with:
G. K. Sharma India
Antti Anttonen Finland
Chang‐Kyu Song South Korea
O. Dranga Hong Kong
Qian Ning China
W.K. Tsai United States
Fanliang Bu China
Meejoung Kim South Korea
Hans-Peter Bernhard Austria
Ridha Ben Abdennour Tunisia
David Loker relative to G. K. Sharma India G. K. Sharma's profile →
Citations per field
00.5×
G. K. Sharma · 1×
Citations per year

Countries citing papers authored by David Loker

Since Specialization
Citations

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

Fields of papers citing papers by David Loker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside David Loker, 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 David Loker Line = papers co-authored together David Loker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200137
2
Towards Property-Based Classification of Clustering Paradigms
201024
3
Characterization of Linkage-based Clustering
201022
4 200215
5 201713
6 201213
7 201313
8 202112
9 200212
10 20158
11 19986
12 20186
13 20176
14 20204
15 20204
16 20163
17 20173
18 20023
19 20143
20 20242

About David Loker

David Loker is a scholar working on Mechanical Engineering, Media Technology, Electrical and Electronic Engineering, Architecture and Artificial Intelligence, having authored 39 papers that have together received 225 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (11 papers), Engineering Education and Pedagogy (7 papers), Advanced machining processes and optimization (6 papers), Advanced Clustering Algorithms Research (5 papers), Data Management and Algorithms (4 papers), Industrial Automation and Control Systems (4 papers), Advanced Machining and Optimization Techniques (4 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). The work is most often cited by research in Signal Processing (36 citations), Computer Networks and Communications (64 citations), Architecture (4 citations), Artificial Intelligence (73 citations) and Statistical and Nonlinear Physics (21 citations). David Loker has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Robert Weissbach, Margareta Ackerman, Shai Ben-David, Ralph Ford, Ihab Ragai, Chetan P. Nikhare, Simina Brânzei, Alejandro López-Ortíz, Ricardo Baeza‐Yates and Karthik Sridharan. Their work appears in journals such as Measurement, The International Journal of Advanced Manufacturing Technology, Manufacturing Letters, Pattern Recognition and Journal of Manufacturing and Materials Processing.

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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