Carla Purdy

701 citations
68 papers · 460 · h-index 10

Impact in

Papers in

    • Evolutionary Algorithms and Applications 8
    • Neural Networks and Applications 7
    • Fuzzy Logic and Control Systems 5
    • Engineering Education and Curriculum Development 9
    • Experimental Learning in Engineering 7

Carla Purdy

54 papers receiving 419 citations

Peers

Carla Purdy
Comparison fields: 5 of 76
  • Signal Processing 139
  • Computer Networks and Communications 221
  • Artificial Intelligence 243
  • Architecture 8
  • Software 15
Replace Hauke Petersen with:
Hauke Petersen Germany
T. Gireesh Kumar India
Hyunsoo Yoon South Korea
Liwei Kuang China
Bernhard Dieber Austria
Daniel Zucchetto Italy
Guan-Hua Tu United States
Denis Foo Kune United States
Qiben Yan United States
Xiangyu Liu China
Carla Purdy relative to Hauke Petersen Germany Hauke Petersen's profile →
Citations per field
00.5×2.7×
Hauke Petersen · 1×
Citations per year

Countries citing papers authored by Carla Purdy

Since Specialization
Citations

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

Fields of papers citing papers by Carla Purdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016194
2 201819
3 201717
4 200416
5 200516
6 200416
7 200213
8 201813
9 201811
10 20039
11 20209
12 20018
13 19997
14 20147
15 20026
16 20206
17 20205
18 20135
19 20065
20 20205

About Carla Purdy

Carla Purdy is a scholar working on Artificial Intelligence, Media Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Architecture, having authored 68 papers that have together received 460 indexed citations. Recurring topics across this work include Engineering Education and Pedagogy (9 papers), Engineering Education and Curriculum Development (9 papers), Evolutionary Algorithms and Applications (8 papers), Experimental Learning in Engineering (7 papers), Neural Networks and Applications (7 papers), Advanced Malware Detection Techniques (6 papers), Numerical Methods and Algorithms (5 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Signal Processing (139 citations), Computer Networks and Communications (221 citations), Artificial Intelligence (243 citations), Architecture (8 citations) and Software (15 citations). Carla Purdy has collaborated with scholars based in United States, Jordan and South Africa. Frequent co-authors include Khaled Alrawashdeh, Gary Lewandowski, Vignesh Subbian, Philip A. Wilsey, Mara H. Wasburn, George Purdy, Fred R. Beyette, Anant Kukreti, Paul L. Bishop and Joel Fried. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, Neurocomputing, Scalable Computing Practice and Experience, Advances in Science Technology and Engineering Systems Journal and PubMed.

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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