J.A. Connelly

39 papers receiving 839 citations

Peers

J.A. Connelly
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 442
  • Computer Vision and Pattern Recognition 387
  • Artificial Intelligence 244
  • Biomedical Engineering 237
  • Computational Theory and Mathematics 231
Replace C.S. Petrie with:
C.S. Petrie United States
Sergio Callegari Italy
Alessandro Trifiletti Italy
Carlos Sánchez‐Azqueta Spain
Nikos Pitsianis United States
Gilles Van Assche Netherlands
Tadao Nakamura Japan
Yoshifumi Nishio Japan
Clark C. Guest United States
S. Espejo Spain
J.A. Connelly relative to C.S. Petrie United States C.S. Petrie's profile →
Citations per field
00.5×1.5×
C.S. Petrie · 1×
Citations per year

Countries citing papers authored by J.A. Connelly

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Connelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.A. Connelly

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Repeat-PPM Super-Symbol Synchronization
1
2 10
3 1
4 0
5 0
6 2
7 1
8 0
9 0
10 11
11 6
12 12
13 138
14 31
15
Macromodeling with SPICE
31
16 105
17 1
18 6
19 16
20 3

About J.A. Connelly

J.A. Connelly is a scholar working on Architecture, Electrical and Electronic Engineering and Biomedical Engineering, having authored 46 papers that have together received 912 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (20 papers), Advancements in PLL and VCO Technologies (9 papers) and Low-power high-performance VLSI design (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Hardware and Architecture (113 citations) and Computational Theory and Mathematics (231 citations). J.A. Connelly has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include C.S. Petrie, W.T. Holman, Pyung Choi, R. Stair, James M. Purcell, Thomas F. Kumosinski, Serge N. Timasheff and Helmut Pessen. Their work appears in journals such as Analytical Chemistry, IEEE Journal of Solid-State Circuits and Review of Scientific Instruments.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026