Gregory L. Heileman

1.8k citations
125 papers · 1.2k indexed · h-index 21

Gregory L. Heileman

104 papers receiving 1.1k citations

Peers

Gregory L. Heileman
Comparison fields: 5 of 106
  • Artificial Intelligence 517
  • Information Systems 290
  • Computer Vision and Pattern Recognition 278
  • Computer Networks and Communications 176
  • Computer Science Applications 145
Replace Jilei Tian with:
Jilei Tian China
Atish Das Sarma United States
Daniel Lemire Canada
Eunyee Koh United States
Roelof van Zwol United States
Wenwu Ou China
Wang-Cheng Kang United States
Sungchul Kim United States
Carl Yang United States
Gregory L. Heileman relative to Jilei Tian China Jilei Tian's profile →
Citations per field
00.5×1.5×
Jilei Tian · 1×
Citations per year

Countries citing papers authored by Gregory L. Heileman

Since Specialization
Citations

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

Fields of papers citing papers by Gregory L. Heileman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory L. Heileman. 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 Gregory L. Heileman. The network helps show where Gregory L. Heileman may publish in the future.

Co-authorship network of co-authors of Gregory L. Heileman

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory L. Heileman. A scholar is included among the top collaborators of Gregory L. Heileman 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 Gregory L. Heileman. Gregory L. Heileman 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 0
2 0
3 0
4 18
5 7
6 28
7 23
8 16
9 36
10 41
11
The Role of Architecture in DRM Vendor Economics.
3
12 14
13
Performance loss of dirty-paper codes in additive white Gaussian noise and jitter channels
1
14 25
15 68
16 24
17 55
18
Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks
3
19 2
20
Theoretical and experimental aspects of supervised learning in artificial neural networks
3

About Gregory L. Heileman

Gregory L. Heileman is a scholar working on Computer Science Applications, Computational Mathematics and Artificial Intelligence, having authored 125 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (32 papers), Digital Rights Management and Security (15 papers) and Fuzzy Logic and Control Systems (12 papers). The work is most often cited by research in Computer Science Applications (145 citations), Artificial Intelligence (517 citations) and Computer Vision and Pattern Recognition (278 citations). Gregory L. Heileman has collaborated with scholars based in United States, Spain and Lebanon. Frequent co-authors include Michael Georgiopoulos, Chaouki T. Abdallah, Ahmad Slim, George Bebis, Stephen Verzi, Issam Dagher, Wenbin Luo, Manel Martínez‐Ramón, M. J. R. Healy and Fernando Pérez‐González. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Software Engineering.

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