Michael Conrad

5.6k total citations
192 papers, 3.7k citations indexed

About

Michael Conrad is a scholar working on Molecular Biology, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Michael Conrad has authored 192 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 49 papers in Artificial Intelligence and 23 papers in Astronomy and Astrophysics. Recurrent topics in Michael Conrad's work include Evolutionary Algorithms and Applications (30 papers), Neural Networks and Applications (25 papers) and Neural dynamics and brain function (18 papers). Michael Conrad is often cited by papers focused on Evolutionary Algorithms and Applications (30 papers), Neural Networks and Applications (25 papers) and Neural dynamics and brain function (18 papers). Michael Conrad collaborates with scholars based in United States, Germany and Czechia. Michael Conrad's co-authors include S. J. Singer, Peter Calow, Klaus‐Peter Zauner, Mateen M. Rizki, Petr Jarolı́m, E.A. Liberman, H. H. Pattee, Jong‐Chen Chen, Harold M. Hastings and W. Güttinger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Conrad

182 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Conrad United States 31 1.2k 884 527 404 381 192 3.7k
Norman H. Packard United States 31 1.3k 1.1× 1.3k 1.4× 612 1.2× 819 2.0× 661 1.7× 77 7.0k
Robert Rosén United States 32 1.2k 1.1× 380 0.4× 796 1.5× 495 1.2× 434 1.1× 176 4.8k
Steen Rasmussen United States 26 835 0.7× 332 0.4× 814 1.5× 268 0.7× 164 0.4× 126 2.6k
Heinz Georg Schuster Germany 31 961 0.8× 422 0.5× 82 0.2× 130 0.3× 847 2.2× 82 4.6k
Adilson E. Motter United States 39 1.1k 0.9× 512 0.6× 104 0.2× 277 0.7× 830 2.2× 122 8.4k
Sergei Maslov United States 38 2.3k 2.0× 393 0.4× 89 0.2× 419 1.0× 751 2.0× 116 6.8k
David Williams United Kingdom 43 2.1k 1.9× 483 0.5× 352 0.7× 402 1.0× 45 0.1× 144 8.7k
Stefan Bornholdt Germany 32 1.7k 1.5× 624 0.7× 64 0.1× 320 0.8× 468 1.2× 75 5.4k
Robert L. Devaney United States 32 245 0.2× 500 0.6× 268 0.5× 679 1.7× 223 0.6× 124 6.4k
Imre Derényi Hungary 28 2.6k 2.3× 947 1.1× 56 0.1× 624 1.5× 217 0.6× 63 7.4k

Countries citing papers authored by Michael Conrad

Since Specialization
Citations

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

Fields of papers citing papers by Michael Conrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Conrad

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Conrad. A scholar is included among the top collaborators of Michael Conrad 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 Michael Conrad. Michael Conrad 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
1.
Beneš, Jan, Martin Kotrč, Peter Wohlfahrt, et al.. (2018). The Role of GDF-15 in Heart Failure Patients With Chronic Kidney Disease. Canadian Journal of Cardiology. 35(4). 462–470. 33 indexed citations
2.
Yiadom, Maame Yaa A. B., Petr Jarolı́m, Cathy A. Jenkins, et al.. (2015). Diagnostic Implications of an Elevated Troponin in the Emergency Department. Disease Markers. 2015. 1–6. 13 indexed citations
3.
O’Malley, Ryan B., David A. Morrow, Marc P. Bonaca, et al.. (2012). Abstract 11559: Determination of Cardiac Troponin with a Single-Molecule High-Sensitivity Assay and Outcomes in Patients with Stable Coronary Artery Disease: Analysis from PROVE IT-TIMI 22. Circulation. 126. 2 indexed citations
4.
Conrad, Michael, et al.. (2005). Combining Service-Orientation and Peer-to-Peer Networks.. 181–184. 4 indexed citations
5.
Conrad, Michael. (2001). Unity of measurement and motion. Biosystems. 60(1-3). 23–38. 4 indexed citations
6.
Conrad, Michael & Klaus‐Peter Zauner. (2000). Molecular Computing with Artificial Neurons. ePrints Soton (University of Southampton). 18(8). 78–89. 6 indexed citations
7.
Wrobel, John A., et al.. (2000). Analysis of HIV Type 1 Reverse Transcriptase: Comparing Sequences of Viral Isolates with Mutational Data. AIDS Research and Human Retroviruses. 16(18). 2049–2054. 6 indexed citations
8.
Conrad, Michael. (1998). Physical-biological roots of information processing.. Cybernetics & human knowing. 5. 46–59. 1 indexed citations
9.
Conrad, Michael & Klaus‐Peter Zauner. (1998). DNA as a vehicle for the self-assembly model of computing. Biosystems. 45(1). 59–66. 18 indexed citations
10.
Zauner, Klaus‐Peter & Michael Conrad. (1997). Conformation-driven molecular computing: the optical connection. ePrints Soton (University of Southampton). 3 indexed citations
11.
Conrad, Michael. (1996). Surpassing Computational Limits with Bioelectronic and Molecular Electronic Technologies:Towards the Multiscale Computational Architecture. 6(2). 46–60. 2 indexed citations
12.
Zauner, Klaus‐Peter & Michael Conrad. (1996). Simulating the interplay of structure, kinetics, and dynamics in complex biochemical networks. ePrints Soton (University of Southampton). 336–338. 3 indexed citations
13.
Conrad, Michael, et al.. (1996). High Level Control of Evolutionary Learning in Complex Neural Architectures: The Evolutionary Credit Apportionment Approach.. 197–206. 1 indexed citations
14.
Chen, Jong‐Chen & Michael Conrad. (1996). Multilevel Evolutionary Learning in an Artificial Neuromolecular Brain and Its Application to the Recognition of Chinese Characters.. 189–196. 2 indexed citations
15.
Conrad, Michael & Klaus‐Peter Zauner. (1995). Biomaterials for intelligent systems. ePrints Soton (University of Southampton). 2 indexed citations
16.
Conrad, Michael, et al.. (1995). Evolutionary credit apportionment and its application to time-dependent neural processing. Biosystems. 34(1-3). 161–172.
17.
Conrad, Michael. (1992). Molecular Computing Paradigms - Guest Editor's Introduction.. Computer. 25. 6–9. 3 indexed citations
18.
Conrad, Michael. (1990). Molecular Computing. 235–324. 81 indexed citations
19.
Conrad, Michael. (1987). Molecular computer design: a synthetic approach to brain theory. Elsevier eBooks. 1972. 6 indexed citations
20.
Conrad, Michael, et al.. (1986). A neuron Model of a Memory System for Autonomous Exploartion of an Environment. 601–609. 1 indexed citations

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