Jordan Pollack
About
In The Last Decade
Jordan Pollack
189 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 4.1k
- Mechanical Engineering 1.2k
- Computational Theory and Mathematics 718
- Molecular Biology 697
- Sociology and Political Science 631
Countries citing papers authored by Jordan Pollack
This map shows the geographic impact of Jordan Pollack'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 Jordan Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Pollack more than expected).
Fields of papers citing papers by Jordan Pollack
This network shows the impact of papers produced by Jordan Pollack. 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 Jordan Pollack. The network helps show where Jordan Pollack may publish in the future.
Co-authorship network of co-authors of Jordan Pollack
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan Pollack. A scholar is included among the top collaborators of Jordan Pollack 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 Jordan Pollack. Jordan Pollack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | En Route to Signal Inversion in Chemical Computing. | 0 |
| 3 | On the Coevolutionary Construction of Learnable Gradients. | 1 |
| 4 | Nannon: A Nano Backgammon for Machine Learning Research. | 1 |
| 5 | Artificial life IX : proceedings of the ninth International Conference on the Simulation and Synthesis of Artificial Life | 1 |
| 6 | Body-brain co-evolution using L-systems as a generative encoding | 88 |
| 7 | Coevolutionary dynamics in a minimal substrate | 100 |
| 8 | Reducing bloat and promoting diversity using multi-objective methods | 134 |
| 9 | Cel: a framework for enabling an internet learning community | 12 |
| 10 | Infinite RAAM: A Principled Connectionist Basis for Grammatical Competence | 4 |
| 11 | Incremental commitment in genetic algorithms | 15 |
| 12 | Coevolutionary Learning: A Case Study | 29 |
| 13 | 1 | |
| 14 | Co-Evolving Intertwined Spirals. | 47 |
| 15 | Why did TD-Gammon Work? | 12 |
| 16 | A Study of Territoriality: The Role of Critical Mass in Adaptive Task Division | 56 |
| 17 | Language Induction by Phase Transition in Dynamical Recognizers | 1 |
| 18 | 41 | |
| 19 | Parallel Interpretation of Natural Language. | 2 |
| 20 | Phenomenologically plausible parsing | 6 |
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.