Melanie S. Mitchell

20.3k citations
116 papers · 14.0k · 3 hit papers · h-index 39

Impact in

Papers in

Melanie S. Mitchell

107 papers receiving 12.8k citations

Melanie S. Mitchell's Hit Papers

The debate over understanding in AI’s large language models 2023 · 183 citations
1830+10+20Years since publication2.5k5.0k7.5k

Peers

Melanie S. Mitchell
Comparison fields: 5 of 224
  • Artificial Intelligence 5.2k
  • Computational Theory and Mathematics 2.2k
  • Industrial and Manufacturing Engineering 753
  • Management Science and Operations Research 719
  • Health Informatics 81
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Citations per year

Countries citing papers authored by Melanie S. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Melanie S. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melanie S. Mitchell. 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 Melanie S. Mitchell. The network helps show where Melanie S. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Genetic Algorithms
Hit paper breakdown →
19968650
2
Darwin's dangerous idea
Hit paper breakdown →
1996714
3
The royal road for genetic algorithms: Fitness landscapes and GA performance
1991343
4 1993273
5 1994270
6 2006219
7
The copycat project: A model of mental fluidity and analogy-making
1995203
8
Adaptive Individuals In Evolving Populations: Models And Algorithms
1996194
9
The debate over understanding in AI’s large language models
Hit paper breakdown →
2023183
10 1995177
11 1994163
12
Analogy-Making as Perception: A Computer Model
1993149
13 1994124
14 1994117
15 1999108
16 1993101
17
Artificial Intelligence: A Guide for Thinking Humans
2019101
18
Evolving Globally Synchronized Cellular Automata
199599
19 199783
20 199480

About Melanie S. Mitchell

Melanie S. Mitchell is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Genetics and Cognitive Neuroscience, having authored 116 papers that have together received 14.0k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (35 papers), Cellular Automata and Applications (22 papers), Metaheuristic Optimization Algorithms Research (15 papers), Computability, Logic, AI Algorithms (14 papers), Evolution and Genetic Dynamics (8 papers), Evolutionary Game Theory and Cooperation (8 papers), DNA and Biological Computing (7 papers) and Artificial Immune Systems Applications (6 papers). The work is most often cited by research in Artificial Intelligence (5.2k citations), Computational Theory and Mathematics (2.2k citations), Industrial and Manufacturing Engineering (753 citations), Management Science and Operations Research (719 citations) and Health Informatics (81 citations). Melanie S. Mitchell has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Stephanie Forrest, James P. Crutchfield, Douglas R. Hofstadter, John H. Holland, Richard K. Belew, David C. Krakauer, Peter Hraber, Rajarshi Das, Erik van Nimwegen and Payel Ghosh. Their work appears in journals such as Science, Complexity, Proceedings of the National Academy of Sciences, Machine Learning and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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